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

<p>(n.b. figshare bug prevents me adding OGS Team as first authors. You could cite with Bentham doi from link but author list was truncated anyway)<strong> <br></strong></p> <p><strong><br></strong></p> <p><strong>Abstract</strong>: 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.