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Past CBBP seminars

This page lists pasts talks at the CBBP seminars (2002 to 2023). The Computation Biology and Biological Physics group is now part of COSHE. See the calendar for future and recent COSHE seminars.


  • Nov 08: Andreas Nilsson and Jesper Sjolte, Geology
    Synchronising and synthesising paleo data with chronologic uncertainties
  • Oct 30: Dmytro Perepolkin, CEC
    Introduction to Bayesian Parametric Quantile Regression
  • Oct 03: Silas Boye Nissen, Stanford University
    The molecular mechanism of the core planar cell polarity complex elucidated with single-molecule imaging techniques in live Drosophila wing cells
  • Jun 14: Kristoffer Carlsson
    Julia for Scientific Computing
  • May 16: Ullrika Sahlin, CEC
    An introduction to communicating uncertainty when producing scientific advice
  • May 09: Najmeh Abiri
    Developing an AI model to classify tick species in a citizen science project: Challenges and solutions
  • May 03: Christoffer Åberg, University of Groningen
    Exploring glass-like characteristics of intracellular motion in mammalian cells
  • Mar 13: Emil Andersson
    Spectroscopically guided tumour delineation by machine learning: Towards personalised tumour diagnostics
  • Feb 27: Nikolay Oskolkov
    Dimension reduction techniques for Life Science applications
  • Jan 13: Daqu Zhang
    Deep learning models for patient selection based on nodal status


  • Dec 05: Jonas Tegenfeldt
    Order-disorder transition in DNA solutions in microfluidic arrays
  • May 23: Stefan Wallin, Memorial University of Newfoundland, Canada
    Folding, fold switching and energy landscape of regulatory protein RfaH
  • May 18: Suze Julia Roostee
    Spatial and quantitative analysis of IHC stains in breast cancer
  • May 02: Anders Björkelund
    (Rapid) triage of chest pain patients with respect to acute myocardial infarction
  • Apr 28: Victor Olariu Ahnell 
    Cell reprogramming: from a systems perspective.
  • Apr 04: Malin Hjärtström
    Prediction model for breast cancer treatment.
  • Mar 30: Carl Troein
    From biochemical reactions to the fate of stem cells
  • Mar 21: Patrik Eden
    Basic nuisance: size, learning rate, epochs
  • Mar 03: Fredrik Bertilsson
    Modelling of gene regulatory and spatial mechanisms which pattern the early human neural tube
  • Feb 21: Daesung Cho
    Evolutionary properties of neural networks: Exploration of robustness and evolvability in the genotype-phenotype map
  • Feb 07: Carl Troein
    Challenges in MCR-ALS analysis of spectroscopic imaging data


  • Dec 13: Nils Ryde
    Spectroscopy challenges in astrophysics
  • Dec 6: Anders Irbäck
    Putting lattice proteins on a quantum annealer
  • Nov 22: Axel Nyström
    Serial ECG analysis using machine learnin
  • May 24: Emil Andersson
    A multi-scale dynamical model for T cell development
  • May 17: Victor Olariu
    Models of direct cell reprogramming
  • May 3: Tobias Ambjörnson
    Pandemics modelling 101
  • April 12: Anders Irbäck
    Simulating protein droplet phase diagrams


  • Nov 30: Carl Troein
    Infrared spectroscopy methods and data processing challenges
  • Nov 16: Björn Linse
    Multiple imputation by chained equations
  • Mar 9: Emil Andersson
    Constructing energy landscapes of logical gene networks
  • Mar 2: Anders Irbäck
    Simulating protein droplet formation
  • Feb 24: Jens Krog
    Photophysical image segmentation
  • Feb 10: Victor Olariu
    3D model of the neural tube patterning


  • Dec 16: Carl Troein
    OCTAVVS: A graphical toolbox for high-throughput preprocessing and analysis of vibrational spectroscopy imaging data
  • Dec 9: Daniel Nilsson
    Finite-size scaling analysis of protein droplet formation
  • Dec 2: Albertas Dvirnas
    Similarity analysis for time series using a matrix profile
  • Nov 28: Ludvig Lizana, Dept. of Physics, Umeå University
    Modelling protein search on human DNA
  • Nov 25: Syahril Siregar
    Non-negative matrix factorization (NNMF) in hyperspectral imaging
  • Nov 18: Björn Linse
    Neural network design for survival analysis
  • Nov 11: Behruz Bozorg
    Towards studying liquid-liquid phase separation in a simple HP protein model, using field theoretic simulations
  • Nov 4: Anders Björkelund
    Predicting heart disease in the emergency room
  • Oct 21: Bo Söderberg
    Transforming interacting polymers into a field theory, simulated using complex Langevin dynamics
  • Oct 14: Tobias Ambjörnsson
    Random pairing clustering
  • Oct 7: Carsten Peterson
    Artificial neural networks as generic function approximators
  • Sep 30: Najmeh Abiri
    Statistical inference with deep latent variable models
  • Sep 23: Patrik Edén
    How to win the FDA omics mislabeling challenge
  • Jun 14: Adriaan Merlevede
    Direct reprogramming of fibroblasts to neurons
  • May 27: Yuan Li
    A foreign gene in competition with its native counterpart in protein dimer formation
  • May 20: Albertas Dvirnas
    High-resolution dots in nanochannels
  • May 6: Tobias Ambjörnsson
    Bacterial species identification using DNA barcodes
  • Apr 29: Jens Krog
    Shallow learning: Bayesian image segmentation
  • Apr 15: Mattias Ohlsson
    Two 'new' collaborations
  • Apr 8: Daniel Nilsson
    Simulating protein droplet formation
  • Apr 1: Victor Olariu
    Naive and Primed Pluripotent Stem Cells
  • Mar 25: Anders Irbäck
    Dissecting protein stability changes in crowded environments by NMR and Monte Carlo
  • Mar 11: Björn Linse
    Survival analysis of heart transplants using machine learning
  • Feb 11: Carl Troein
    Correction and analysis of large FTIR image datasets
  • Jan 28: Vinay S Swaminathan, Div. of Oncology and Pathology
    Encoding mechanical information through multi molecular structure: Lessons from Directed Cell Migration
  • 2018

  • Oct 29: Patrik Edén
    Growing ANN topologies
  • Oct 8: Albertas Dvirnas
    Structural variations in densely labelled DNA maps
  • Sep 10: Tomas Martin-Bertelsen
    Analysis of short time-series RNA-Seq expression data to elucidate the soil organic matter decomposition mechanisms in ectomychorrizal fungi
  • Mar 5: Peter Jönsson, Physical Chemistry
    Interactions between membrane-associated molecules – from aggregating proteins to immune-cell contacts
  • Feb 26: Yuan Li & Anders Irbäck
    What will happen if a foreign gene meets its native counterpart?
  • Jan 15: Joakim Stenhammar, Physical Chemistry
    Correlations and collective behaviours in suspensions of swimming microorganisms
  • 2017

