malt 0.5.2-3 source package in Ubuntu

Changelog

malt (0.5.2-3) unstable; urgency=medium

  * Fixing the clean target (Closes: #1046315)
  * Set upstream metadata fields: Bug-Database, Bug-Submit, Repository,
    Repository-Browse.
  * Update standards version to 4.6.2, no changes needed.

 -- Pierre Gruet <email address hidden>  Sun, 03 Dec 2023 09:22:31 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
malt_0.5.2-3.dsc 1.9 KiB 7b61fdcf56f72ffab8f622d8208891530b260791cc3ba1fdb6d4f3971efc8e95
malt_0.5.2.orig.tar.gz 427.5 KiB 904eb781aa0c7369bd7bccb88a3e8696fa83513e073988f0d76f09faea2dc1a1
malt_0.5.2-3.debian.tar.xz 6.5 KiB 951b2ab323e15fe823dc3fe801b26bac292064a3ab939d0b8a0a9084a8b64856

Available diffs

No changes file available.

Binary packages built by this source

malt: sequence alignment and analysis tool to process sequencing data

 MALT, an acronym for MEGAN alignment tool, is a sequence alignment and
 analysis tool designed for processing high-throughput sequencing data,
 especially in the context of metagenomics. It is an extension of MEGAN6,
 the MEGenome Analyzer and is designed to provide the input for MEGAN6,
 but can also be used independently of MEGAN6.
 .
 The core of the program is a sequence alignment engine that aligns DNA
 or protein sequences to a DNA or protein reference database in either
 BLASTN (DNA queries and DNA references), BLASTX (DNA queries and protein
 references) or BLASTP (protein queries and protein references) mode. The
 engine uses a banded-alignment algorithm with ane gap scores and BLOSUM
 substitution matrices (in the case of protein alignments). The program
 can compute both local alignments (Smith-Waterman) or semi-global
 alignments (in which reads are aligned end-to-end into reference
 sequences), the latter being more appropriate for aligning metagenomic
 reads to references.