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Koustav Pal

dblp:146/2660 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-6891-1148ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › epigenomics
chromatin conformation analysis
0.412020
HiCBricks: building blocks for efficient handling of large Hi-C datasets · Bioinform. 2020
Bioinformatics and computational biology › epigenomics
hi-c data processing
0.412020
HiCBricks: building blocks for efficient handling of large Hi-C datasets · Bioinform. 2020

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

r/bioconductor framework · 0.4data visualization · 0.4
YearPublicationVenuePosition
2020 HiCBricks: building blocks for efficient handling of large Hi-C datasets
abstract
SUMMARY: Genome-wide chromosome conformation capture based on high-throughput sequencing (Hi-C) has been widely adopted to study chromatin architecture by generating datasets of ever-increasing complexity and size. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates functions for calling domain boundaries and functions for high quality data visualization. AVAILABILITY: http://bioconductor.org/packages/devel/bioc/html/HiCBricks.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Koustav Pal, Ilario Tagliaferri, Carmen Maria Livi, Francesco Ferrari
Bioinform.1