shasta 0.11.1-4build1 source package in Ubuntu

Changelog

shasta (0.11.1-4build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 as default

 -- Graham Inggs <email address hidden>  Fri, 19 Jan 2024 20:54:22 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Debian Med
Architectures:
any-amd64 arm64 all
Section:
misc
Urgency:
Medium Urgency

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Builds

Noble: [FULLYBUILT] amd64 [FAILEDTOBUILD] arm64

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File Size SHA-256 Checksum
shasta_0.11.1.orig.tar.gz 3.8 MiB 7fdf7cfd939f33a619773f5c6ca56e168b3e1cc77b9b7811a98ec06f6dd8ba9a
shasta_0.11.1-4build1.debian.tar.xz 10.6 KiB 9905cb370dd2a0da32da40ead3d5b8fb6d3fd4c57d8743a01c13ac5b13cd96c3
shasta_0.11.1-4build1.dsc 2.4 KiB 95e80ed564d681a9ff2dde7d9fb146c9b3d4ae42c83d52b6d046bf8b20491453

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Binary packages built by this source

python3-shasta: nanopore whole genome assembly (dynamic library)

 De novo assembly from Oxford Nanopore reads. The goal of the Shasta long
 read assembler is to rapidly produce accurate assembled sequence using
 as input DNA reads generated by Oxford Nanopore flow cells.
 .
 Computational methods used by the Shasta assembler include:
 .
  * Using a run-length representation of the read sequence. This makes
    the assembly process more resilient to errors in homopolymer
    repeat counts, which are the most common type of errors in Oxford
    Nanopore reads.
 .
  * Using in some phases of the computation a representation of the read
    sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
 .
 Shasta assembly quality is comparable or better than assembly quality
 achieved by other long read assemblers.
 .
 This package contains the dynamic library that can be interfaced and
 imported within Python.

python3-shasta-dbgsym: debug symbols for python3-shasta
python3-shasta-doc: nanopore whole genome assembly (documentation)

 De novo assembly from Oxford Nanopore reads. The goal of the Shasta long
 read assembler is to rapidly produce accurate assembled sequence using
 as input DNA reads generated by Oxford Nanopore flow cells.
 .
 Computational methods used by the Shasta assembler include:
 .
  * Using a run-length representation of the read sequence. This makes
    the assembly process more resilient to errors in homopolymer
    repeat counts, which are the most common type of errors in Oxford
    Nanopore reads.
 .
  * Using in some phases of the computation a representation of the read
    sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
 .
 Shasta assembly quality is comparable or better than assembly quality
 achieved by other long read assemblers.
 .
 This package contains the documentation for the shasta and python3-shasta
 packages.

shasta: nanopore whole genome assembly (binaries and scripts)

 De novo assembly from Oxford Nanopore reads. The goal of the Shasta long
 read assembler is to rapidly produce accurate assembled sequence using
 as input DNA reads generated by Oxford Nanopore flow cells.
 .
 Computational methods used by the Shasta assembler include:
 .
  * Using a run-length representation of the read sequence. This makes
    the assembly process more resilient to errors in homopolymer
    repeat counts, which are the most common type of errors in Oxford
    Nanopore reads.
 .
  * Using in some phases of the computation a representation of the read
    sequence based on markers, a fixed subset of short k-mers (k ≈ 10).
 .
 Shasta assembly quality is comparable or better than assembly quality
 achieved by other long read assemblers.
 .
 This package contains the executable binaries (tools) and
 accommodating scripts.

shasta-dbgsym: debug symbols for shasta