GTRAC statistics

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Citations per year

Number of citations per year for the bioinformatics software tool GTRAC

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GTRAC specifications


Unique identifier OMICS_12699
Alternative name GenoType Random Access Compressor
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Version 0.1.4
Stability Stable
Maintained Yes


No version available



  • person_outline Kedar Tatwawadi

Publication for GenoType Random Access Compressor

GTRAC citations


Defective Phagocytic Properties of HIV Infected Macrophages: How Might They Be Implicated in the Development of Invasive Salmonella Typhimurium?

Front Immunol
PMCID: 5876300
PMID: 29628924
DOI: 10.3389/fimmu.2018.00531

[…] BTP4) that are all defective in ST313. The two remaining, BTP1 and BTP5, are novel prophages that are found only in the ST313 genome. BTP1 contains three virulence-related genes: st313-td, gtrCc, and gtrAc (). st313-td was reported to play a role in survival within murine macrophages and in virulence in a mouse model of bacterial infection (). The gtrAC operon encodes an O-glycosyltransferase that […]


Phylogeography of Partamona rustica (Hymenoptera, Apidae), an Endemic Stingless Bee from the Neotropical Dry Forest Diagonal

PLoS One
PMCID: 5056711
PMID: 27723778
DOI: 10.1371/journal.pone.0164441
call_split See protocol

[…] using the likelihood plots for each run using Tracer 1.6 ( and we accepted the results if ESS values were >200. On the other hand, the ML inference was run under the GTRAC model; invariable sites and gamma distribution were estimated independently for each partition during the run. Node supports of the maximum likelihood analysis were estimated with 1,000 bootstra […]

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GTRAC institution(s)
Department of Electrical Engineering, Stanford University, Stanford, CA, USA
GTRAC funding source(s)
This work was partially supported by a fellowship from the Basque Government, a Stanford Graduate Fellowships Program in Science and Engineering, the Stanford Data Science Initiative (SDSI), and an NIH grant with number 1 U01 CA198943-01.

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