Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 9 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -29,10 +29,13 @@
- [Ranked transcripts](#ranked-transcripts)
- [Other useful commands](#other-useful-commands)
- [Licence](#licence)
- [Citing PSQAN](#citing-psqan)

## Overview
<img src="images/figure_for_github.png" width="870" height="750"/>

> **_Publication:_** *Bioinformatics Advances (2025)*. DOI: https://doi.org/10.1093/bioadv/vbaf293

## Introduction
Despite the advances in tools to process long-read RNA-sequencing (lrRNA-seq) data, the downstream analysis of transcriptional data remains challenging due to the detection of thousands of novel transcripts and the lack of tools to prioritise functionally important transcripts. From such a large number of transcripts, it is difficult to distinguish between stable transcripts of potential biological importance, partially processed RNAs and splicing noise. Furthermore, when using lrRNA-seq to identify rare and novel transcripts, the recommendation is to incorporate multiple replicates in the study design and implement transcript-level filters. However, determining optimal expression thresholds for filtering and selecting transcripts which are reproducible across samples remains a significant challenge. Consequently, researchers find it challenging to interpret lrRNA-seq data effectively and generate relevant hypothesis which could be experimentally validated in the laboratory.

Expand Down Expand Up @@ -237,4 +240,9 @@ Copyright 2024 Astex Therapeutics Ltd.

This repository is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This repository is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the [LICENSE](LICENSE) file (GNU General Public License) for more details.
This repository is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the [LICENSE](LICENSE) file (GNU General Public License) for more details.

## Citing PSQAN
If you use PSQAN in your research, please cite the following publication: https://doi.org/10.1093/bioadv/vbaf293

Siddharth Sethi, Emil K Gustavsson, Harpreet Saini, Mina Ryten, PSQAN: a pipeline to prioritize novel and biologically relevant transcripts from long-read RNA sequencing, Bioinformatics Advances, Volume 5, Issue 1, 2025, vbaf293, https://doi.org/10.1093/bioadv/vbaf293