Verified Commit 1f860bf6 authored by Michael R. Crusoe's avatar Michael R. Crusoe 🏳️‍🌈
Browse files

temporarily skip the new python3-hisat2 package

parent 1f471efa
Loading
Loading
Loading
Loading
+3 −5
Original line number Diff line number Diff line
hisat2 (2.1.0-3) unstable; urgency=medium

  [ Steffen Moeller ]
  * Separated series of .py scripts and modules into separate
    python3-hisat2 package.
hisat2 (2.1.0-2nopython3hisat2) unstable; urgency=medium

  [ Saira Hussain ]
  * Add autopkgtest
@@ -12,6 +8,8 @@ hisat2 (2.1.0-3) unstable; urgency=medium
  * Recommends: bcftools, samtools

  [ Michael R. Crusoe ]
  * Skip the new python3-hisat2 package while we wait for 2.1.0-3 to go
    through the NEW queue.
  * Include SIMD everywhere headers and enable building on all architectures.
  * debhelper-compat 12
  * Remove trailing whitespace in debian/control
+22 −22
Original line number Diff line number Diff line
@@ -34,25 +34,25 @@ Description: graph-based alignment of short nucleotide reads to many genomes
 accurate alignment of sequencing reads. This new indexing scheme is called a
 Hierarchical Graph FM index (HGFM).

Package: python3-hisat2
Section: python
Architecture: all
Depends: ${misc:Depends},
         hisat2,
         python3
Description: 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.
# Package: python3-hisat2
# Section: python
# Architecture: all
# Depends: ${misc:Depends},
#          hisat2,
#          python3
# Description: 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.