Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Marc Coram

dblp:66/4203 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2006
0000-0002-8877-2501ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metabolomics
LC-MS data analysis
0.112006
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS · Bioinform. 2006
Bioinformatics and computational biology
proteomics
0.112006
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS · Bioinform. 2006
Bioinformatics and computational biology › proteomics › quantitative proteomics
label-free quantification
0.012006
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS · Bioinform. 2006
Bioinformatics and computational biology › proteomics › quantitative proteomics
peptide quantification
0.012006
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

peptide feature detection · 0.1normalization · 0.1alignment · 0.1
YearPublicationVenuePosition
2006 A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS
abstract
MOTIVATION: Comparing two or more complex protein mixtures using liquid chromatography mass spectrometry (LC-MS) requires multiple analysis steps to locate and quantitate natural peptides within a single experiment and to align and normalize findings across multiple experiments. RESULTS: We describe msInspect, an open-source application comprising algorithms and visualization tools for the analysis of multiple LC-MS experimental measurements. The platform integrates novel algorithms for detecting signatures of natural peptides within a single LC-MS measurement and combines multiple experimental measurements into a peptide array, which may then be mined using analysis tools traditionally applied to genomic array analysis. The platform supports quantitation by both label-free and isotopic labeling approaches. The software implementation has been designed so that many key components may be easily replaced, making it useful as a workbench for integrating other novel algorithms developed by a growing research community. AVAILABILITY: The msInspect software is distributed freely under an Apache 2.0 license. The software as well as a Zip file with all peptide feature files and scripts needed to generate the tables and figures in this article are available at http://proteomics.fhcrc.org/.
Matthew Bellew, Marc Coram, Matthew Fitzgibbon, Mark Igra, Timothy W. Randolph 0002, Pei Wang 0014, Damon May, Jimmy K. Eng, Ruihua Fang, ChenWei Lin, Jinzhi Chen, David Goodlett, Jeffrey Whiteaker, Amanda G. Paulovich, Martin McIntosh
Bioinform.2