Annotation of the Human Genome by High-Throughput Sequence Analysis of Naturally Occurring Proteins

Title: Annotation of the Human Genome by High-Throughput Sequence Analysis of Naturally Occurring Proteins

Volume: 1 Issue: 1

Author(s): Simon J. McGowan, Jonathan Terrett, Clive G. Brown, Paul J. Adam, Louise Aldridge, Jason C. Allen, Bob Amess, Kristian A. Andrews, Martin Barnes and David E. Barnwell

Affiliation:

Keywords: proteomics, genome, human, genes, protein isoforms, bioinformatics

Abstract: The identification of protein-coding genes is currently based on the merging of evidence and predictions from a variety of databases that may themselves contain inaccurate and partial information. We have developed a method for mapping accurate interpretations of protein MS-MS data to the genome. This approach enables verification of genes, exons, transcripts and variant transcripts as well as the de novo discovery of novel protein-coding genes. Here we describe improvements in spectral interpretation algorithms, multiple separation techniques, sub-cellular fractionation and novel bioinformatics approaches to characterise more than 14,000 naturally occurring human genes.

Cite this article as:

McGowan J. Simon, Terrett Jonathan, Brown G. Clive, Adam J. Paul, Aldridge Louise, Allen C. Jason, Amess Bob, Andrews A. Kristian, Barnes Martin and Barnwell E. David, Annotation of the Human Genome by High-Throughput Sequence Analysis of Naturally Occurring Proteins, Current Proteomics 2004; 1 (1) . https://dx.doi.org/10.2174/1570164043488298