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Marva Tariq

dblp:258/2425 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA secondary structure design
0.412020
RAG-Web: RNA structure prediction/design using RNA-As-Graphs · Bioinform. 2020
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics › RNA structure prediction
RNA secondary structure prediction
0.412020
RAG-Web: RNA structure prediction/design using RNA-As-Graphs · Bioinform. 2020
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA sequence design
0.412020
RAG-Web: RNA structure prediction/design using RNA-As-Graphs · Bioinform. 2020
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure prediction
0.412020
RAG-Web: RNA structure prediction/design using RNA-As-Graphs · Bioinform. 2020

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

graph theory · 0.4coarse-grained tree graph modeling · 0.4
YearPublicationVenuePosition
2020 RAG-Web: RNA structure prediction/design using RNA-As-Graphs
abstract
SUMMARY: We launch a webserver for RNA structure prediction and design corresponding to tools developed using our RNA-As-Graphs (RAG) approach. RAG uses coarse-grained tree graphs to represent RNA secondary structure, allowing the application of graph theory to analyze and advance RNA structure discovery. Our webserver consists of three modules: (a) RAG Sampler: samples tree graph topologies from an RNA secondary structure to predict corresponding tertiary topologies, (b) RAG Builder: builds three-dimensional atomic models from candidate graphs generated by RAG Sampler, and (c) RAG Designer: designs sequences that fold onto novel RNA motifs (described by tree graph topologies). Results analyses are performed for further assessment/selection. The Results page provides links to download results and indicates possible errors encountered. RAG-Web offers a user-friendly interface to utilize our RAG software suite to predict and design RNA structures and sequences. AVAILABILITY AND IMPLEMENTATION: The webserver is freely available online at: http://www.biomath.nyu.edu/ragtop/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Grace Meng, Marva Tariq, Swati Jain, Shereef Elmetwaly, Tamar Schlick
Bioinform.2