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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,...

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Autores principales: Bhardwaj, Vivek, Heyne, Steffen, Sikora, Katarzyna, Rabbani, Leily, Rauer, Michael, Kilpert, Fabian, Richter, Andreas S, Ryan, Devon P, Manke, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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