Introduction of LABRATsc

In this version, we introduce LABRATsc, a tool for quantifying APA from single cell RNAseq data. LABRATsc relies on alevin just as LABRAT relies on salmon.

LABRATsc quantifies differences in APA across predefined populations or clusters of cells. Similar to LABRAT, it calculates gene level psi values as a measure of relative APA site use. It then compares those psi values across predefined clusters of cells and identifies genes whose APA status changes across clusters. The documentation for LABRATsc is included at the bottom of the README file for LABRAT.

Add setup.py for bioconda push

Add setup.py for bioconda push

Add shebangs in prep for bioconda push

Minor update. Add shebangs to python scripts in preparation for submitting LABRAT to bioconda.

3' end sequencing compatibility

In this update, the ability to quantify APA in 3' end sequencing data has been added. To facilitate this, the --librarytype parameter has been added. The value of --librarytype must be either RNAseq or 3pseq.

Initial LABRAT release

First release of LABRAT. Identifies genes whose relative usage of alternative polyadenylation sites changes across conditions using a LME model.