  • Jun 28: Jens Krog, University of Southern Denmark
    Bayesian analysis of unfolding DNA
  • Jun 12: André Larsson
    Thesis presentation
  • May 22: Daniel Nilsson
    Markov state models for studying protein crowding dynamics
  • Feb 8: Henrik Jönsson
    How do you develop a computable flower and who needs it?
  • 2016

  • Dec 19: Adriaan Merlevede
    The chemistry of artificial life
  • Dec 12: Carl Troein
    A dynamical model of the regulation of Fenton chemistry in the litter decomposer Paxillus involutus
  • Dec 5: Najmeh Abiri
    Improving Imputtation using Stacked Denoising Autoencoders
  • Nov 28: Mattias Ohlsson
    Image segmentation using deep convolutional neural networks
  • Nov 21: Pawel Krupinski
  • Nov 15: Lucy Colwell, Cambridge
    Using evolutionary sequence variation to build predictive models of protein structure and function
  • Nov 7: George Napolitano, Mathematical Statistics
    Ising model on Random Triangulations
  • Oct 24: André Larsson
    Models of auxin signalling in the shoot apical meristem and initiation of root hairs
  • Oct 17: Tobias Ambjörnsson
    Gene and plasmid ID using DNA barcodes and cell phone based microscopy
  • Oct 3: Tatyana Turova, Mathematical Statistics
    Phase transitions in the one-dimensional Coulomb gas ensembles
  • Jun 16: Alexander Schug, KIT, Karlsruhe
    Protein and RNA structure prediction via co-evolutionary analysis
  • Jun 9: Björn Linse
    Classification for heart transplant decisions with heterogeneous and missing data
  • May 25: Behruz Bozorg
    Models of mechanics and growth in developmental biology: A Computational Morphodynamics approach
  • May 31: Anna Bille
    Peptide folding and local unfolding of SOD1 in the presence of interacting macromolecular crowders – a Monte Carlo approach
  • May 16: Carl Troein
    Activation and repression in circadian clock networks
  • May 9: Anders Irbäck
    Local unfolding of the protein SOD1 in the presence of protein crowders
  • May 2: Karl Fogelmark
    On gene regulatory networks and data fitting
  • Apr 18: Adriaan Merlevede
    Crossover algorithms for variable-length genomes
  • Mar 21: Bo Söderberg
    Apollonian Tiling and the Lorentz Group
  • Apr 4: Denni Rögnvaldsson
    Self-organising approaches for deviation detection
  • Mar 1: Charles Kurland
    Modular protein domains track genome evolution
  • Feb 15: Martin Trulsson, Theoretical Chemistry
    Shear flows of non-Brownian and Brownian hard sphere suspensions (from jammed to glassy states)
  • Feb 1: Najmeh Abiri
    Unbiased Optimization of Microarray Pre-processing
  • Jan 25: Victor Olariu
    Nanog, Oct4 and Tet1 interplay in establishing pluripotency
  • Jan 18: Pawel Krupinski
    Regulation of T-cell commitment
  • 2015

  • Dec 7: Björn Linse
    Efficient simulations of proteins in crowded environments
  • Nov 23: Anna Bille
    Crowding continuation
  • Nov 16: Henrik Jönsson
    When is it time to divide?
  • Oct 26: Tobias Ambjörnsson
    Plasmid analysis using DNA barcodes
  • Oct 19: Ingemar André, Biochemistry & Structural Biology
    Computational Design of Protein and Peptide Self-assembly
  • Oct 5: Behruz Bozorg
    Mechanical signals and morphogenesis
  • Sep 28: André Larsson
    A Boolean approach to inferring biological interactions
  • Sep 14: David Ansari
    The impact of Human Leukocyte Antigen on outcome in heart transplantation
  • Sep 21: Carl Troein
    Separation of activation and repression in transcriptional networks
  • Jun 1: Patrik Edén
    Estimating concordance for machine learning
  • May 25: Anders Irbäck
    Effects of macromolecular crowding on a miniprotein
  • May 21: Jonas Kalderstam
    PhD thesis presentation: Neural network approaches to survival analysis
  • May 11: Michaela Reiter-Schad
    PhD thesis presentation: Statistical physics of DNA: Melting and confinement effects
  • May 4: Jonas Kalderstam
    Identifying risk groups by optimizing on the area under the survival curve
  • Apr 27: Joakim Stenhammar, Physical Chemistry
    Thermodynamics and phase equilibria of self-propelled colloids
  • Apr 20: Bo Söderberg
    (Non-)conservation in 2D discrete dynamics
  • Apr 13: Mattias Ohlsson
    Deep neural networks
  • Mar 23: COMPUTE seminar
  • Mar 20: Jes Frellsen, Department of Engineering, University of Cambridge
    Bayesian generalized ensemble Markov chain Monte Carlo
  • Mar 2: Dimitrios Floudas, Microbial Ecology
    Evolution of wood decay in Agaricomycetes: Clues from comparative genomics.
  • Feb 23: Carsten Peterson
    T-cell specification is an irreversible process – insights from computational modelling of a minimal network architecture
  • Feb 9: Håkan Wallander
    Soil – reflections on the basis of our existence
  • Feb 2: Tomas Martin-Bertelsen
    Molecular interactions controlling soil carbon sequestration (MICCS) – Mapping transcriptome data to spectral changes
  • Jan 26: Henrik Persson, Immunology
    From fakhir cells to silicone blood vessels
  • 2014

