Abstract | ||
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The 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. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1093/bioinformatics/btz436 | BIOINFORMATICS |
Field | DocType | Volume |
Data science,Data mining,Computer science,Epigenomics,Scalability | Journal | 35 |
Issue | ISSN | Citations |
22 | 1367-4803 | 1 |
PageRank | References | Authors |
0.36 | 0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vivek Bhardwaj | 1 | 1 | 1.03 |
Steffen Heyne | 2 | 76 | 6.16 |
Katarzyna Sikora | 3 | 1 | 0.36 |
Leily Rabbani | 4 | 1 | 0.70 |
Michael Rauer | 5 | 1 | 0.36 |
Fabian Kilpert | 6 | 1 | 0.36 |
Andreas S Richter | 7 | 120 | 7.73 |
Devon Patrick Ryan | 8 | 7 | 1.42 |
Thomas Manke | 9 | 91 | 7.53 |