Protein Inference Algorithms is a computational methodology that distinguishes itself within bioinformatics algorithms by systematically deducing the most probable set of proteins present in a biological sample from peptide-level evidence generated by mass spectrometry, resolving ambiguities arising from shared peptides among protein isoforms or homologous sequences.
58
Publications
4.1K
Citations
257
Authors
122
Institutions
Publications per year
2017–2026
16
Parents
Publications
58
Protein-driven inference of miRNA–disease associations
Søren Mørk, Sune Pletscher-Frankild, Albert Pallejá et al. · Bioinformatics · 2013 · 205 citations · Full text
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Authors
257
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- LK
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- OS
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- MR
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1–5 of 257
Institutions
122
University of Washington
Seattle, United States
6 h-index
13 publications
890 citations
European Bioinformatics Institute
Cambridge, United Kingdom
4 h-index
7 publications
355 citations
Science for Life Laboratory
Stockholm, Sweden
4 h-index
12 publications
453 citations
Chinese Academy of Sciences
Beijing, China
4 h-index
18 publications
2.5K citations
KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
10 publications
419 citations
Wellcome Trust
London, United Kingdom
4 h-index
7 publications
355 citations
University of Liverpool
Liverpool, United Kingdom
3 h-index
13 publications
470 citations
Netherlands Metabolomics Centre
Utrecht, The Netherlands
3 h-index
4 publications
100 citations
1–8 of 122
Venues
- Journal of Proteome Research
JPR · 17 publications · 1K citations
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- PROTEOMICS
6 publications · 197 citations
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- Bioinformatics
5 publications · 528 citations
5
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- Molecular & Cellular Proteomics
MCP · 4 publications · 213 citations
4
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- Analytical Chemistry
3 publications · 674 citations
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