Literature DB >> 29774740

SearchGUI: A Highly Adaptable Common Interface for Proteomics Search and de Novo Engines.

Harald Barsnes, Marc Vaudel1.   

Abstract

Mass-spectrometry-based proteomics has become the standard approach for identifying and quantifying proteins. A vital step consists of analyzing experimentally generated mass spectra to identify the underlying peptide sequences for later mapping to the originating proteins. We here present the latest developments in SearchGUI, a common open-source interface for the most frequently used freely available proteomics search and de novo engines that has evolved into a central component in numerous bioinformatics workflows.

Keywords:  bioinformatics; de novo algorithms; protein identification; search engines

Mesh:

Substances:

Year:  2018        PMID: 29774740     DOI: 10.1021/acs.jproteome.8b00175

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  46 in total

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Journal:  Mol Cell Proteomics       Date:  2019-06-24       Impact factor: 5.911

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4.  Extending Comet for Global Amino Acid Variant and Post-Translational Modification Analysis Using the PSI Extended FASTA Format.

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Authors:  Ross Hartman; Lieuwe Biewenga; Jacob Munson-McGee; Mohammed Refai; Eric S Boyd; Brian Bothner; C Martin Lawrence; Mark Young
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Journal:  Methods Mol Biol       Date:  2021

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Authors:  Stefan Terlecki-Zaniewicz; Theresa Humer; Thomas Eder; Johannes Schmoellerl; Elizabeth Heyes; Gabriele Manhart; Natalie Kuchynka; Katja Parapatics; Fabio G Liberante; André C Müller; Eleni M Tomazou; Florian Grebien
Journal:  Nat Struct Mol Biol       Date:  2021-01-21       Impact factor: 15.369

9.  Identification and Characterization of Alternatively Spliced Transcript Isoforms of IRX4 in Prostate Cancer.

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Journal:  Genes (Basel)       Date:  2021-04-21       Impact factor: 4.096

10.  Proteome Profiling of PMJ2-R and Primary Peritoneal Macrophages.

Authors:  Alexander L Rusanov; Peter M Kozhin; Olga V Tikhonova; Victor G Zgoda; Dmitry S Loginov; Adéla Chlastáková; Martin Selinger; Jan Sterba; Libor Grubhoffer; Nataliya G Luzgina
Journal:  Int J Mol Sci       Date:  2021-06-12       Impact factor: 5.923

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