FASDA aims to provide a fast and simple differential analysis tool
that just works and does not require any knowledge beyond basic Unix
command-line skills. The code is written entirely in C to maximize
efficiency and portability, and to provide a simple command-line user
interface.
biology/fasda: Update to 0.1.5
abundance:
Update stringtie command to also produce gene-level abundances
Output 0 for effective length for now to clearly indicate that it's invalid
normalize: Add --debug option
Updates for latest libxtend API
Test -> Yeast-test
Add Mouse-test suite with multiple mouse data options
Streamline test scripts
Changes: https://github.com/auerlab/fasda/releases
biology/fasda: Update to 0.1.4
Add --debug
Replace --map-gene with --feature-type for more flexibility
Use extended REs for gff3 feature selection (default =
RNA$|transcript$|gene_segment$, same as transcript in GTF)
Add --output-dir
Support |-separated ID aliases (report last alias)
Support outsourcing abundance calculation (default = stringtie)
Several bug fixes and minor enhancements
Changes: https://github.com/auerlab/fasda/releases
biology/fasda: Update to 0.1.3
Improvements to test scripts and results analysis scripts
Updates for libxtend API changes
Code clean up
Changes: outpaddling/libxtend/releases
biology/fasda: Fast and simple differential analysis
FASDA aims to provide a fast and simple differential analysis tool
that just works and does not require any knowledge beyond basic Unix
command-line skills. The code is written entirely in C to maximize
efficiency and portability, and to provide a simple command-line user
interface.
