Demo Data from SIGIR 2026 / reviewers in the wild / expert
Koustav Pal
dblp:146/2660
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › epigenomics
chromatin conformation analysis |
0.4 | 1 | 2020 | HiCBricks: building blocks for efficient handling of large Hi-C datasets · Bioinform. 2020 |
Bioinformatics and computational biology › epigenomics
hi-c data processing |
0.4 | 1 | 2020 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | HiCBricks: building blocks for efficient handling of large Hi-C datasetsabstractSUMMARY: 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 |