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DOC: update intro and add link to preprint #80

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merged 1 commit into from
Nov 11, 2024

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@GavinHuttley GavinHuttley commented Nov 11, 2024

Summary by Sourcery

Update the README to enhance the introduction of diverse_seq and include a link to a relevant preprint.

Documentation:

  • Updated the README to provide a more detailed introduction to the diverse_seq tool, highlighting its alignment-free algorithms and their application in phylogenetic workflows.
  • Added a link to a preprint for further reading on the methods implemented in diverse_seq.

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sourcery-ai bot commented Nov 11, 2024

Reviewer's Guide by Sourcery

This PR updates the README.md file to provide a more comprehensive and accurate description of the diverse_seq project, including its capabilities and performance characteristics. The changes replace the original brief introduction with a more detailed explanation and add a link to the project's preprint.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change Details Files
Updated project description to better reflect its capabilities and scope
  • Modified project tagline to emphasize alignment-free algorithms and phylogenetic workflows
  • Added detailed performance metrics for genome analysis
  • Included information about seed phylogeny generation
  • Added reference to the project's preprint
README.md

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@GavinHuttley GavinHuttley merged commit ac92055 into HuttleyLab:main Nov 11, 2024
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Hey @GavinHuttley - I've reviewed your changes and they look great!

Here's what I looked at during the review
  • 🟢 General issues: all looks good
  • 🟢 Security: all looks good
  • 🟢 Testing: all looks good
  • 🟢 Complexity: all looks good
  • 🟡 Documentation: 1 issue found

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`diverse_seq` provides tools for selecting a representative subset of sequences from a larger collection. It is an alignment-free method which scales linearly with the number of sequences. It identifies the subset of sequences that maximize diversity as measured using Jensen-Shannon divergence. `diverse_seq` provides a command-line tool (`dvs`) and plugins to the Cogent3 app system (prefixed by `dvs_`) allowing users to embed code in their own scripts. The command-line tools can be run in parallel.
`diverse-seq` implements computationally efficient alignment-free algorithms that enable efficient prototyping for phylogenetic workflows. It can accelerate parameter selection searches for sequence alignment and phylogeny estimation by identifying a subset of sequences that are representative of the diversity in a collection. We show that selecting representative sequences with an entropy measure of *k*-mer frequencies correspond well to sampling via conventional genetic distances. The computational performance is linear with respect to the number of sequences and can be run in parallel. Applied to a collection of 10.5k whole microbial genomes on a laptop took ~8 minutes to prepare the data and 4 minutes to select 100 representatives. `diverse-seq` can further boost the performance of phylogenetic estimation by providing a seed phylogeny that can be further refined by a more sophisticated algorithm. For ~1k whole microbial genomes on a laptop, it takes ~1.8 minutes to estimate a bifurcating tree from mash distances.

You can read more about the methods implemented in `diverse_seq` in the preprint [here](https://biorxiv.org/cgi/content/short/2024.11.10.622877v1).
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issue (documentation): Package name is inconsistently written as both diverse-seq and diverse_seq

Please standardize the package name throughout the documentation to avoid confusion.

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Pull Request Test Coverage Report for Build 11785928718

Warning: This coverage report may be inaccurate.

This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.

Details

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage remained the same at 91.892%

Totals Coverage Status
Change from base Build 11770334092: 0.0%
Covered Lines: 1190
Relevant Lines: 1295

💛 - Coveralls

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