shasta 0.8.0-2ubuntu1 source package in Ubuntu

Changelog

shasta (0.8.0-2ubuntu1) jammy; urgency=medium

  * d/tests/run-unit-test: Disable shasta binary test as it requires too much
    memory, even with the configuration for big_packages.

 -- Alexandre Ghiti <email address hidden>  Tue, 15 Feb 2022 14:29:09 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Kinetic release universe misc
Jammy release universe misc

Builds

Jammy: [FULLYBUILT] amd64 [FULLYBUILT] arm64

Downloads

File Size SHA-256 Checksum
shasta_0.8.0.orig.tar.gz 3.6 MiB 8e94767275fc5352ff192afed783b00b720b6214d8779edc44e9ebe636e9833e
shasta_0.8.0-2ubuntu1.debian.tar.xz 11.6 KiB a30b9e476f66664a0e3570d95dba36996158b54a6c31e8e22e09a44a3196e846
shasta_0.8.0-2ubuntu1.dsc 2.3 KiB 679ff88089da0f74eb1ad98823a59a68482207c1af7a1e11327132a92b8c6f3b

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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