  • Dec 8: Stefan Wallin
    Lipoproteins: a new challenge for molecular modeling
  • Nov 24: Najmeh Abiri
    A set of Python/Cython wrappers for extrapolation based solvers for differential algebraic systems
  • Nov 10: Henrik Jönsson
    Revisiting the stem cell regulatory network in plants
  • Nov 3: Pawel Krupinski
  • Oct 27: Anna Bille
  • Sep 29: Tobias Ambjörnsson
    Nano-channel based DNA barcoding: an overview of some recent progress
  • Sep 22: Karl Fogelmark
    The digital organism
  • Sep 15: Christian Holzgräfe
    Protein fold switching in coarse-grained models
  • May 26: André Larsson
    Radial patterning in the shoot meristem
  • May 19: Charleston Noble
    A Pair Hidden Markov Model for Detecting Structural Variation in DNA Melting Maps
  • May 12: Christian Holzgräfe
    Hybrid Monte-Carlo
  • Apr 28: Siddhaling Urolagin, Dept. of Experimental Medical Science
  • Apr 14: Carl Troein
    Optimizing ODE models in C++
  • Apr 7: Heiner LinkeSolid state physics
    Parallel computation using self-propelled biological agents in designed networks
  • Mar 31: Jonas Kalderstam
    Survival Likelihood
  • Mar 3: Patrik Edén
    Preprocessing protein array data
  • Feb 20: Ingve Simonsen, Norwegian University of Science and Technology, Trondheim
    Cascading failures in complex networks: Generic modeling and examples of power blackouts and the domino effect
  • Feb 24: Anders Irbäck
    Aggregation of apolipoprotein A-I
  • Feb 13: Flavio SenoPadua University
    Exploring the universe of protein folds
  • Feb 3: Mauno Vihinen, Dept of Experimental Medical Science
    Systematic description and prediction of DNA, RNA and protein variations and their effects
  • Jan 27: Joop Vermeer, University of Lausanne
    Talking with the neighbors: Understanding spatial accommodation during plant development
  • Jan 20: Mattias Ohlsson
  • Jan 13: Bo Söderberg
    Energy conservation (or not) in discrete time Newtonian dynamics
  • 2013

  • Dec 16: Stefan Wallin
    How do new protein folds arise?
  • Dec 9: Bettina Greese
    Towards new insights from an extended model for polarity of root hair cells
  • Dec 2: Michaela Reiter-Schad
    A simplified model for DNA melting
  • Nov 25: Ramune Kuktaite, SLU
    Understanding bio-based materials structure and function: a closer step towards sustainable uses
  • Oct 21: Lloyd Sanders
    Canonical epidemics on networks: another look
  • Oct 7: Behruz Bozorg
    Stress and strain as developmental cues in plants
  • Sep 30: Henrik Jönsson
    ERC interview rehearsal
  • Sep 23: Pawel Krupinski
    Why do we need mechanical models of tissues and why we still do not have what we want?
  • Sep 16: Victor Olariu
    Gene Network Landscapes by Numbers
  • Jun 10: Karl Fogelmark
    Keeping the error in check
  • Jun 3: Christian Holzgräfe
    Exploring protein fold switching in an off-lattice hydrophobic-polar model
  • May 20: André Larsson
    Increased stability through KANADI autocatalysis
  • May 13: Carl Troein
    Phytophthora and potatoes
  • May 6: Juan MR Parrondo, Universidad Complutense de Madrid
    Diffusive proofreading in transcription
  • Apr 29: Jonas Kalderstam
    Python – My scientific hammer
  • Apr 15: Sigurður Jónsson
    Mechanical resistance in unstructured proteins
  • Apr 22: Tobias Ambjörnsson
    Hitchhiker's guide
  • Apr 8: Lars Holmgren, Department of Oncology-Pathology, Karolinska Institute
    Formation and dissociation of multicellular structures in development and cancer
  • Mar 25: Patrik Edén
    High throughput pre-processing – a project worth weighting for?
  • Mar 18: Charleston Noble
    The role of caretakers in disease dynamics
  • Mar 12: Philip Gerlee, Sahlgrenska Cancer Center & Mathematical Sciences, Gothenburg
    The impact of phenotypic switching on brain tumour growth and invasion
  • Mar 4: Anders Irbäck
    Aggregate geometry in amyloid fibril nucleation
  • Feb 25: Stefan Wallin
    Antibody-peptide interactions.
  • Feb 18: Arnab Bhattacherjee
    How advantagerous is it to be disordered?
  • Feb 11: Bo Söderberg
    Leapfrog and conservation
  • Feb 4: Erica Manesso
    Computational modeling of T-cell formation kinetics: output regulated by initial proliferation-linked deferral of developmental competence at early stages
  • Jan 28: Henrik Jönsson
    Incoherent feedforward loops in a spatial context
  • Jan 14: Bettina Greese
    Modelling planar cell polarity in the Arabidopsis root epidermis
  • 2012

  • Dec 17: Simon Pigeon
    Diffusion of particle in crowded system
  • Dec 3: Charles Kurland, Dept. of Biology
    Cataclysmic rooting of the current phylogenetic tree
  • Nov 26: Lloyd Sanders
    Stochastic SIRS epidemics in city networks
  • Nov 19: Mattias Ohlsson
    Extreme learning machines
  • Oct 22: Pawel Krupinski
    Finite element method modeling of plant tissue
  • Oct 15: Carsten Peterson
    The Nobel Prize in Physiology or Medicine 2012
  • Oct 8: Victor Olariu
    Molecular dynamics of stem cells differentiation and reprogramming
  • Sep 17: José Teles
    Computational modeling in the hematopoietic system (thesis presentation)
  • Sep 10: Carl Troein
    A digital organism for exploring clock evolution
  • Jun 18: Anders Tunlid, Microbial Ecology
    Soil molecular biology – towards a new understanding of carbon and nutrient cycling in forest soils Jun 11: Karl Fogelmark The circadian clock in Arabidopsis and Ostreococcus
  • Jun 4: Leif Bülow, Department of Pure and Applied Biochemistry
    Hemoglobins – a radical view
  • May 28: Behruz Bozorg
    Modeling mechanics in plant cells by using triangular biquadratic springs
  • May 21: Erik Werner, University of Gothenburg
    DNA extension in rather thin channels
  • May 14: Christian Holzgräfe
    Mutation and binding-induced fold switching
  • May 7: Iskra Staneva
    Monte Carlo approach to binding and aggregation of disordered peptides
  • Apr 25: Stefan Wallin
    Mechanisms of protein-DNA interactions
  • Apr 2: Michaela Reiter-Schad
    Extended Azbel approach for DNA melting profiles
  • Mar 19: Jonas Kalderstam
    Training neural networks on incomplete data using genetic algorithms
  • Mar 12: Tobias Ambjörnsson
    Transfer matrices with applications to protein–DNA binding
  • Feb 27: Sigurður Jónsson
    Accelerating atomic-level protein simulations by flat-histogram techniques
  • Feb 20: Arnab Bhattacherjee
    Intrinsically disordered proteins at work: Coupled folding-binding in a simple model
  • Feb 13: Anders Irbäck
    Exploring the conformational ensembles sampled by Aβ and α-synuclein
  • Feb 6: Stefan Wallin
    Characterizing the peptide binding properties of proteins: a Monte Carlo approach
  • Jan 30: Patrik Edén
    Still a simple population model for neurosphere formation: the quest for b
  • Jan 23: Erica Manesso
    Computational modelling of thymocytopoiesis reveals the importance of proliferation at early stages
  • Jan 16: Anna Bille
    Misfolding of SOD1 and TDP-43, role in ALS
  • 2011

