VIVIDHA: Variant Analysis & Visualization Interface for Dynamic High- Throughput Application

• With the increasing size of datasets, there is a dire need to develop

scalable and cost-effective methodologies for variant calling

• VIVIDHA is based on distribution of mapped files (BAM/SAM)

into several overlapping chunks to enable fast computation without

compromising on the quality of the called variants

• Several callers have been employed on the sample dataset and a

consensus strategy is used to arrive at the 'optimal set of variants'

• VIVIDHA enables variant discovery in low coverage data and

reduce the overall 'False Discovery Rate'

• VIVIDHA has been developed using map-reduce on Hadoop

wherein data is stored in a distributed manner using HDFS