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Releases: Kalan-Lab/codoff

v1.2.3

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@raufs raufs released this 12 Nov 02:39
0542d0a
  • Major Update: Update simulation to use sequential sampling - instead of creating hypothetical gene clusters of equivalent size to the focal region of interest by randomly grouping together genes from across the genome, the simulation samples real genomic loci of similar size to the focal region. This makes the simulation more realistic (preserves spatial structure of the genome) and makes inferences more robust to artifacts due to focal region size.
  • Major Update: Instead of an "empirical p-value" to assess codon usage discordance to the background genome, we now report a "discordance percentile".
  • Introduce: Introduced run_simulations.py to perform simulations of running codoff on random regions of a certain length for any input genome to validate the percentile/p-value distribution is uniform as expected.

What's Changed

Full Changelog: v1.2.2...v1.2.3

v1.2.2

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@raufs raufs released this 18 Sep 05:38
  • Fixed: reporting of focal region codon frequencies. While major stats, such as P-value, Spearman correlation, and observed cosine distance were unaffected by this issue, the last set of simulated focal-region frequencies was previously being reported in place of the actual focal region frequencies.
  • Switched to a significantly faster approach with caching of pre-computed CDS codon counts - can process ~90 fungal BGCs in ~5 mins using 1 thread.
  • Added more testing.
  • Options for both codoff and antismash_codoff have slightly changed.
  • Improved coding style.

Full Changelog: v1.2.1...v1.2.2

v1.2.1

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@raufs raufs released this 15 Jul 15:50
98518b2
  • Add support for gzipped input GenBank files.
  • Replace usage of pkg_resources API which is becoming deprecated.

Full Changelog: v1.2.0...v1.2.1

v1.2.0

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@raufs raufs released this 02 Apr 22:24

Full Changelog: v1.1.8...v1.2.0

v1.1.8

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@raufs raufs released this 31 Jul 02:33
70ae20d
  • push version in TOML
  • Note to users: essentially v1.1.0 to v1.1.8 are identical in terms of functionality - just experimenting with workflows for automated upload to pypi

v1.1.0

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@raufs raufs released this 20 May 14:45
0bd6469
  • Add support for additional input types including just a genome in FASTA format with a focal region defined using coordinates. pyrodigal is used in this case to perform gene calling.
  • Improve output clarity
  • Add argument for producing plot of simulated cosine distances with a marker for actual focal region cosine distnace
  • Make empirical P-value computation always on

Full Changelog: v1.0.0...v1.1.0

v1.0.0

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@raufs raufs released this 02 May 17:01
17f04cb
  • First release of codoff!