seqan-needle 1.0.1.0.0.git.3011926+ds-4 source package in Ubuntu

Changelog

seqan-needle (1.0.1.0.0.git.3011926+ds-4) unstable; urgency=medium

  * Team upload.
  * Create doc without previous binary build
    Closes: #1024458

 -- Andreas Tille <email address hidden>  Thu, 24 Nov 2022 11:38:47 +0100

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

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe misc

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seqan-needle_1.0.1.0.0.git.3011926+ds-4.dsc 2.2 KiB 3560b1624aff0499dd8f47954890d2840508b78152f706bfcad796863d5a523a
seqan-needle_1.0.1.0.0.git.3011926+ds.orig.tar.xz 4.8 MiB 6ec1cf11797f5d7660970bb1ed8a1d58eafc61ba8bc2bc5afcbb61582413298b
seqan-needle_1.0.1.0.0.git.3011926+ds-4.debian.tar.xz 5.9 KiB 0f39029448ddca892db717c02cfd153eccd4b315ee6a2fb42db73d7eaed454ef

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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.