  • Dec 19: Lloyd Sanders
    Two-strain mutant SIS modelling: Stochasticity vs. Mean Field
  • Dec 12: Henrik Jönsson
    The 10000 kronor question, or Can auxin flux dynamics be described in a single model?
  • Dec 5: Bo Söderberg
    Area preserving maps: the mystery with the missing parameter
  • Nov 28: Mattias Ohlsson
    Random forest classification and modeling survival for heart transplantation patients
  • Nov 22: Erika Kuchen, John Innes Center, Norwich
    Feedback between polarity, growth and geometry in leaf shape generation
  • Nov 17: Bettina Greese, Albert Ludwigs University, Freiburg
    Trichome pattern formation: New insights from mathematical modelling and quantitative analysis
  • Nov 14: Michael Green, Data Intelligence, Copenhagen
    Sales modeling and the art of quantifying media’s effect on consumer behavior
  • Nov 7: José Teles
    Stem cell fate decisions – on the nature of landscapes
  • Oct 24: Victor Olariu
    Minimal architecture with computational means for stem cell commitment and reprogramming
  • Oct 17: Pawel Krupinski
    Modeling interplay of mechanical and biochemical signals in morphogenesis
  • Oct 10: Erik Alexandersson, Swedish University of Agricultural Sciences
    Late Blight Resistance in Potato – an overview of related research at SLU Alnarp and Lund University
  • Oct 3: Iskra Staneva
    Grabbing the master watchman with an EF-hand protein
  • Sep 26: Nikolay Oskolnikov, DTU Nanotech
    Cold denaturation of Lennard-Jones helices with applications to alpha-helical polypeptides
  • Sep 19: Carl Troein
    Worming the EARLY BIRD into the Arabidopsis clock
  • Sep 12: Wouter Boomsma
    Increasing the efficiency of protein structure calculations
  • June 13: Charles Kurland, Dept. of Biology
    Evolution differently: the origin of prokaryotes
  • May 30: Heiner Linke, Nano Center, LTH
    Constructing molecular motors
  • May 16: Christian Holzgräfe
    HP model
  • May 9: Tobias Ambjörnsson
    Forced dynamics in crowded systems
  • May 2: Susanne Widell, Dept. of Biology
    Cancer and plants
  • Apr 18: Michaela Schad
    DNA melting
  • Apr 11: Björn Samuelsson
    Evolutionary modeling and the complexity of natural selection
  • Apr 4: Arnab Bhattacherjee
    Designing Misfolded Proteins: A Statistical Theory Based Approach
  • Mar 28: Jeremy Gruel
    Modeling the spatial gene expression in the shoot apical meristem
  • Mar 14: Sigurdur Aegir Jónsson
    Wang-Landau simulation of alpha-synuclein
  • Mar 7: Carsten Peterson
    Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases
  • Feb 21: Anders Irbäck
    Monomers and dimers of Aβ42 variants
  • Feb 14: Stefan Wallin
    A simple model for coupled folding and binding
  • Feb 7: Ajith Harish, Dept. of Biology
    Tracing the evolution of RNA and protein structure in the ribosome
  • Jan 31: Per Petersson, Med. fak.
    Brain control of motor programs in health and disease
  • Jan 24: Dag Arhén, Dept. of Biology
    Introduction to next generation sequencing with preliminary results for fungal pathogenicity
  • Jan 17: Patrik Edén
    Pre-clinical drug prioritization via prognosis-guided genetic interaction networks
  • 2010

  • Dec 20: Erica Manesso
    Dynamics Inside the Hematopoietic Hierarchy in Adult Mice
  • Dec 6: Lloyd Sanders
    Single File Diffusion and First Passage Times in Biological Systems
  • Nov 29: Bo Söderberg
    Quasiperiodicity and Pattern Formation
  • Nov 22: Mattias Ohlsson
    Decoding and simulations of neurons
  • Nov 8: José Teles
    To be or not to be... – fate decision in hematopoietic stem cells
  • Nov 1: Victor Olariu
    1. Erythroid Lineage Dynamics, 2. Ground State Differentiation and Reprogramming in ES cells system.
  • Oct 25: Johan Nilsson
    Virtual Cross-matching in Heart Transplantation
  • Oct 18: Pawel Krupinski
    Why do we need better mechanical models of living cells?
  • Oct 4: Namiko Mitarai, Niels Bohr Institute
    Choice of Synonymous Codons and Ribosome Traffic
  • Sept 27: Karoline Wiesner, LU & Univ. of Bristol
    Information and all that – A summary of four months exploration into information acquisition and sharing of bio-systems
  • Sep 20: Bernhard Mehlig. Univ of Gothenburg
    Statistics of genetic variation in a changing environment
  • Sep 13: Iskra Staneva
    Can we do helices?
  • Sep 6: Martin Linden, Caltech
    Understanding the cell shape and locomotion of Spiroplasma
  • Aug 30: Philippe Robert, LU/ENS-Lyon
    Comparison of Evolutionary Algorithms to optimise biological network parameters.
  • Jun 22: Mile Gu, Univ of Singapore
    Can the laws of biology be derived?
  • Jun 7: Daniel Otzen, Univ of Aarhus
    Protein-lipid interactions and the biophysics of cytotoxicity
  • May 31: David Kelly, Univ of Bristol
    Causal state models of Flourescence Resonance Energy Transfer (FRET)
  • May 24: David Gisselsson Nord, Dept of Clinical Genetics
    Chromosome segregation errors in cancer
  • May 17: Jérémy Gruel
    Stabilizing the SAM
  • May 10: Philip Gerlee, Niels Bohr Institute
    Structural correlations in bacterial metabolic networks
  • May 3: Patrik Brundin, Experimental Medical Science
    Cell therapy in Parkinson's disease: will it fly?
  • Apr 29: Nick Monk, Univ of Nottingham
    Models for spaced cell fate assignment in plants and animals
  • Apr 26: Patrik Sahlin
    Modelling the development of phyllotactic patterns at the shoot apical meristem of Arabidopsis thaliana
  • Apr 12: Martin Nilsson Jacobi, Chalmers
    Targeted self-organization
  • Apr 9: Carl Troein, Univ of Edinburgh
    The life and timekeeping of Ostreococcus tauri
  • Mar 29: Erica Manessa
    Modeling pancreatic beta cell lifetime
  • Mar 22: Sigurdur Aegir Jónsson
    A minimal sequence code for switching protein structure and function
  • Mar 15: Petros Koumoutsakos, ETH, Zürich
    Multiscale simulations using particles
  • Mar 8: Pontus Melke
    Cell signaling: a systems approach
  • Mar 1: Anders Irbäck
    Conformational switching in the HP model
  • Feb 22: Christopher Sturk
    A study of the shoot apical meristem by means of computational modeling and microarray analysis
  • Feb 15: Dag Ahrén, Dept of Biology
    Fungal host interactions – Are you a friend or a foe?
  • Feb 8: Thomas Laurell, Dept of Electrical Measurements
    Acoustic separation of cells
  • Feb 1: Mattias Olsson
    Some active/going todo projects
  • Jan 25: Stefan Wallin
    PDZ domain-peptide interactions: some new results
  • Jan 18: Henrik Jönsson
    Beräkningsbiologi och biologisk fysik
  • Jan 11: Patrik Éden
    ANN and Cox regression
  • 2009

