Unknown

Dataset Information

0

Software platform for rapidly creating computational tools for mass spectrometry-based proteomics.


ABSTRACT: We describe and demonstrate the proteomics computational toolkit provided in the open-source msInspect software distribution. The toolkit includes modules written in Java and in the R statistical programming language to aid the rapid development of proteomics software applications. It contains tools for processing and manipulating standard MS data files, including signal processing of LC-MS data and parsing of MS/MS search results, as well as for modeling proteomics data structures, creating charts, and other common tasks. We present this toolkit's capability to rapidly develop new computational tools by presenting an example application, Qurate, a graphical tool for manually curating isotopically labeled peptide quantitative events.

SUBMITTER: May D 

PROVIDER: S-EPMC2696634 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Software platform for rapidly creating computational tools for mass spectrometry-based proteomics.

May Damon D   Law Wendy W   Fitzgibbon Matt M   Fang Qiaojun Q   McIntosh Martin M  

Journal of proteome research 20090601 6


We describe and demonstrate the proteomics computational toolkit provided in the open-source msInspect software distribution. The toolkit includes modules written in Java and in the R statistical programming language to aid the rapid development of proteomics software applications. It contains tools for processing and manipulating standard MS data files, including signal processing of LC-MS data and parsing of MS/MS search results, as well as for modeling proteomics data structures, creating cha  ...[more]

Similar Datasets

| S-EPMC3509211 | biostudies-literature
| S-EPMC6387837 | biostudies-literature
| S-EPMC3925203 | biostudies-literature
| S-EPMC3196362 | biostudies-literature
| S-EPMC7789171 | biostudies-literature
| S-EPMC4009759 | biostudies-literature
| EGAC00001002236 | EGA
| S-EPMC5826643 | biostudies-literature
2018-12-14 | GSE118974 | GEO
| S-EPMC5291777 | biostudies-literature