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Fabian Kilpert

dblp:185/8051 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 50% Computational science and engineering · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.412019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019
Computational science and engineering
workflow management
0.412019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019
Distributed systems
scalable data processing
0.112019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019
Distributed systems › workflow management
workflow orchestration
0.112019
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

workflow pipeline · 0.8command-line wrappers · 0.8
YearPublicationVenuePosition
2019 snakePipes: facilitating flexible, scalable and integrative epigenomic analysis
abstract
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.
Vivek Bhardwaj 0002, Steffen Heyne, Katarzyna Sikora, Leily Rabbani, Michael Rauer, Fabian Kilpert, Andreas S. Richter, Devon Patrick Ryan, Thomas Manke
Bioinform.6