Informatics solutions for high-throughput proteomics.
The success of mass-spectrometry-based proteomics as a method for analyzing proteins in biological samples is accompanied by challenges owning to demands for increased throughput. These challenges arise from the vast volume of data generated by proteomics experiments combined with the heterogeneity in data formats, processing methods, software tools and databases that are involved in the translation of spectral data into relevant and actionable information for scientists. Informatics aims to provide answers to these challenges by transferring existing solutions from information management to proteomics and/or by generating novel computational methods for automation of proteomics data processing.
Topaloglou
Thodoros
T
Information Engineering Center, Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, M5S 3G8, Canada. thodoros@mie.utoronto.ca
D030562:Databases, Protein; D048088:Informatics; D013058:Mass Spectrometry; D019151:Peptide Library; D020543:Proteome / Q000737:chemistry / Q000378:metabolism / Q000502:physiology; D040901:Proteomics / Q000379:methods*; D012984:Software
D019151:Peptide Library; D020543:Proteome