Abstract
The field of proteogenomics has been driven by combined advances in next-generation sequencing (NGS) and proteomic methods. NGS technologies are now both rapid and affordable, making it feasible to include sequencing in the clinic and academic research setting. Alongside the improvements in sequencing technologies, methods in high throughput proteomics have increased the depth of coverage and the speed of analysis. The integration of these data types using continuously evolving bioinformatics methods allows for improvements in gene and protein annotation, and a more comprehensive understanding of biological systems.
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This work was supported by funding provided by the National Institutes of Health through contract S13-068 from Leidos.
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Ruggles, K.V., Fenyƶ, D. (2016). Next Generation Sequencing Data and Proteogenomics. In: VĆ©gvĆ”ri, Ć. (eds) Proteogenomics. Advances in Experimental Medicine and Biology, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-319-42316-6_2
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