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Malavika Puri

dblp:311/3002 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—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
comparative genomics
0.612022
DIMPL: a bioinformatics pipeline for the discovery of structured noncoding RNA motifs in bacteria · Bioinform. 2022
Bioinformatics and computational biology › genome annotation
intergenic region analysis
0.612022
DIMPL: a bioinformatics pipeline for the discovery of structured noncoding RNA motifs in bacteria · Bioinform. 2022
Bioinformatics and computational biology › transcriptomics › non-coding RNA analysis
non-coding RNA discovery
0.612022
DIMPL: a bioinformatics pipeline for the discovery of structured noncoding RNA motifs in bacteria · Bioinform. 2022

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

motif search pipeline · 0.6docker · 0.6
YearPublicationVenuePosition
2022 DIMPL: a bioinformatics pipeline for the discovery of structured noncoding RNA motifs in bacteria
abstract
SUMMARY: Recent efforts to identify novel bacterial structured noncoding RNA (ncRNA) motifs through searching long, GC-rich intergenic regions (IGRs) have revealed several new classes, including the recently validated HMP-PP riboswitch. The DIMPL (Discovery of Intergenic Motifs PipeLine) discovery pipeline described herein enables rapid extraction and selection of bacterial IGRs that are enriched for structured ncRNAs. Moreover, DIMPL automates the subsequent computational steps necessary for their functional identification. AVAILABILITY AND IMPLEMENTATION: The DIMPL pipeline is freely available as a Docker image with an accompanying set of Jupyter notebooks. Full instructions for download and use are available at https://github.com/breakerlab/dimpl. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Kenneth I. Brewer, Glenn J. Gaffield, Malavika Puri, Ronald R. Breaker
Bioinform.3