Benchmarking of computational error-correction methods for next-generation sequencing data

Volume: 21, Issue: 1
Published: Mar 17, 2020
Abstract
Background Recent advancements in next-generation sequencing have rapidly improved our ability to study genomic material at an unprecedented scale. Despite substantial improvements in sequencing technologies, errors present in the data still risk confounding downstream analysis and limiting the applicability of sequencing technologies in clinical tools. Computational error correction promises to eliminate sequencing errors, but the relative...
Paper Details
Title
Benchmarking of computational error-correction methods for next-generation sequencing data
Published Date
Mar 17, 2020
Volume
21
Issue
1
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