Next Generation Genomic Data Analytics (B636)

Credit Hours: 3
Day/Time: Thursdays, 6–8:40 pm
Location: WK 321, Walker Plaza Building, 719 Indiana Avenue, Indianapolis, IN 46202 [map]
May have some guest lectures, not necessarily in the same room and time
First Class: August 27th, 2015
Instructor: Sarath Chandra Janga, Ph.D., Assistant Professor, Bioinformatics
Office Hours: Tuesdays and Thursdays, 11 am–12 pm or by Appointment
Office: WK 309, Walker Plaza Building, 719 Indiana Avenue, Indianapolis, IN 46202 [map]
Phone: (317) 278-4147 (Office)
Prerequisites: I573 or basic knowledge of programming, R, and Unix system management


This course covers advanced concepts of genomic sequencing datasets from a number of sequencing platforms, including how the data motivates computational needs and tasks for analysis. The student learns how to devise approaches for analyzing massive clinical and biomedical sequencing datasets and for developing sound hypotheses and predictions from them.

Posted in Fall, Graduate, Teaching


Luddy School of Informatics, Computing, and Engineering
Informatics & Communications Technology Complex (ICTC), IT479
535 W Michigan St,
Indiana 46202, USA
phone: +1-317-278-4147
fax: +1-317-278-9201


Lab member receives Luddy Scholarships

Sahiti Somalraju, an undergraduate in Biomedical Informatics, received the “Make... Read more →

Lab student among Elite 50 of IUPUI

Janga lab graduate PhD student in Bioinformatics, Swapna Vidhur Daulatabad... Read more →

Grant for research on diabetic retinopathy

Janga lab received $25K pilot AI grant from IUPUI AI... Read more →

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