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AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge
SUMMARY: Integrating experimental information across proteomic datasets with the wealth of publicly available sequence annotations is a crucial part in many proteomic studies that currently lacks an automated analysis platform. Here, we present AlphaMap, a Python package that facilitates the visual...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756201/ https://www.ncbi.nlm.nih.gov/pubmed/34586352 http://dx.doi.org/10.1093/bioinformatics/btab674 |
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author | Voytik, Eugenia Bludau, Isabell Willems, Sander Hansen, Fynn M Brunner, Andreas-David Strauss, Maximilian T Mann, Matthias |
author_facet | Voytik, Eugenia Bludau, Isabell Willems, Sander Hansen, Fynn M Brunner, Andreas-David Strauss, Maximilian T Mann, Matthias |
author_sort | Voytik, Eugenia |
collection | PubMed |
description | SUMMARY: Integrating experimental information across proteomic datasets with the wealth of publicly available sequence annotations is a crucial part in many proteomic studies that currently lacks an automated analysis platform. Here, we present AlphaMap, a Python package that facilitates the visual exploration of peptide-level proteomics data. Identified peptides and post-translational modifications in proteomic datasets are mapped to their corresponding protein sequence and visualized together with prior knowledge from UniProt and with expected proteolytic cleavage sites. The functionality of AlphaMap can be accessed via an intuitive graphical user interface or—more flexibly—as a Python package that allows its integration into common analysis workflows for data visualization. AlphaMap produces publication-quality illustrations and can easily be customized to address a given research question. AVAILABILITY AND IMPLEMENTATION: AlphaMap is implemented in Python and released under an Apache license. The source code and one-click installers are freely available at https://github.com/MannLabs/alphamap. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-8756201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87562012022-01-13 AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge Voytik, Eugenia Bludau, Isabell Willems, Sander Hansen, Fynn M Brunner, Andreas-David Strauss, Maximilian T Mann, Matthias Bioinformatics Applications Notes SUMMARY: Integrating experimental information across proteomic datasets with the wealth of publicly available sequence annotations is a crucial part in many proteomic studies that currently lacks an automated analysis platform. Here, we present AlphaMap, a Python package that facilitates the visual exploration of peptide-level proteomics data. Identified peptides and post-translational modifications in proteomic datasets are mapped to their corresponding protein sequence and visualized together with prior knowledge from UniProt and with expected proteolytic cleavage sites. The functionality of AlphaMap can be accessed via an intuitive graphical user interface or—more flexibly—as a Python package that allows its integration into common analysis workflows for data visualization. AlphaMap produces publication-quality illustrations and can easily be customized to address a given research question. AVAILABILITY AND IMPLEMENTATION: AlphaMap is implemented in Python and released under an Apache license. The source code and one-click installers are freely available at https://github.com/MannLabs/alphamap. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-09-29 /pmc/articles/PMC8756201/ /pubmed/34586352 http://dx.doi.org/10.1093/bioinformatics/btab674 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Voytik, Eugenia Bludau, Isabell Willems, Sander Hansen, Fynn M Brunner, Andreas-David Strauss, Maximilian T Mann, Matthias AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge |
title | AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge |
title_full | AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge |
title_fullStr | AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge |
title_full_unstemmed | AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge |
title_short | AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge |
title_sort | alphamap: an open-source python package for the visual annotation of proteomics data with sequence-specific knowledge |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756201/ https://www.ncbi.nlm.nih.gov/pubmed/34586352 http://dx.doi.org/10.1093/bioinformatics/btab674 |
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