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Source: shasta
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Shayan Doust <hello@shayandoust.me>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
dh-exec,
cmake,
patchelf,
chrpath,
libboost-all-dev,
libpng-dev,
ncbi-blast+,
python3-sphinx,
python3-dev,
libseqan2-dev,
libspoa-dev,
python3-pybind11,
libcpu-features-dev [any-amd64],
libcereal-dev,
libblas-dev,
liblapack-dev,
gfortran
Standards-Version: 4.6.1
Vcs-Browser: https://salsa.debian.org/med-team/shasta
Vcs-Git: https://salsa.debian.org/med-team/shasta.git
Homepage: https://github.com/chanzuckerberg/shasta
Rules-Requires-Root: no
Package: shasta
Architecture: any-amd64 arm64
# even if one comments out the sections that forbid compilation on other archs
# one gets this error message:
# undefined reference to `__sync_bool_compare_and_swap_16'
# see src/dset64.hpp for more details
Depends: ${misc:Depends},
${shlibs:Depends},
python3-shasta (= ${binary:Version}),
Description: 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.
Package: python3-shasta
Architecture: any-amd64 arm64
Section: python
Depends: ${python3:Depends},
${shlibs:Depends},
${misc:Depends},
ncbi-blast+
Description: 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.
Package: python3-shasta-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Built-Using: ${sphinxdoc:Built-Using}
Depends: ${sphinxdoc:Depends},
${misc:Depends}
Recommends: shasta,
python3-shasta
Description: 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.
|
