GATACA wins a commercialization award from Virginia's Center of Innovative Technology (CIT); now VIPC offers the first version of GAT/ML on the GATACA website.
GAT for NGS: A Bioinformatics Tool for HBV Quasispecies – Incorporating Machine Learning
GATACA wins the Phase I SBIR award from the NIH (NIAID) to develop machine learning features into GAT/ML.
Development of a joint machine learning/de novo assembly system for resolving viral quasispecies using hepatitis B virus (HBV) as the pilot test case.
GATACA wins the Phase I SBIR award from the NIH (NIAID) to develop GAT.
Development of a tool for the whole genome de novo assembly of hepatitis B virus (HBV) populations.
GATACA wins the SBIR matching funds award from the Center for Innovative Technology (CIT).
GATACA wins the Phase II SBIR award from the NIH (NIAID) to develop HepCbase (web-based).
Integrated software application for management of Hepatitis C Virus data.
GATACA wins the Phase I SBIR award from the NIH (NIAID) to develop a HepCbase desktop.
Desktop application for management and analysis of Hepatitis C Virus data.
GATACA wins the Phase I SBIR award from the NSF to develop HCV analytics.
Desktop tools for management of Hepatitis C Virus data.
The GAT/ML modules are now being advanced to learn human immunodeficiency virus (HIV) variation
GATACA conducts initial testing of GAT/ML on HIV patient sequences, showing that it distinguishes among major and minor HIV subtypes and recombinants, from full-length HIV genomes and the challenging envelope (env) gene.
Invited presentation, 2022 HIV & Respi-DART conference
Francesco Strino, Fabio Parisi and Johanna C. Craig. A hybrid de novo viral assembly system for haplotype-resolved viral quasispecies. HIV & Respi-DART 2022.
GAT/ML pipeline analyzes HBV patient NGS for case-study presentation and publication.
GATACA, in collaboration with the LOBP (Emory) and the University of São Paulo School of Medicine, co-authors an abstract that was presented at EASL, London, and a manuscript for publication:
Suzane K. Ono, Johanna C. Craig, Leda Bassit, Rodrigo M. Abreu, Lilia Ganova-Raeva, Yury Khudyakov, Dimitri Gonzalez, Flair J. Carrilho, Raymond F. Schinazi. Multivariant surface quasispecies in a hepatitis B virus chronically infected individual with concomitant and continually positive surface antigen and anti-HBs biomarkers. 2020. EMJ European Medical Journal. 8[Suppl 2]:37-39.
GATACA releases Application Note announcing new de novo GAT for HBV.
Presented at the 2018 Annual Forum for HBV Research in Washington D.C.
GATACA co-authors publication on HCV.
Impact of IFNL4 rs12979860 and rs8099917 polymorphisms on response to Peg-Interferon-α and Ribavirin in patients with a congenital bleeding disorder and chronic hepatitis C.
Keshvari M., Alavian S.M., Behnava B., Pouryasin A., Craig J.C., Sharafi H. J Clin Lab Anal. 2017 Jul;31(4).
GATACA is invited to join the Bioinformatics Working Group of The Forum for Collaborative HIV Research.
GATACA becomes a member of interactive bioinformatics roundtable meetings, and HepCbase served as the hub for the upload and management of HIV NGS data.