seqan-needle 1.0.2+ds-1 source package in Ubuntu

Changelog

seqan-needle (1.0.2+ds-1) unstable; urgency=medium

  * d/watch: find the complete source archives
  * New upstream version
  * d/rules: set "-O3" to match a normal release build.

 -- Michael R. Crusoe <email address hidden>  Mon, 04 Sep 2023 17:57:09 +0200

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

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Series Pocket Published Component Section

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File Size SHA-256 Checksum
seqan-needle_1.0.2+ds-1.dsc 2.1 KiB 00428c47822c267fd44d6dfd293e37a642bdd531191d7e923d15ac1608ae3c65
seqan-needle_1.0.2+ds.orig.tar.xz 4.8 MiB 28936c5bdfced7b09ac95459196d90a7a16a8b058f3bd18e552558a12f68ea5a
seqan-needle_1.0.2+ds-1.debian.tar.xz 6.0 KiB 63b614c6238f267f566a9bbc0c3e03892f739ab86dd2e4e44117fabe279e36b6

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Binary packages built by this source

seqan-needle: pre-filter for the counting of very large collections of nucleotide sequences

 Needle is a tool for semi-quantitative analysis of very large collections of
 nucleotide sequences.
 .
 Needle stores its data in multiple interleaved Bloom filter, a fast and space
 efficient probabilistic data structure and uses a windowing scheme (also called
 minimisers) to reduce the amount of data to store. How many interleaved Bloom
 filter are used is defined by the user. Each interleaved Bloom filter has a so
 called expression threshold and stores minimisers with an occurrence greater
 than or equal to its own expression threshold and smaller than the next biggest
 expression threshold (if there is no bigger expression threshold, all greater
 than or equal to the threshold are stored). These expression thresholds are
 then used during the query (called estimate) to approximate the expression
 values of given transcripts.

seqan-needle-dbgsym: debug symbols for seqan-needle
seqan-needle-doc: HTML documentation for seqan-needle and its APIs

 Needle is a tool for semi-quantitative analysis of very large collections of
 nucleotide sequences.
 .
 Needle stores its data in multiple interleaved Bloom filter, a fast and space
 efficient probabilistic data structure and uses a windowing scheme (also called
 minimisers) to reduce the amount of data to store. How many interleaved Bloom
 filter are used is defined by the user. Each interleaved Bloom filter has a so
 called expression threshold and stores minimisers with an occurrence greater
 than or equal to its own expression threshold and smaller than the next biggest
 expression threshold (if there is no bigger expression threshold, all greater
 than or equal to the threshold are stored). These expression thresholds are
 then used during the query (called estimate) to approximate the expression
 values of given transcripts.
 .
 This package contains Needle's HTML docs.