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snakePipes: facilitating flexible, scalable and integrative epigenomic analysis
SUMMARY: Due to the rapidly increasing scale and diversity of epigenomic data, modular and scalable analysis workflows are of wide interest. Here we present snakePipes, a workflow package for processing and downstream analysis of data from common epigenomic assays: ChIP-seq, RNA-seq, Bisulfite-seq,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853707/ https://www.ncbi.nlm.nih.gov/pubmed/31134269 http://dx.doi.org/10.1093/bioinformatics/btz436 |
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author | Bhardwaj, Vivek Heyne, Steffen Sikora, Katarzyna Rabbani, Leily Rauer, Michael Kilpert, Fabian Richter, Andreas S Ryan, Devon P Manke, Thomas |
author_facet | Bhardwaj, Vivek Heyne, Steffen Sikora, Katarzyna Rabbani, Leily Rauer, Michael Kilpert, Fabian Richter, Andreas S Ryan, Devon P Manke, Thomas |
author_sort | Bhardwaj, Vivek |
collection | PubMed |
description | SUMMARY: Due to the rapidly increasing scale and diversity of epigenomic data, modular and scalable analysis workflows are of wide interest. Here we present snakePipes, a workflow package for processing and downstream analysis of data from common epigenomic assays: ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C and single-cell RNA-seq. snakePipes enables users to assemble variants of each workflow and to easily install and upgrade the underlying tools, via its simple command-line wrappers and yaml files. AVAILABILITY AND IMPLEMENTATION: snakePipes can be installed via conda: `conda install -c mpi-ie -c bioconda -c conda-forge snakePipes’. Source code (https://github.com/maxplanck-ie/snakepipes) and documentation (https://snakepipes.readthedocs.io/en/latest/) are available online. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6853707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68537072019-11-19 snakePipes: facilitating flexible, scalable and integrative epigenomic analysis Bhardwaj, Vivek Heyne, Steffen Sikora, Katarzyna Rabbani, Leily Rauer, Michael Kilpert, Fabian Richter, Andreas S Ryan, Devon P Manke, Thomas Bioinformatics Applications Notes SUMMARY: Due to the rapidly increasing scale and diversity of epigenomic data, modular and scalable analysis workflows are of wide interest. Here we present snakePipes, a workflow package for processing and downstream analysis of data from common epigenomic assays: ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C and single-cell RNA-seq. snakePipes enables users to assemble variants of each workflow and to easily install and upgrade the underlying tools, via its simple command-line wrappers and yaml files. AVAILABILITY AND IMPLEMENTATION: snakePipes can be installed via conda: `conda install -c mpi-ie -c bioconda -c conda-forge snakePipes’. Source code (https://github.com/maxplanck-ie/snakepipes) and documentation (https://snakepipes.readthedocs.io/en/latest/) are available online. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-11-15 2019-05-27 /pmc/articles/PMC6853707/ /pubmed/31134269 http://dx.doi.org/10.1093/bioinformatics/btz436 Text en © The Author(s) 2019. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Bhardwaj, Vivek Heyne, Steffen Sikora, Katarzyna Rabbani, Leily Rauer, Michael Kilpert, Fabian Richter, Andreas S Ryan, Devon P Manke, Thomas snakePipes: facilitating flexible, scalable and integrative epigenomic analysis |
title | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis |
title_full | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis |
title_fullStr | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis |
title_full_unstemmed | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis |
title_short | snakePipes: facilitating flexible, scalable and integrative epigenomic analysis |
title_sort | snakepipes: facilitating flexible, scalable and integrative epigenomic analysis |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853707/ https://www.ncbi.nlm.nih.gov/pubmed/31134269 http://dx.doi.org/10.1093/bioinformatics/btz436 |
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