  • Dec 14: José Teles
    Lineage commitment and differentiation in hematopoiesis
  • Dec 7: Ingemar André, Dept of Chemistry
    Structure prediction and design of protein assembly
  • Nov 30: Pawel Krupinski
    Modeling the dynamics of the cells – plants and animals
  • Nov 23: Jérémy Gruel, Univ of Rennes
  • Nov 16: Iskra Staneva
    More peptide binding
  • Nov 9: Henrik Jönsson
    Models of genes, hormones, and physical forces in the plant shoot
  • Oct 26: Tobias Ambjörnsson
    What is he doing there?
  • Oct 19: Erica Manesso, Univ of Padova
    Dynamics of pancreatic beta cells
  • Oct 12: Christopher Sturk
    An analysis of a synthetic transcriptional oscillator
  • Oct 5: Lloyd Sanders, Univ of Auckland
    Periastron advance effects in extrasolar planetary systems
  • Sep 28: Bo Söderberg
    Clustering in random graphs
  • Sep 24: Victor Olariu, Univ of Sheffield
    Nonlinear modelling of stem cell dynamics
  • Jun 15: Carl Troein, University of Edinburgh
    The origins of complexity in circadian clocks
  • Jun 8: Karoline Wiesner, University of Bristol
    Landauer's principle lurking behind measures of complexity
  • Jun 1: Ralf Eichhorn, Nordita
    Transport phenomena in non-equilibrium systems: Paradoxes and benefits of noise
  • May 25: Kajsa Paulsson, Dept of Experimental Medical Science
    Antigen presentation in the context of MHC class I – focus on quality control
  • May 18: Anders Irbäck
    The initial stages of protein aggregation
  • May 11: Peter Apell, Chalmers
    Biological physics in Göteborg
  • May 4: Patrik Sahlin
    Reintroducing stem cells to plant development modeling
  • Apr 27: Mattias Larsson, Swedish University of Agricultural Sciences
    Information transfer in chemical signalling: Emitters, signals and receivers
  • Apr 6: Carsten Peterson
    Serum proteome profiling of breast cancer
  • Mar 30: Federico Collechia
    Novel glioma stem cell surface markers – prediction via cross-database searches
  • Mar 16: Stefan Wallin
    Aggregation of two short peptide sequences with a knowledge-based potential
  • Mar 2: Jonas Tegenfeldt, Solid State Physics
    Melting mapping of DNA in small channels
  • Feb 23: Patrik Éden
    A simple population model for neurosphere formation
  • Feb 16: José Teles
    Genetic regulation of hematopoiesis
  • Feb 9: Pawel Krupinski
    The logic of mammalian embryogenisis
  • Feb 2: Mattias Olsson
    Some active/going todo projects
  • Jan 26: Morten Krogh
    Mass spectrometry with an orbitrap mass analyzer
  • Jan 19: Johan Nilsson, Thoracic Surgery
    Heart and lung transplantation: Prediction of long-term survival
  • Jan 12: Iskra Staneva
    Binding to a PDZ domain
  • 2008

  • Dec 15: Erik Börjesson
    Adsorption at surfaces, what forces interact?
  • Dec 8: Bo Söderberg
    Fitting a factorized model to rectangular data
  • Dec 1: Mikael Borg, Copenhagen University
    Instrinsically disordered proteins in regulatory processes
  • Nov 17: Helena Stjernberg, Lund University Libraries / Henrik Jönsson
    Parallel publication in LUP
  • Nov 10: Simon Mitternacht
    A revision of our protein model... and a few words about Alzheimers
  • Oct 27: Giorgio Favrin, Univ of Cambridge
    Structural reorganization and potential toxicity of oligomeric species
  • Oct 20: Anders Irbäck
    Formation and growth of oligomers: an MC study of a protein tau fragment
  • Oct 13: Pontus Melke
    Benefits of having a shape
  • Oct 6: Alberto Imparato, Univ of Aarhus
    Work and heat probability distribution of driven Brownian particles: Theory and experiments.
  • Sep 29: Patrik Sahlin
    Cell division in Drosophila wing primordium and plant tissue.
  • Sep 22: Carsten Peterson
    Hematopoiesis by the numbers and by design.
  • Sep 15: Federico Collechia
    Dimensionality and dynamics in the behavior of C. Elegans
  • Sep 8: Stefan Wallin
    Thermodynamics and kinetics of protein knot formation.
  • Jun 11: Michael Green (dissertation lecture)
    Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach
  • May 26: José Teles
    In silico gene expression microdissection in heterogeneous cell population samples
  • May 19: Björn Samuelsson
    Aspects of nonhuman intuition: testing how horses learn
  • May 12: Anders Svensson (Diploma work presentation)
    Periodiska fixpunkter till en modell av auxintransport
  • May 5: Pawel Krupinski
    Patterns of growth – simulations of biomechanical deformation in plant tissue
  • Apr 28: Patrik Edén
    Simultaneous regulation of proliferation and self-renewal
  • Apr 21: Ben Smith, Physical Geography and Ecosystems Analysis
    Transcending time, space and scientific tradition in a global model of vegetation and ecosystem response to climate change
  • Apr 14: Mattias Ohlsson
    Exini Diagnostics
  • Apr 7: Eric Warrant, Cell and Organism Biology
    A tale of two fishes: the visual ecology of two deep-sea predatory fishes
  • Mar 31: Michael Green
    Machine learning and the art of covering too many topics in 45 minutes
  • Mar 17: Bo Söderberg
    Chemical reaction dynamics with finite molecule numbers
  • Mar 10: Lars Gislén
    Ancient mathematical astronomy
  • Mar 3: Henrik Jönsson
    Mechanisms for spontaneous pattern formation in biology
  • Feb 25: Simon Mitternacht
    Report from Biophysical Society 52nd Annual Meeting
  • Feb 20: Stefan Wallin, Harvard
    Redesign of PDZ-PDZ domain interfaces
  • Feb 11: Sven Nelander, Gothenburg
    Using drug combinations to construct regulatory models of cancer cells
  • Feb 4: Pontus Melke
    Planar polarity and root hair positioning
  • Jan 28: Anders Irbäck
    Force-induced unfolding of a fibronectin module
  • Jan 21: Katarina Sjögreen Gleisner, Radiation Physics
    Modeling and prediction of the biodistribution and absorbed doses in radionuclide therapy
  • Jan 14: Federico Colecchia
    In-silico investigation of tissue-specific transcriptional regulatory networks
  • 2007

