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Ariaki Dandawate

dblp:370/5140 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.712023
Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data · Bioinform. 2023
Bioinformatics and computational biology › gene regulation
cis-regulatory element analysis
0.212023
Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data · Bioinform. 2023
Bioinformatics and computational biology › gene regulation › transcription factor binding
transcription factor binding analysis
0.212023
Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data · Bioinform. 2023

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

interactive visualization · 0.7
YearPublicationVenuePosition
2023 Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data
abstract
SUMMARY: The regulation of genes by cis-regulatory elements (CREs) is complex and differs between cell types. Visual analysis of large collections of chromatin profiles across diverse cell types, integrated with computational methods, can reveal meaningful biological insights. We developed Cistrome Explorer, a web-based interactive visual analytics tool for exploring thousands of chromatin profiles in diverse cell types. Integrated with the Cistrome Data Browser database which contains thousands of ChIP-seq, DNase-seq and ATAC-seq samples, Cistrome Explorer enables the discovery of patterns of CREs across cell types and the identification of transcription factor binding underlying these patterns. AVAILABILITY AND IMPLEMENTATION: Cistrome Explorer and its source code are available at http://cisvis.gehlenborglab.org/ and released under the MIT License. Documentation can be accessed via http://cisvis.gehlenborglab.org/docs/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sehi L'Yi, Mark S. Keller, Ariaki Dandawate, Len Taing, Myles Brown, Clifford A. Meyer, Nils Gehlenborg
Bioinform.3