Demo Data from VLDB 2026 / reviewers in the wild / expert
Shruti Kapoor
dblp:126/3609
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0003-4216-8488ORCID · reported
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › transcriptomics › non-coding RNA analysis
lncRNA function analysis |
0.2 | 1 | 2015 | Computational approaches towards understanding human long non-coding RNA biology · Bioinform. 2015 |
Bioinformatics and computational biology › RNA biology
long non-coding RNA |
0.2 | 1 | 2015 | Computational approaches towards understanding human long non-coding RNA biology · Bioinform. 2015 |
Bioinformatics and computational biology › RNA biology › RNA analysis
RNA bioinformatics |
0.2 | 1 | 2015 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Computational approaches towards understanding human long non-coding RNA biologyabstractLong 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. | 2 |