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Bhavjinder K. Dhillon

dblp:141/5281 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-9696-1556ORCID · reported

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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis › network integration
biological network integration
0.512021
PaIntDB: network-based omics integration and visualization using protein-protein interactions in Pseudomonas aeruginosa · Bioinform. 2021
Bioinformatics and computational biology › multi-omics data integration
omics data integration
0.512021
PaIntDB: network-based omics integration and visualization using protein-protein interactions in Pseudomonas aeruginosa · Bioinform. 2021
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction network analysis
0.512021
PaIntDB: network-based omics integration and visualization using protein-protein interactions in Pseudomonas aeruginosa · Bioinform. 2021

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

network visualization · 0.5computational interaction prediction · 0.5
YearPublicationVenuePosition
2021 PaIntDB: network-based omics integration and visualization using protein-protein interactions in Pseudomonas aeruginosa
abstract
SUMMARY: The Pseudomonas aeruginosa Interaction Database, PaIntDB, is an intuitive web-based tool for network-based systems biology analyses using protein-protein interactions (PPI) in this medically important pathogen. It enables the integration and visualization of omics analyses including RNA-Seq and Tn-Seq. High-throughput datasets can be mapped onto PPI networks, which can be explored visually and filtered to uncover novel putative molecular pathways related to the conditions of study. PaIntDB contains the most comprehensive P.aeruginosa interactome to date, collected from a variety of resources, including interactions predicted computationally to further expand analysis capabilities. The web server implementation makes it easily extendable to other bacterial species. AVAILABILITY AND IMPLEMENTATION: PaIntDB is freely available at https://www.paintdb.ca, the source code and database file are available at https://github.com/yavyx/PaIntDB. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Javier J. Castillo-Arnemann, Olga Solodova, Bhavjinder K. Dhillon, Robert E. W. Hancock
Bioinform.3