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version bump and cleanup
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c-mertes committed Jan 27, 2021
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: FRASER
Type: Package
Title: Find RAre Splicing Events in RNA-Seq Data
Version: 1.3.0
Date: 2020-10-15
Version: 1.3.1
Date: 2021-01-27
Authors@R: c(
person("Christian", "Mertes", role=c("aut", "cre"),
email="mertes@in.tum.de"),
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5 changes: 5 additions & 0 deletions NEWS
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CHANGES IN VERSION 1.2.1
o Add merging of external counts
o Add publication
o Minor bugfixes

CHANGES IN VERSION 1.1.6
-------------------------
o Use proper S3/S4 methods to share functions between packages
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9 changes: 6 additions & 3 deletions README.md
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# FRASER - Find RAre Splicing Events in RNA-seq

[![Build Status](https://travis-ci.com/c-mertes/FRASER.svg?branch=master)](https://travis-ci.com/c-mertes/FRASER)
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FRASER is a tool to detect aberrant splicing events in RNA-seq data. The method is described in a preprint on [bioRxiv](https://www.biorxiv.org/content/10.1101/2019.12.18.866830v1) and available through [Bioconductor](http://bioconductor.org/packages/release/bioc/html/FRASER.html). It is also part of the [Detection of RNA Outlier Pipeline (DROP)](https://github.com/gagneurlab/drop). The DROP pipeline is described [here on Nature's protocol exchange](https://doi.org/10.21203/rs.2.19080/v1).
FRASER is a tool to detect aberrant splicing events in RNA-seq data. The method is described and published in [Nature Communications](https://doi.org/doi:10.1038/s41467-020-20573-7) and available through [Bioconductor](https://doi.org/doi:10.18129/B9.bioc.FRASER). It is also part of the [Detection of RNA Outlier Pipeline (DROP)](https://github.com/gagneurlab/drop). The DROP pipeline is described and published in [Nature Protocols](https://doi.org/doi:10.1038/s41596-020-00462-5).

The FRASER framework and workflow aims to assist the diagnostics in the field of rare diseases where RNA-seq is performed to identify aberrant splicing defects. For a short tutorial on how to use FRASER on a dataset please use the [vignette](http://bioconductor.org/packages/release/bioc/vignettes/FRASER/inst/doc/FRASER.pdf) or our Colab tutorial at: [http://tinyurl.com/RNA-ASHG-colab](http://tinyurl.com/RNA-ASHG-colab). The Colab is based on a workshop that we presented at ASHG 2019/2020.

Please cite our method paper if you use it in a publication:

> Mertes, C., Scheller, I.F., Yépez, V.A. *et al.* Detection of aberrant splicing events in RNA-seq data using FRASER. *Nat Commun* **12**, 529 (2021). https://doi.org/10.1038/s41467-020-20573-7
## Installation

`FRASER` is an R/Bioconductor software package requiring a running
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