  • Dec 17: Christian Balkenius, Cognitive Science
    Attention and anticipation
  • Dec 10: Stanley Brown, Copenhagen Univ.
    Genetics and carbon nanotubes
  • Dec 3: Carsten Peterson
    Embryonic stem cells revisited – lineage determination and epigenetics
  • Nov 27: Paul Higgs, McMaster Univ.
    Evolution of the genetic code
  • Nov 19: Liwen You
    Computational prediction models for proteolytic cleavage and epitope identification
  • Nov 12: Jörgen Ripa, Theoretical Ecology
    Gradual evolution in stochastic environments – on the feedback between environmental fluctuations, population dynamics and long term evolutionary change
  • Nov 5: Thore Husfeldt, Computer Science
    A new algorithm for Steiner trees with applications to signaling pathways and phylogenetic trees
  • Oct 29: Thoas Fioretos, Clinical Genetics
    Molecular changes in leukemia
  • Oct 22: Patrik Sahlin
    A pattern generating model inspired by plant phyllotaxis
  • Oct 15: Pawel Krupinski
    Mechanics of plant cells or what finite elements can do
  • Oct 8: Morten Krogh
    Sequencing technologies
  • Oct 1: Patrik Edén
    False Discovery Rate: the rate of false discoveries or a false rate of discoveries?
  • Sep 24: Michael Green
    On the dark side of artificial neural network ensembles
  • Sep 17: Mattias Ohlsson
    Survival after heart tranplantation – an analysis using ANN
  • Sep 10: Stefano Luccioli, Florence
    Reconstructing the free energy landscape of a protein model from mechanical unfolding manipulations
  • Sep 3: Alex Gremiaux, Toulouse/Chalmers
    Relation between protein and water dynamics: Low frequency dielectric study of relaxation processes in hydrated protein
  • Aug 13: Karsten Goede, Leipzig
    AFM experiments on specfic adhesion of peptides on semiconductors
  • Aug 7: Jose Teles, Lisbon
    RheugulationDB: an integrative tool for the study of rheumatoid arthritis
  • Jun 11: Liwen You
    Using uncertainty and Gaussian process to detect targets in pathogens' genomes
  • Jun 4: Pramod Wangikar, IIT, Mumbai
    Prediction of Protein Structure Using Backbone Fragment Library and a Multilayered Learning Algorithm
  • May 28: Vijay Chickarmane, Caltech
    Robust network dynamics of DNA damage control
  • May 21: Sigismund Kobe, Dresden
    Exact energy landscapes of proteins using a coarse grained model
  • May 14: Rikard Alm, Biochemistry
    Proteome profiling of strawberry and characterization of a Bet v 1-homologous allergen
  • May 7: Mikael Akke, Biophysical Chemistry
    Protein unfolding studied by nuclear spin relaxation
  • Apr 23: Cecilia Ritz
    Classification and computational methods in gene expression data analysis
  • Apr 16: Ronald Kröger, Cell and Organism Biology
    Physical aspects of vertebrate color vision
  • Apr 2: Carl Troein
    Gene regulatory networks: dynamics and stability
  • Mar 26: Lund Systems Biology Group
    Mathematical aspects of systems biology
  • Mar 19: Bo Söderberg
    Mode locking, binary sequences, and the Farey tree
  • Mar 12: Hans-Uno Bengtsson
    Undergraduate education, Theoretical Physics
  • Mar 5: Henrik Jönsson
    Plants solve the da Vinci code
  • Feb 26: Igor N. Berezovsky, Harvard
    Thermophilic adaptation through the looking glass of physics
  • Feb 19: Simon Mitternacht
    Differences in solution behavior between four semiconductor-binding peptides
  • Feb 12: Anders Irbäck
    Self-assembly into a beta-barrel
  • Feb 5: Wolfhard Janke, Leipzig
    Geometrical picture of criticality
  • Jan 29: Sayan Mukherjee, Duke Univ.
    Integrating multiple genomic sources and modelling tumor progression – borrowing strength
  • Jan 22: Yingchun Liu
    Statistical and functional analysis of genomic and proteomic data
  • Jan 15: Federico Colecchia
    Database/software for tissue-specific investigation of gene regulation
  • Jan 8: Pontus Melke
    Modeling bacterial growth
  • 2006

  • Dec 18: Patrik Edén
    A physicist's stem cell definition
  • Dec 11: Carsten Peterson
    Stem cell switch dynamics
  • Dec 4: Carl Troein
    The why of regulation
  • Nov 27: Morten Krogh
    Local recurrence of breast cancer
  • Nov 20: Ulf Olsson, Physical Chemistry
    Surfactant self-assembly in micelles and microemulsions
  • Nov 13: Markus Ringnér
    Challenges in the use of microarray data for classification
  • Nov 06: Christer Wingren, Immunology
    High-throughput cancer proteomics using recombinant antibody microarrays
  • Oct 30: Michael Bachmann
    Folding and aggregation of protein-like heteropolymers at mesoscopic scales
  • Oct 23: Mattias Ohlsson
    Mortality Prediction in Cardiac Surgery
  • Oct 16: Michael Green
    Selection of ECG leads using ANN ensembles for pre-clinical assessment of chest pain patients
  • Oct 9: Bo Söderberg
    Can you see the index profile of a lens?
  • Sep 25: Yingchun Liu
    Unravel deregulated cellular signaling pathways by integrating gene expression and regulatory motifs analyses
  • Sep 18: Cecilia Ritz
    Reducing overestimation in microarray missing value imputation
  • Sep 11: Anders Dellson, Mitrionics AB
    Open source blasting with field programmable gate arrays
  • Sep 4: Anders Irbäck
    Beta-hairpin folding
  • Jun 12: Thomas Breslin, Malmö University Hospital
    Venous thromboembolism: from good old clinical markers to proteomic treasure hunting
  • May 29: Karoline Wiesner, University of California Davis
    Complexity in quantum processes
  • May 22: Christer Löfstedt, Chemical Ecology and Ecotoxicology
    Evolution of pheromone communication in moths
  • May 15: Henrik Jönsson
    Computational Biology & Biological Physics in Arabidopsis
  • May 8: Dan-E. Nilsson, Cell and Organism Biology
    The eye machine
  • Apr 24: Pontus Melke
    A rate equation approach to elucidate the kinetics and robustness of the TGF-β pathway
  • Apr 10: Simon Mitternacht
    Thermal unfolding of Ubiquitin and charges in water
  • Apr 3: Hans-Uno Bengtsson
    On the universality of capillary properties
  • Mar 27: Peter Johansson
    Building a classifier – a comparison of six strategies
  • Mar 20: Patrik Edén
    Mathematical modelling of cancer stem cells
  • Mar 13: Mai Suan Li, Warsaw
    Scaling properties of protein folding and misfolding
  • Mar 6: Liwen You
    Detect rare cases vs. decrease false positive rate
  • Feb 27: Carl Troein
    A toy genome
  • Feb 20: Morten Krogh
    Missing values in 2D gel data sets
  • Feb 13: Carsten Peterson
    Transcriptional dynamics of the embryonic stem cell switch
  • Feb 6: Stefan Schnabel Thomas Vogel, Leipzig
    Multicanonical and chain-growth simulations of polymer chains
  • Jan 30: Markus Ringnér
    Taxonomy of breast cancer
  • Jan 23: Anders Castor, Hematopoietic Stem Cell Lab.
    Normal and malignant stem cells in leukemia
  • Jan 16: Michael Green
    Automatic relevance determination and model comparison in neural networks
  • Jan 9: Dennis Hasselquist, Animal Ecology
    Genomics of birdsong behaviour
  • 2005

