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Shay Maor

dblp:158/8484 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis › network visualization
metabolic network visualization
0.312017
MOST-visualization: software for producing automated textbook-style maps of genome-scale metabolic networks · Bioinform. 2017
Bioinformatics and computational biology › systems biology › constraint-based modeling
constraint-based metabolic modeling
0.212015
MOST: a software environment for constraint-based metabolic modeling and strain design · Bioinform. 2015
Bioinformatics and computational biology › systems biology
metabolic modeling
0.212015
MOST: a software environment for constraint-based metabolic modeling and strain design · Bioinform. 2015
Bioinformatics and computational biology › synthetic biology › metabolic engineering
strain design
0.212015
MOST: a software environment for constraint-based metabolic modeling and strain design · Bioinform. 2015

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

genetic design through branch and bound · 0.2flux balance analysis · 0.2
YearPublicationVenuePosition
2017 MOST-visualization: software for producing automated textbook-style maps of genome-scale metabolic networks
abstract
SUMMARY: Visualization of metabolites, reactions and pathways in genome-scale metabolic networks (GEMs) can assist in understanding cellular metabolism. Three attributes are desirable in software used for visualizing GEMs: (i) automation, since GEMs can be quite large; (ii) production of understandable maps that provide ease in identification of pathways, reactions and metabolites; and (iii) visualization of the entire network to show how pathways are interconnected. No software currently exists for visualizing GEMs that satisfies all three characteristics, but MOST-Visualization, an extension of the software package MOST (Metabolic Optimization and Simulation Tool), satisfies (i), and by using a pre-drawn overview map of metabolism based on the Roche map satisfies (ii) and comes close to satisfying (iii). AVAILABILITY AND IMPLEMENTATION: MOST is distributed for free on the GNU General Public License. The software and full documentation are available at http://most.ccib.rutgers.edu/. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
James J. Kelley, Shay Maor, Min Kyung Kim 0006, Anatoliy Lane, Desmond S. Lun
Bioinform.2
2015 MOST: a software environment for constraint-based metabolic modeling and strain design
abstract
SUMMARY: MOST (metabolic optimization and simulation tool) is a software package that implements GDBB (genetic design through branch and bound) in an intuitive user-friendly interface with excel-like editing functionality, as well as implementing FBA (flux balance analysis), and supporting systems biology markup language and comma-separated values files. GDBB is currently the fastest algorithm for finding gene knockouts predicted by FBA to increase production of desired products, but GDBB has only been available on a command line interface, which is difficult to use for those without programming knowledge, until the release of MOST. AVAILABILITY AND IMPLEMENTATION: MOST is distributed for free on the GNU General Public License. The software and full documentation are available at http://most.ccib.rutgers.edu/. CONTACT: [email protected].
James J. Kelley, Anatoliy Lane, Brahmaji Mutthoju, Shay Maor, Dennis Egen, Desmond S. Lun
Bioinform.5