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Deeksha Bhartiya

dblp:146/2737 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1

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 › transcriptomics › non-coding RNA analysis
lncRNA function analysis
0.212015
Computational approaches towards understanding human long non-coding RNA biology · Bioinform. 2015
Bioinformatics and computational biology › RNA biology
long non-coding RNA
0.212015
Computational approaches towards understanding human long non-coding RNA biology · Bioinform. 2015
Bioinformatics and computational biology › RNA biology › RNA analysis
RNA bioinformatics
0.212015
Computational approaches towards understanding human long non-coding RNA biology · Bioinform. 2015

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

sequence analysis · 0.2computational annotation · 0.2
YearPublicationVenuePosition
2015 Computational approaches towards understanding human long non-coding RNA biology
abstract
Long non-coding RNAs (lncRNAs) form the largest class of non-protein coding genes in the human genome. While a small subset of well-characterized lncRNAs has demonstrated their significant role in diverse biological functions like chromatin modifications, post-transcriptional regulation, imprinting etc., the functional significance of a vast majority of them still remains an enigma. Increasing evidence of the implications of lncRNAs in various diseases including cancer and major developmental processes has further enhanced the need to gain mechanistic insights into the lncRNA functions. Here, we present a comprehensive review of the various computational approaches and tools available for the identification and annotation of long non-coding RNAs. We also discuss a conceptual roadmap to systematically explore the functional properties of the lncRNAs using computational approaches.
Saakshi Jalali, Shruti Kapoor, Ambily Sivadas, Deeksha Bhartiya, Vinod Scaria
Bioinform.4