  • Dec 12: Jari Häkkinen
    Automatic de novo detection of protein modifications
  • Dec 5: Jure Piškur, Cell and Organism Biology
    Comparative genomics: a tool to understand yeast evolution
  • Nov 28: Mattias Ohlsson
    Scored area under curve (AUC)
  • Nov 21: Bo Söderberg
    Fish-eye lenses and the Abel transform
  • Nov 14: Marcus Heisler, Caltech
    Plant development
  • Nov 7: Yingchun Liu
    Pathway activity analysis by using motifs
  • Oct 31: Cecilia Ritz
    Missing values in microarray data – useful or not?
  • Oct 24: Henrik Jönsson
    Microfluidic chemostat experiments and computational models
  • Oct 17: Anders Irbäck
    PROFASI: a Monte Carlo simulation package for protein folding and aggregation
  • Oct 10: Sune Lehmann, DTU, Denmark
    Segmentation and tracking in biological systems
  • Oct 3: Ulrike Nuber, Cancer Stem Cell Biology
    Adult neural stem cells: from genes to systems
  • Sep 26: Dag Ahren, Microbial Ecology
    Measuring genome conservation across taxa: divided strains and united kingdoms
  • Sep 19: Michael Bachmann, Leipzig
    Polymers astray: folding and binding near attractive substrates
  • Sep 12: Henrik Semb, Stem Cell and Pancreas Developmental Biology
    Human embryonic stem cells
  • Sep 5: Björn Canbäck, Microbial Ecology
    The global distribution of marine bacterioplankton
  • Jun 13: Peter Johansson
    WeNNI: a weighted approach for preprocessing of microarray data
  • May 30: Hans-Uno Bengtsson
    On the universality of capillary constants, or capillaries as biological atoms
  • May 23: Lars Gislén
    Advanced optics in a jellyfish eye.
  • May 16: Garry Gippert
    Information beast and protein beauty: distance-based statistical potentials used to evaluate 3D models
  • May 9: Cecilia Ritz
    Leukemia diagnosis – classification using kNN
  • May 2: Rikard Alm
    A proteomic study of strawberry allergen
  • Apr 25: Carl Troein
    Scaling of gene categories in genomes
  • Apr 18: Morten Krogh
    Microarray analysis of brain cancer
  • Apr 11: Björn Samuelsson
    Attractors in synchronous random boolean networks
  • Apr 4: Liwen You
    Apoptosis and caspases
  • Mar 21: Michael Green
    Performance estimation using cross testing
  • Mar 14: Markus Ringnér
    Untranslated regions of mRNA
  • Mar 7: Jari Häkkinen
    Cluster analysis of mass spectra
  • Feb 28: Bo Söderberg
    Why I like the expression eN2/2 so much more than 2N(N-1)/2
  • Feb 21: Mattias Ohlsson
    Decision support for acute coronary syndromes
  • Feb 14: Yingchun Liu
    Proteomics strategies for biology and medicine
  • Feb 7: Kasper Astrup Eriksen
    An experimental screen for non-neutrally evolving genes in a clade of symbiotic fungi
  • Jan 31: Sandipan Mohanty
    Protein folding, unfolding, and misfolding
  • Jan 24: Andreas Wacker, Math. Physics
    Superlattices – a model system for non-linear transport
  • Jan 17: Henrik Jönsson
    An explicit spatial model of yeast microcolony growth
  • Jan 10: Peter Johansson
    Key players in melanoma
  • 2004

