Team two: MS data offers 84 percent coverage of the predicted human proteome and presents 193 new proteins not predicted by genomic data
Stephanie Sutton |
While Bernard Kuster and his colleagues were compiling ProteomicsDB, a separate team of researchers at Johns Hopkins University, Baltimore, USA, and the Institute of Bioinformatics, Bangalore, India, tackled the challenge in a different way, using a single mass spectrometry platform and data analysis pipeline to generate data (1). Their study identified proteins encoded by about 84 percent of all the genes in the human genome predicted to encode proteins, plus 193 proteins that geneticists had not predicted. Here, two of the authors of the study – Akhilesh Pandey, Johns Hopkins professor and founder and director of the Institute of Bioinformatics, and Harsha Gowda, a scientist at the same institute – discuss the project.
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