Degree Type

Thesis

Date of Award

2015

Degree Name

Master of Science

Department

Computer Science

First Advisor

Leslie Miller

Abstract

Maize is one of the most important crops in the world. The maize genome is very complex and has huge genetic diversity. To understand the genome and its diversity the genes were sequenced. New approaches for sequencing like genotyping by sequencing (GBS) were developed which led a flood of diversity data. This led to a data storage and accessibility problem. The available data was stored in HDF5 format. Accessing the data through various tools was very complicated. The data was not easily accessible on the internet.

We tackle all these issues and provide a better experience for the user. In particular, we create a big data database with modern techniques including web service tools and an API to query the data and present it in a format useful to the maize community.

Copyright Owner

Abhinav Vinnakota

Language

en

File Format

application/pdf

File Size

69 pages

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