Pinstripe: a suite of programs for integrating transcriptomic and proteomic datasets identifies novel proteins and improves differentiation of protein-coding and non-coding genes
Dennis K Gascoigne, Seth W Cheetham, Pierre B Cattenoz, Michael B Clark, Paulo P Amaral, Ryan J Taft, Dagmar Wilhelm, Marcel E Dinger, John S Mattick
Bioinformatics | OXFORD UNIV PRESS | Published : 2012
MOTIVATION: Comparing transcriptomic data with proteomic data to identify protein-coding sequences is a long-standing challenge in molecular biology, one that is exacerbated by the increasing size of high-throughput datasets. To address this challenge, and thereby to improve the quality of genome annotation and understanding of genome biology, we have developed an integrated suite of programs, called Pinstripe. We demonstrate its application, utility and discovery power using transcriptomic and proteomic data from publicly available datasets. RESULTS: To demonstrate the efficacy of Pinstripe for large-scale analysis, we applied Pinstripe's reverse peptide mapping pipeline to a transcript lib..View full abstract
Awarded by National Health and Medical Research Council (NHMRC) Australia
Awarded by NHMRC
This work was supported by a National Health and Medical Research Council (NHMRC) Australia Fellowship (631668; J.S.M.), an NHMRC Career Development Award (631542; M.E.D.), and a Queensland Government Department of Employment, Economic Development and Innovation Smart Futures Fellowship (M.E.D.).