Core L - Scientific inquiry and public health are being fundamentally changed by immense volumes of complex data, and modern computational techniques that are able to mine these data for pattern discovery and inference. The field of HIV research is no exception, and many innovative discoveries have been facilitated or validated by sophisticated modeling and data analyses. Traditional biostatistics services are neither designed to handle gigantic volumes of complex data, nor are these new data types (e.g., next generation sequencing data) a natural fit for current computational biology and informatics applications. The purpose of the Bioinformatics and Information Technologies (BIT) is to handle CFAR investigator demand for storing, managing, analyzing, interpreting, and disseminating large and complex data sets, especially those containing viral and host molecular sequences. Based on ongoing and anticipated future needs of CFAR members, in the next five years, the BIT Core is structured as three interlinked units that will: (1) provide bioinformatics support for CFAR researchers by leveraging world-class expertise in bioinformatics and computational biology available at UCSD to offer a comprehensive spectrum of services and consultations related to computational analyses of data collected by CFAR investigators;(2) supply content management systems, web services for biomedical data, and computational infrastructure;and (3) provide training in bioinformatics and information technology. The BIT Core is uniquely positioned to provide these innovative services to CFAR members by drawing upon cutting edge in-house methodological research, modern sequencing and biomedical technologies offered by other CFAR Cores (e.g. GS, PEP, Flow Cytometry Cores), and professional software development and support expertise of its programming team. The CFAR External Advisory Committee reviewed our Center in February, 2012 and noted the following about the BIT Core in their final report:

Public Health Relevance

The mission of the Bioinformatics and Information Technologies (BIT) Core is to provide accessible, affordable, reliable, flexible, and timely services and facilities for biomedical data management, computational analysis and interpretation of complex biomedical (especially sequence) data, and to train CFAR members in relevant computational and informatics techniques.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Center Core Grants (P30)
Project #
2P30AI036214-19A1
Application #
8520782
Study Section
Special Emphasis Panel (ZAI1-UKS-A (J1))
Project Start
1994-04-01
Project End
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
19
Fiscal Year
2013
Total Cost
$26,889
Indirect Cost
$3,729
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
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Hepler, N Lance; Scheffler, Konrad; Weaver, Steven et al. (2014) IDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platform. PLoS Comput Biol 10:e1003842
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Murrell, Ben; Murrell, Daniel; Murrell, Hugh (2014) R2-equitability is satisfiable. Proc Natl Acad Sci U S A 111:E2160
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Wang, Cathy X; Sather, Blythe D; Wang, Xuefeng et al. (2014) Rapamycin relieves lentiviral vector transduction resistance in human and mouse hematopoietic stem cells. Blood 124:913-23
Jeong, Su Jin; Kim, Min Hyung; Song, Je Eun et al. (2014) Short communication: prospective comparison of qualitative versus quantitative polymerase chain reaction for monitoring virologic treatment failure in HIV-infected patients. AIDS Res Hum Retroviruses 30:827-9
Wertheim, Joel O; Smith, Martin D; Smith, Davey M et al. (2014) Evolutionary origins of human herpes simplex viruses 1 and 2. Mol Biol Evol 31:2356-64

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