  • Dec 13: Kiran Raosaheb Patil (Guest)
    Understanding transcriptional regulation of metabolism
  • Dec 6: Anders Irbäck
    Mechanical unfolding of ubiquitin
  • Nov 29: Patrik Edén
    Gene expression analysis of 5q- myelodysplastic syndroms
  • Nov 22: Garry Gippert
    Proline pucker, pair potentials and positional disorder in protein structure modeling. (Thursday surprise menu)
  • Nov 15: Thomas Breslin
    Chipping B cell differentiation
  • Nov 8: Kim Sneppen (Guest)
    Transcription/translation dynamics modeling
  • Oct 25: Thomas Hamelryck (Guest)
    A measure of amino solvent exposure & Biopython and Mocapy (a dynamic bayesian networks toolkit)
  • Oct 18: Ala Trusina (Guest)
    Information horizons in complex networks
  • Oct 11: Carl Troein
    Pathway profiling of breast cancer tumors
  • Oct 4: Cecilia Ritz
    Predicting distant recurrences in CMF-treated breast cancer
  • Sep 27: Morten Krogh
    Proteomics analysis of cancer tissues
  • Sep 20: Björn Samuelsson
    Nested canalyzing rules in random Boolean networks
  • Sep 13: Liwen You
    ISMB2004 paper: predicting genetic regulatory response using classification
  • Sep 6: Markus Ringnér
    ISMB/ECCB 2004 overview
  • Jun 14: Ylva Aspenberg
    Modelling the stem cells of the adult mammalian brain
  • Jun 7: Michael Green
    Recognising a pattern featured object in a RoboCup environment
  • May 24: Jacob Bock Axelsen (Guest)
    On the efficiency of translation regulation: the unfolded protein response
  • May 17: Uli Hansmann (Guest)
    Computer simulations of small proteins
  • May 10: No group meeting
    Källén symposium in the afternoon
  • May 3: Udo Haecker, Dept. of Cell & Mol. Biology
    The role of polysaccharides in the shaping of morphogen gradients
  • Apr 26: Jari Häkkinen
    Proteios and HUPO PSI standards
  • Apr 19: Mattias Ohlsson
  • Apr 5: Kasper Eriksen
    Localization of DNA damage by charge exchanging repair enzymes: effects of cooperativity on detection time
  • Mar 29: Bo Söderberg
    Generating function techniques in branching processes
  • Mar 22: Sandipan Mohanty
    Simulating peptide aggregation
  • Mar 15: Jan Forsman, Theor. Chemistry
    Theoretical models of surface forces in polymer solutions: the importance of explicit solvent representation
  • Mar 8: Hemang Parikh (Guest)
    PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
  • Mar 1: Carsten Peterson
    Random Boolean genetic networks revisited
  • Feb 23: Peter Johansson
    An ML-estimation of discrimination when using measurements with varying quality
  • Feb 9: Henrik Jönsson
    Phyllotaxis in plants
  • Feb 2: Giorgio Favrin
    Non-native structures and amyloid formations
  • Jan 26: Jesper Borg(Guest)
    Fold-x: a force field to predict protein folding and stability
  • Jan 19: Anders Irbäck
    Peptide folding and aggregation
  • Jan 12: Selpi (Guest)
    An FDM prototype for pathway and protein interaction data
  • 2003

  • Dec 15: Thomas Breslin
    Rank based meta analysis of genomic data
  • Dec 8: Garry Gippert, Dept. of Mol. Biophysics
    Sidechain packing models and statistical potentials used to evalute the quality of protein sequence-to-structure alignments
  • Dec 1: Patrik Edén
    Effects of different BrdU staining protocols
  • Nov 24: Carl Troein
    Random boolean network models and the yeast transcriptional network
  • Nov 17: Yingchun Liu
    Murine embryonic fibroblast (MEF) project
  • Nov 10: Cecilia Ritz
    Gene expression profiles and clinical observables in breast cancer prognosis
  • Nov 3: Morten Krogh
    A rat model of ischemic stroke
  • Oct 27: Stefan Karlsson, Dept. of Mol. Med.
    The role of TGF-beta in the regulation of hematopoiesis
  • Oct 20: Björn Samuelsson
    Diffusion in a periodic potential – with applications from fluidics for DNA analysis
  • Oct 13: Liwen You
    Why neural networks should not be used for HIV-1 protease cleavage site prediction
  • Oct 6: Andreas Arvidsson, Restorative Neurology Section
    Neurogenesis from stem- and progenitor cells in the adult brain
  • Sep 29: Markus Ringnér
    RNA interference
  • Sep 22: Jari Häkkinen
    The Lund Swegene Bioinformatics Facility
  • Sep 15: Mattias Ohlsson
    Regional cerebral blood flow in Alzheimers disease: classification and analysis of heterogeneity
  • Sep 8: Kasper Eriksen
    A connection between gene expression and the strength of transcription factor binding
  • Sep 1: Fredrik Sjunnesson
    A model study of folding thermodynamics of three beta-sheet peptides
  • Aug 25: Hans-Uno Bengtsson
    Are capillary properties really universal?
  • Aug 18: Peter Johansson
    Support vector machines
  • Aug 11: Jonas Tegenfeldt, Div. of Solid State Physics
    Micro- and nanofluidics for DNA analysis
  • Jun 16: Henrik Jönsson
    Plant stem cells – from in vivo to in silico, and back?
  • Jun 10: Samuel Andersson
    Bioinformatic exploration of antisense transcripts
  • Jun 2: Cecilia Clementi, Rice University
    Topology and energetics in protein systems: from folding to function
  • May 26: Bo Söderberg
    Random Feynman graphs
  • May 19: Carl Troein
    Bioarray software environment (BASE)
  • May 12: Stefan Wallin
    Two-state folding over a weak free-energy barrier
  • May 5: Fredrik Sjunnesson
    Context dependent hydrogen bonds and the green mamba
  • Apr 28: Giorgio Favrin
    A Transition State Analysis with a Derived Potential for SH3
  • Apr 22: György Marko-Varga, AstraZeneca
    Protein expression analysis in disease – the new challenge
  • Apr 14: Sten Eirik Jakobsen, Stem Cell Center
    Identification, characterization and molecular regulation of hematopoietic stem cells
  • Apr 7: Anders Irbäck
    Study of a protein that is unstructured in isolation
  • Mar 31: Thomas Breslin
    Review of selected talks at AAAS/MGED (Denver, Febr. 2003)
  • Mar 17: Patrik Edén
    Simplistic systems biology?
  • Mar 10: Carsten Peterson
    Computational aspects of biology development
  • Mar 3: Morten Krogh
    Regulation at a distance in Yeast?
  • Feb 24: Yingchun Liu
    Class discovery in expression data
  • Feb 17: Björn Samuelsson
    To simulate protein folding with monte carlo dynamics
  • Feb 10: Markus Ringnér
    The impact of DNA copy number on gene expression
  • Feb 3: Carl Troein
    A new approach to random boolean networks
  • Jan 27: Patrik Medstrand, Dept. of Cell & Mol. Biology
    Transposable elements in humans: genome distribution and impact on gene regulation
  • Jan 20: Kasper Eriksen
    The Young data
  • Jan 13: Henrik Haraldsson
    Hermite decomposition of ECGs for training Neural Networks
  • 2002

  • Dec 10: Peter Johansson
    Analysis of gene expression profiles of melanoma
  • Dec 3: Jari Häkkinen
    Protein identification
  • Nov 22: Pär-Ola Bendahl, Dept. of Oncology
    Linkage-disequilibrium analysis
  • Nov 19: Mattias Ohlsson
    Protein structure alignment
  • Nov 12: Hans-Uno Bengtsson
    A simple model for the arterial system
  • Nov 5: Bo Söderberg
    Random graphs
  • Oct 21: Stefan Wallin
    Similarity measures for proteins
  • Oct 21: Fredrik Sjunnesson
    Why water makes protein folding messy
  • Oct 14: Giorgio Favrin
    Protein structure prediction
  • Oct 7: Anders Irbäck
    Protein folding
  • Sep 30: Thomas Breslin
    Probabilistic estimation of microarray data reliability and underlying gene expression
  • Sep 23: Patrik Edén
    Monkey Index, now with P-values