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Merge pull request #135 from COMBINE-lab/master
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merge master back into dev
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rob-p authored Feb 15, 2024
2 parents 879896b + 1423c98 commit 07da56e
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2 changes: 1 addition & 1 deletion .release-please-manifest.json
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{
"undefined": "0.5.1",
".": "0.8.1"
".": "0.8.2"
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7 changes: 7 additions & 0 deletions CHANGELOG.md
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Changelog for alevin-fry

## [0.8.2](https://github.com/COMBINE-lab/alevin-fry/compare/v0.8.1...v0.8.2) (2023-06-29)


### Bug Fixes

* update deps, make clippy happy ([ac1a316](https://github.com/COMBINE-lab/alevin-fry/commit/ac1a316001103f39a173b8a066c62810a8724875))

## [0.8.1](https://github.com/COMBINE-lab/alevin-fry/compare/v0.8.0...v0.8.1) (2023-01-12)


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4 changes: 3 additions & 1 deletion README.md
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# alevin-fry ![Rust](https://github.com/COMBINE-lab/alevin-fry/workflows/Rust/badge.svg) [![Anaconda-Server Badge](https://anaconda.org/bioconda/alevin-fry/badges/platforms.svg)](https://anaconda.org/bioconda/alevin-fry) [![Anaconda-Server Badge](https://anaconda.org/bioconda/alevin-fry/badges/license.svg)](https://anaconda.org/bioconda/alevin-fry) ![GitHub tag (latest SemVer)](https://img.shields.io/github/v/tag/combine-lab/alevin-fry?style=flat-square)

`alevin-fry` is a suite of tools for the rapid, accurate and memory-frugal processing single-cell and single-nucleus sequencing data. It consumes RAD files generated by `salmon alevin`, and performs common operations like generating permit lists, and estimating the number of distinct molecules from each gene within each cell. The focus in `alevin-fry` is on safety, accuracy and efficiency (in terms of both time and memory usage).
`alevin-fry` is a suite of tools for the rapid, accurate and memory-frugal processing single-cell and single-nucleus sequencing data. It consumes RAD files generated by [`piscem`](https://github.com/COMBINE-lab/piscem) or `salmon alevin`, and performs common operations like generating permit lists, and estimating the number of distinct molecules from each gene within each cell. The focus in `alevin-fry` is on safety, accuracy and efficiency (in terms of both time and memory usage).

You can read the paper describing alevin fry, "Alevin-fry unlocks rapid, accurate, and memory-frugal quantification of single-cell RNA-seq data" [here](https://www.nature.com/articles/s41592-022-01408-3), and the pre-print [on bioRxiv](https://www.biorxiv.org/content/10.1101/2021.06.29.450377v1).

**Note**: We recommend using [`piscem`](https://github.com/COMBINE-lab/piscem) as the back-end mapper, rather than salmon, as it is substantially more resource-frugal, faster, and is a larger focus of current and future development.

### Getting started with `alevin-fry` and dedicated documentation

While this `README` contains some useful information to get started and some pointers, `alevin-fry` has it's own [dedicated documentation site](https://alevin-fry.readthedocs.io/en/latest/), hosted on `ReadTheDocs`.
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