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ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis

We present ProteoClade, a Python toolkit that performs taxa-specific peptide assignment, protein inference, and quantitation for multi-species proteomics experiments. ProteoClade scales to hundreds of millions of protein sequences, requires minimal computational resources, and is open source, multi-...

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Detalles Bibliográficos
Autores principales: Mooradian, Arshag D., van der Post, Sjoerd, Naegle, Kristen M., Held, Jason M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082058/
https://www.ncbi.nlm.nih.gov/pubmed/32150535
http://dx.doi.org/10.1371/journal.pcbi.1007741
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author Mooradian, Arshag D.
van der Post, Sjoerd
Naegle, Kristen M.
Held, Jason M.
author_facet Mooradian, Arshag D.
van der Post, Sjoerd
Naegle, Kristen M.
Held, Jason M.
author_sort Mooradian, Arshag D.
collection PubMed
description We present ProteoClade, a Python toolkit that performs taxa-specific peptide assignment, protein inference, and quantitation for multi-species proteomics experiments. ProteoClade scales to hundreds of millions of protein sequences, requires minimal computational resources, and is open source, multi-platform, and accessible to non-programmers. We demonstrate its utility for processing quantitative proteomic data derived from patient-derived xenografts and its speed and scalability enable a novel de novo proteomic workflow for complex microbiota samples.
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spelling pubmed-70820582020-03-24 ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis Mooradian, Arshag D. van der Post, Sjoerd Naegle, Kristen M. Held, Jason M. PLoS Comput Biol Research Article We present ProteoClade, a Python toolkit that performs taxa-specific peptide assignment, protein inference, and quantitation for multi-species proteomics experiments. ProteoClade scales to hundreds of millions of protein sequences, requires minimal computational resources, and is open source, multi-platform, and accessible to non-programmers. We demonstrate its utility for processing quantitative proteomic data derived from patient-derived xenografts and its speed and scalability enable a novel de novo proteomic workflow for complex microbiota samples. Public Library of Science 2020-03-09 /pmc/articles/PMC7082058/ /pubmed/32150535 http://dx.doi.org/10.1371/journal.pcbi.1007741 Text en © 2020 Mooradian et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mooradian, Arshag D.
van der Post, Sjoerd
Naegle, Kristen M.
Held, Jason M.
ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis
title ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis
title_full ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis
title_fullStr ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis
title_full_unstemmed ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis
title_short ProteoClade: A taxonomic toolkit for multi-species and metaproteomic analysis
title_sort proteoclade: a taxonomic toolkit for multi-species and metaproteomic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082058/
https://www.ncbi.nlm.nih.gov/pubmed/32150535
http://dx.doi.org/10.1371/journal.pcbi.1007741
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