shasta 0.8.0-2build1 source package in Ubuntu
Changelog
shasta (0.8.0-2build1) jammy; urgency=medium * No-change rebuild with Python 3.10 as default version -- Graham Inggs <email address hidden> Thu, 13 Jan 2022 20:31:16 +0000
Upload details
- Uploaded 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 | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| shasta_0.8.0.orig.tar.gz | 3.6 MiB | 8e94767275fc5352ff192afed783b00b720b6214d8779edc44e9ebe636e9833e |
| shasta_0.8.0-2build1.debian.tar.xz | 11.5 KiB | e087254a81cee7493d7fa4fb766b56415db1f4f7ff86aa8d82857d57c1c31e3a |
| shasta_0.8.0-2build1.dsc | 2.3 KiB | 1ad97be1cbdab3a2fffbdaab8a3a1a6258da2c35bb09fc7df15072d3be70ff11 |
Available diffs
- diff from 0.8.0-2 (in Debian) to 0.8.0-2build1 (306 bytes)
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
