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ZENODO
Software . 2015
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
Data sources: Datacite
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ZENODO
Software . 2015
License: http://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: ZENODO
Claim

HiCUP: pipeline for mapping and processing Hi-C data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Nov 2015Publisher:Zenodo
Authors: Wingett, Steven W.; Ewels, Philip A. ; Furlan-Magaril, Mayra; Nagano, Takashi ; Schoenfelder, Stefan ; Fraser, Peter ; Andrews, Simon ;

doi: 10.5281/zenodo.33388

HiCUP: pipeline for mapping and processing Hi-C data

Abstract

HiCUP is a bioinformatics pipeline for processing Hi-C data. For full instructions on how to use HiCUP please read the markdown files (text format) in the 'Documentation' folder (we suggest you begin by reading the 'overview.md' file). Full documentation is also provided on the HiCUP homepage at: http://www.bioinformatics.babraham.ac.uk/projects/hicup

Related Organizations
Keywords

: Hi-C, CHi-C, Chromatin, Structure, Epigenetics, Genomics, Bioinformatics, Pipeline

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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