Abstract
Annotation of protein coding genes in sequenced genomes has been routinely carried out using gene prediction programs guided by available transcript data. The advent of mass spectrometry has enabled the identification of proteins in a high-throughput manner. In addition to searching proteins annotated in public databases, mass spectrometry data can also be searched against conceptually translated genome as well as transcriptome to identify novel protein coding regions. This proteogenomics approach has resulted in the identification of novel protein coding regions in both prokaryotic and eukaryotic genomes. These studies have also revealed that some of the annotated noncoding RNAs and pseudogenes code for proteins. This approach is likely to become a part of most genome annotation workflows in the future. Here we describe a general methodology and approach that can be used for proteogenomics.
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Acknowledgements
We thank the Department of Biotechnology (DBT), Government of India, for research support to the Institute of Bioinformatics. Keshava K. Datta is a recipient of Research Fellowship from the University Grants Commission (UGC), Government of India. Anil K. Madugundu is a recipient of BINC-Research Fellowship from DBT.
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Datta, K.K., Madugundu, A.K., Gowda, H. (2016). Proteogenomic Methods to Improve Genome Annotation. In: Sechi, S. (eds) Quantitative Proteomics by Mass Spectrometry. Methods in Molecular Biology, vol 1410. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3524-6_5
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DOI: https://doi.org/10.1007/978-1-4939-3524-6_5
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