Availability of genomic data and informatics tools has allowed the researchers of both scientific and computing science to adapt to a collaborative computing paradigm. Such an unprecedented scale of data-science collaboration has led to a significant growth in implementing highly efficient and optimized algorithms to solve healthcare problems ranging from population health to personalized medicine. This online instructional series offers all the raw material required to conduct genomic data science representing a broad range of scientific frameworks like Genome-Wide Association Studies (GWAS), Next-Generation Sequencing (NGS), Germline and Somatic data analytics.
- Computing & Informatics
- Next Generation Sequencing Analysis
- GWAS Methods & Analysis
- Somatic Analysis
Creators and Instructors
Contact Information:
Scientific:
Hemant K Tiwari, PhD
Professor
Department of Biostatistics
1665 University Blvd, 420C
University of Alabama at Birmingham
Birmingham, AL 35294-0022
Phone: (205) 934-4907
Email: htiwari@uab.edu
Logistics and Technical:
Vinodh Srinivasasainagendra
Senior Systems Manager
Department of Biostatistics
1665 University Blvd, RPHB 414A
University of Alabama at Birmingham
Birmingham, AL 35294-0022
Phone: (205) 975-9275
Email: Vinodh@uab.edu
External Funding:
- NIGMS – online video portal & resources
- NHGRI – lecture series resources
- Hudson-Alpha Institute for Biotechnology
UAB Internal Funding:
- Center for Clinical and Translational Science
- Dean for Research, School of Medicine
- Department of Biostatistics, School of Public Health
- Heflin Center for Genomic Science
- Office of the Provost
- Nutrition Obesity Research Center
- School of Medicine
- Vice President for Reseach and Economic Development
