A community effort to identify and correct mislabeled samples in proteogenomic studies

Summary, in Swedish

In a community effort to combat sample mislabeling in multi-omic studies, computational solutions received show a wide range of accuracy. The final collaborative product, COSMO, achieves high performance. Applying COSMO to published datasets demonstrates biological impact of the tool.

• Författare: Seungyeul Yoo; Zhiao Shi; Bo Wen; SoonJye Kho; Renke Pan; Hanying Feng; Hong Chen; Anders Carlsson; Patrik Edén; Weiping Ma; Michael Raymer; Ezekiel J. Maier; Zivana Tezak; Elaine Johansson; Denise Hinton; Henry Rodriguez; Jun Zhu; Emily Boja; Pei Wang; Bing Zhang
• Avdelning/ar: Beräkningsbiologi och biologisk fysik - Genomgår omorganisation
• Publiceringsår: 2021-05-14
• Språk: Engelska
• Publikation/Tidskrift/Serie: Patterns
• Volym: 2
• Issue: 5
• Länkar: http://dx.doi.org/10.1016/j.patter.2021.100245
• Dokumenttyp: Artikel i tidskrift
• Förlag: Cell Press
• Ämne: Bioinformatics and Systems Biology
• Nyckelord: proteomics, genomics, mislabeling
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 2666-3899