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Merve Kilicarslan

dblp:301/5014 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—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 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway visualization
0.512021
Newt: a comprehensive web-based tool for viewing, constructing and analyzing biological maps · Bioinform. 2021
Bioinformatics and computational biology › systems biology › biological model representation
SBGN
0.112021
Newt: a comprehensive web-based tool for viewing, constructing and analyzing biological maps · Bioinform. 2021
Bioinformatics and computational biology › systems biology › model exchange format
systems biology standards
0.112021
Newt: a comprehensive web-based tool for viewing, constructing and analyzing biological maps · Bioinform. 2021

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

web visualization · 0.5
YearPublicationVenuePosition
2021 Newt: a comprehensive web-based tool for viewing, constructing and analyzing biological maps
abstract
MOTIVATION: Visualization of cellular processes and pathways is a key recurring requirement for effective biological data analysis. There is a considerable need for sophisticated web-based pathway viewers and editors operating with widely accepted standard formats, using the latest visualization techniques and libraries. RESULTS: We developed a web-based tool named Newt for viewing, constructing and analyzing biological maps in standard formats such as SBGN, SBML and SIF. AVAILABILITY AND IMPLEMENTATION: Newt's source code is publicly available on GitHub and freely distributed under the GNU LGPL. Ample documentation on Newt can be found on http://newteditor.org and on YouTube.
Hasan Balci, Metin Can Siper, Nasim Saleh, Ilkin Safarli, Ludovic Roy, Merve Kilicarslan, Rumeysa Ozaydin, Alexander Mazein, Charles Auffray, Ozgun Babur, Emek Demir, Ugur Dogrusoz
Bioinform.6