ATaRVa: Analysis of Tandem Repeat Variation from Long Read Sequencing data

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ATaRVa: Analysis of Tandem Repeat Variation from Long Read Sequencing data

Authors

Sivakumar, A. K.; Sudarsanam, S.; Sharma, A.; Avvaru, A. K.; Sowpati, D. T.

Abstract

Long-read sequencing propelled comprehensive analysis of tandem repeats (TRs) in genomes. Current long-read TR genotypers are either inaccurate, platform-specific, or computationally inefficient. Here we present ATaRVa, a sequencing technology-agnostic genotyper that outperforms existing tools while running an order of magnitude faster. ATaRVa also supports short-read data, multi-threading, consensus sequence derivation, and motif decomposition, making it an invaluable tool for population scale TR analyses.

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