Correction to: GASAL2: A GPU accelerated sequence alignment library for high-Throughput NGS data (BMC Bioinformatics (2019) 20 (520) DOI: 10.1186/s12859-019-3086-9)

Following publication of the original article [1], the author requested changes to the figures 4, 7, 8, 9, 12 and 14 to align these with the text. The corrected figures are supplied below. The original article [1] has been corrected. [Typesetter, please insert new supplied figure in package].

GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data

BACKGROUND: Due the computational complexity of sequence alignment algorithms, various accelerated solutions have been proposed to speedup this analysis. NVBIO is the only available GPU library that accelerates sequence alignment of high-throughput NGS data, but has limited performance. In this article we present GASAL2, a GPU library for...

GPU Accelerated Sequence Alignment with Trace-back for GATK HaplotypeCaller

Background: Pairwise sequence alignment is widely used in many biological tools and applications. Existing GPU accelerated implementations mainly focus on calculating optimal alignment score and omit identifying the optimal alignment itself. In GATK HaplotypeCaller (HC), the semi-global pairwise sequence alignment with traceback has so far<br/...

Efficient Acceleration of the Pair-HMMs Forward Algorithm for GATK HaplotypeCaller on Graphics Processing Units

GATK HaplotypeCaller (HC) is a popular variant caller, which is widely used to identify variants in complex genomes. However, due to its high variants detection accuracy, it suffers from long execution time. In GATK HC, the pair-HMMs forward algorithm accounts for a large percentage of the total execution time. This article proposes to...