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Thang Viet Pham

dblp:248/2164 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-0333-2492ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics › shotgun proteomics
data-independent acquisition
0.412020
iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics · Bioinform. 2020
Bioinformatics and computational biology › proteomics
protein quantification
0.412020
iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics · Bioinform. 2020
Bioinformatics and computational biology
proteomics
0.412020
iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics · Bioinform. 2020

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

maximal peptide ratio extraction · 0.4MaxLFQ · 0.4
YearPublicationVenuePosition
2020 iq: an R package to estimate relative protein abundances from ion quantification in DIA-MS-based proteomics
abstract
SUMMARY: We present an R package called iq to enable accurate protein quantification for label-free data-independent acquisition (DIA) mass spectrometry-based proteomics, a recently developed global approach with superior quantitative consistency. We implement the popular maximal peptide ratio extraction module of the MaxLFQ algorithm, so far only applicable to data-dependent acquisition mode using the software suite MaxQuant. Moreover, our implementation shows, for each protein separately, the validity of quantification over all samples. Hence, iq exports a state-of-the-art protein quantification algorithm to the emerging DIA mode in an open-source implementation. AVAILABILITY AND IMPLEMENTATION: The open-source R package is available on CRAN, https://github.com/tvpham/iq/releases and oncoproteomics.nl/iq. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Thang Viet Pham, Alex A. Henneman, Connie R. Jimenez
Bioinform.1