Ph.D. Proposal Oral Exam - Nagakishore Jammula

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Event Details
  • Date/Time:
    • Thursday August 17, 2017 - Friday August 18, 2017
      3:00 pm - 4:59 pm
  • Location: KACB 1315
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: PARALLEL ALGORITHMS FOR ENABLING FAST AND SCALABLE ANALYSIS OF HIGH-THROUGHPUT SEQUENCING DATASETS

Full Summary: No summary paragraph submitted.

Title:  PARALLEL ALGORITHMS FOR ENABLING FAST AND SCALABLE ANALYSIS OF
HIGH-THROUGHPUT SEQUENCING DATASETS

Committee:

Dr.. Aluru, Advisor

Dr. Qureshi, Chair

Dr. Vuduc

Abstract:

The objective of the proposed research is to develop parallel algorithms for enabling fast and scalable analysis of large-scale high-throughput sequencing datasets. Genome of an organism consists of one or more long DNA sequences called chromosomes, each a sequence of bases. Depending on the organism, the length of the genome can vary from several thousand bases to several billion bases. Genome sequencing, which involves deciphering the sequence of bases of the genome, is an important tool in genomics research. Sequencing instruments in vogue today can only read short DNA sequences. However, these instruments can read in excess of a billion such sequences at a time, and are used to sequence a large number of randomly generated short genomic fragments from the genome. These fragments are a few hundred bases long and are commonly referred to as “reads”. The proposed research specifically tackles two problems associated with high-throughput sequencing datasets: (1) Parallel read error correction for large-scale genomic datasets and (2) Partitioning of large-scale high-throughput sequencing datasets.
 

Additional Information

In Campus Calendar
No
Groups

ECE Ph.D. Proposal Oral Exams

Invited Audience
Public
Categories
Other/Miscellaneous
Keywords
Phd proposal, graduate students
Status
  • Created By: Jacqueline Trappier
  • Workflow Status: Published
  • Created On: Aug 8, 2017 - 6:53am
  • Last Updated: Aug 8, 2017 - 6:53am