HISAT2
graph-based alignment of next generation sequencing reads to a population of genomes

Links

  • KimLab - https://kim-lab.org
    • lab github - https://github.com/DaehwanKimLab
    • github for HISAT2 - https://github.com/DaehwanKimLab/hisat2
  • hisat-genotype - https://daehwankimlab.github.io/hisat-genotype
    • github for hisat-genotype - https://github.com/DaehwanKimLab/hisat-genotype
  • Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center - https://www.utsouthwestern.edu/departments/bioinformatics

  • Center for Computational Biology at Johns Hopkins University - http://www.ccb.jhu.edu
  • Main
  • About
  • Manual
  • HISAT-3N
  • Download
  • HowTo
  • Links

Funding


This work was supported in part by the National Human Genome Research Institute under grants R01-HG006102 and R01-HG006677, and NIH grants R01-LM06845 and R01-GM083873 and NSF grant CCF-0347992 to Steven L. Salzberg and by the Cancer Prevention Research Institute of Texas under grant RR170068 and NIH grant R01-GM135341 to Daehwan Kim

Getting Help


Please use hisat2.genomics@gmail.com for private communications only. Please do not email technical questions to HISAT2 contributors directly.

Publications

  • Zhang, Y., Park, C., Bennett, C., Thornton, M. and Kim, D. Rapid and accurate alignment of nucleotide conversion sequencing reads with HISAT-3N. Genome Research 31, 1290-1295 (2021).
  • Kim, D., Paggi, J.M., Park, C. et al. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol 37, 907–915 (2019).
  • Kim D, Langmead B and Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nature Methods 2015
  • Pertea M, Kim D, Pertea G, Leek JT and Salzberg SL. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nature Protocols 2016

Contributors

  • Chanhee Park
  • Ben Langmead
  • Yun (Leo) Zhang
  • Steven Salzberg
  • Daehwan Kim
    Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center
    Center for Computational Biologoy, Johns Hopkins University
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