Testimonials
Researchers around the world have discovered the benefits of using
HIVbase software to quickly extract more information out of their data. Recently,
Gene Johnson received its third federal grant to continue development of the software
package. We are proud to provide you with some testimonials from your fellow researchers
regarding the easy-to-use, comprehensive tools in HIVbase that demonstrate our commitment
to provide the foremost in HIV-specific genetic analysis software.
A new software tool developed specifically for HIV researchers is
advancing the next wave of HIV therapeutics. The software is helping researchers
store, analyze, and draw conclusions from large amounts of genetic data associated
with the disease."
Reed Life Science News
"I am extremely satisfied with HIVbase and have purchased three independent
copies of the software. We produce hundreds of sequences a week in my laboratory
and have been struggling for years with unwieldy data sets. Organizing genetic data
for analysis is excruciating and an enormous time sink. HIVbase has changed how
we handle data within our laboratory; our raw genetic data processing time has been
reduced from weeks to minutes. The automatic translation system is an outstanding
invention and relieves a significant bottleneck from the analysis process so that
we can spend more time interpreting results, rather than processing data."
Maureen M. Goodenow, Ph.D.
Professor, Department of Pathology, Immunology and laboratory Medicine
University of Florida, Gainesville, FL
"I am relieved that someone is seriously considering the importance
of automated HIV data translation, formatting and retrieval for those like myself
that are interested in moving large, precise datasets quickly into molecular analysis"
Walter Fitch, Ph.D.
Professor, Ecology and Evolutionary Biology
University of California, Irvine
"The software package that Gene Johnson Inc has developed is precisely
the tool we needed to begin large-scale HIV variation studies. With our ability
to produce hundreds of sequences per month, we needed HIVbase to keep track of our
genetic data and associated annotations and will continue to use it. The evolution
of HIVbase has changed our ability to study HIV evolution through organized data
collection and rapid analysis".
Michael McGrath, M.D, Ph.D.
Professor, AIDS and Oncology Division
Principal Investigator, The AIDS and Cancer Specimen Resource
University of California Medical School, San Francisco
"I am extremely impressed with the capabilities of HIVbase to manipulate
and annotate the large viral data sets needed to carry out my research and I particularly
welcome the new ideas we have been discussing for the implementation of a variety
of algorithms into your software. HIVbase will be considered indispensable for any
HIV genetic research laboratory."
Marco Salemi, PhD
Author of The Phylogenetic Handbook
Professor, Department of Genetics and Pathology
University of Florida, Gainesville
"We have annotated thousands of sequences and find the software quite
reliable and user-friendly, and, most, importantly, the data retrieval greatly speeds
up the time necessary to move into analysis."
Túlio de Oliveira, PhD
Developer of the Genetic Data Environment (GDE)
Department of Clinical Medicine
University of Natal, UN, South Africa
"HIVbase has already had an impact on research and with the number
of universities involved in HIV research it will have an important impact on education
as well."
NSF Grant Reviewer
(Anonymous)
