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HiC-Pro: an optimized and flexible pipeline for Hi-C data processing

Overview of attention for article published in Genome Biology, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
18 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
1732 Dimensions

Readers on

mendeley
857 Mendeley
citeulike
2 CiteULike
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Title
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0831-x
Pubmed ID
Authors

Nicolas Servant, Nelle Varoquaux, Bryan R. Lajoie, Eric Viara, Chong-Jian Chen, Jean-Philippe Vert, Edith Heard, Job Dekker, Emmanuel Barillot

Abstract

HiC-Pro is an optimized and flexible pipeline for processing Hi-C data from raw reads to normalized contact maps. HiC-Pro maps reads, detects valid ligation products, performs quality controls and generates intra- and inter-chromosomal contact maps. It includes a fast implementation of the iterative correction method and is based on a memory-efficient data format for Hi-C contact maps. In addition, HiC-Pro can use phased genotype data to build allele-specific contact maps. We applied HiC-Pro to different Hi-C datasets, demonstrating its ability to easily process large data in a reasonable time. Source code and documentation are available at http://github.com/nservant/HiC-Pro .

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 857 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Japan 2 <1%
Norway 2 <1%
United Kingdom 2 <1%
Sweden 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Denmark 1 <1%
Mexico 1 <1%
Other 2 <1%
Unknown 842 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 212 25%
Researcher 129 15%
Student > Master 71 8%
Student > Bachelor 71 8%
Student > Doctoral Student 45 5%
Other 117 14%
Unknown 212 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 291 34%
Agricultural and Biological Sciences 206 24%
Computer Science 35 4%
Medicine and Dentistry 20 2%
Neuroscience 18 2%
Other 58 7%
Unknown 229 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 December 2023.
All research outputs
#1,913,784
of 25,706,302 outputs
Outputs from Genome Biology
#1,585
of 4,504 outputs
Outputs of similar age
#30,960
of 397,368 outputs
Outputs of similar age from Genome Biology
#39
of 75 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,368 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.