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portfolio
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publications
MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive
Published in Bioinformatics, 2017
The NCBI’s Sequence Read Archive (SRA) promises great biological insight if one could analyze the data in the aggregate; however, the data remain largely underutilized, in part, due to the poor structure of the metadata associated with each sample. We present MetaSRA, a database of normalized SRA human sample-specific metadata following a schema inspired by the metadata organization of the ENCODE project.
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talks
MetaSRA - Normalized Sample-Specific Metadata for the Sequence Read Archive
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MetaSRA: normalized metadata for the Sequence Read Archive. The talk can be watched here.
MetaSRA - Normalized Sample-Specific Metadata for the Sequence Read Archive
Published:
MetaSRA: normalized metadata for the Sequence Read Archive
teaching
CS302 - Introduction to Programming
Course, University of Wisconsin - Madison, Department of Computer Sciences, 2013
A Java-based introduction to computer programming class taught in the Fall 2013 and Spring 2014 semesters.