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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-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7082058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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