hisat2 2.1.0-4 source package in Ubuntu

Changelog

hisat2 (2.1.0-4) unstable; urgency=medium

  * Integrate recent changes with the new python3-hisat2 package.
  * Made it easier to cross build the package

 -- Michael R. Crusoe <email address hidden>  Tue, 11 Feb 2020 18:22:17 +0100

Upload details

Uploaded by:
Debian Med on 2020-02-11
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2020-02-12 universe misc

Downloads

File Size SHA-256 Checksum
hisat2_2.1.0-4.dsc 2.1 KiB 278688f1e4f1ee8876e6c52adc4e5ea38fb4c5ac0a7efb9664d76fa30f8dfa16
hisat2_2.1.0.orig.tar.xz 2.6 MiB 8e12e932bb64346eb5ae9c4392146622f30e15b7d043efaecdebd0daea60e143
hisat2_2.1.0-4.debian.tar.xz 81.0 KiB 70bafae685fc9da1cb39b4de0722b34459e95257f4d9dc3c4ed28d8e693c99cb

No changes file available.

Binary packages built by this source

hisat2: graph-based alignment of short nucleotide reads to many genomes

 HISAT2 is a fast and sensitive alignment program for mapping next-generation
 sequencing reads (both DNA and RNA) to a population of human genomes (as well
 as against a single reference genome). Based on an extension of BWT for graphs
 a graph FM index (GFM) was designed and implementd. In addition to using
 one global GFM index that represents a population of human genomes, HISAT2
 uses a large set of small GFM indexes that collectively cover the whole genome
 (each index representing a genomic region of 56 Kbp, with 55,000 indexes
 needed to cover the human population). These small indexes (called local
 indexes), combined with several alignment strategies, enable rapid and
 accurate alignment of sequencing reads. This new indexing scheme is called a
 Hierarchical Graph FM index (HGFM).

hisat2-dbgsym: debug symbols for hisat2
python3-hisat2: Python scripts accompanying hisat2

 HISAT2 is a fast and sensitive alignment program for mapping next-
 generation sequencing reads (both DNA and RNA) to a population of human
 genomes (as well as against a single reference genome). Based on an
 extension of BWT for graphs a graph FM index (GFM) was designed and
 implementd. In addition to using one global GFM index that represents a
 population of human genomes, HISAT2 uses a large set of small GFM
 indexes that collectively cover the whole genome (each index
 representing a genomic region of 56 Kbp, with 55,000 indexes needed to
 cover the human population). These small indexes (called local indexes),
 combined with several alignment strategies, enable rapid and accurate
 alignment of sequencing reads. This new indexing scheme is called a
 Hierarchical Graph FM index (HGFM).
 .
 This package provides a serires of platform-independent scripts that are
 typically expected to be co-installed with the hisat2 binary.