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https://github.com/tobiasrausch/alfred

BAM Statistics, Feature Counting and Annotation
https://github.com/tobiasrausch/alfred

alfred alignment-metrics coverage-distribution feature-counting insert-size quality quality-control read-counts sequencing

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BAM Statistics, Feature Counting and Annotation

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## Alfred: BAM alignment statistics, feature counting and feature annotation

Alfred is available as a [Bioconda package](https://anaconda.org/bioconda/alfred), as a pre-compiled statically linked binary from [Alfred's github release page](https://github.com/tobiasrausch/alfred/releases/), as a singularity container [SIF file](https://github.com/tobiasrausch/alfred/releases/) or as a minimal [Docker container](https://hub.docker.com/r/trausch/alfred/). Please have a look at [Alfred's documentation](https://www.gear-genomics.com/docs/alfred/) for any installation or usage questions.

[Source Code](https://github.com/tobiasrausch/alfred/)

[Web Application](https://www.gear-genomics.com/alfred/)

[Documentation](https://www.gear-genomics.com/docs/alfred/)

## Citation

Tobias Rausch, Markus Hsi-Yang Fritz, Jan O Korbel, Vladimir Benes.
Alfred: interactive multi-sample BAM alignment statistics, feature counting and feature annotation for long- and short-read sequencing.
Bioinformatics. 2019 Jul 15;35(14):2489-2491.
[https://doi.org/10.1093/bioinformatics/bty1007](https://doi.org/10.1093/bioinformatics/bty1007)

License
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Alfred is distributed under the BSD 3-Clause license. Consult the accompanying [LICENSE](https://github.com/tobiasrausch/alfred/blob/master/LICENSE) file for more details.

## Credits

[HTSlib](https://github.com/samtools/htslib) is heavily used for all alignment and VCF/BCF processing. [Boost](https://www.boost.org/) for various data structures and algorithms and [Edlib](https://github.com/Martinsos/edlib) for pairwise alignments using edit distance.