All notable changes to this project will be documented in this file.
This format is based on Keep a Changelog, and this project would like to in spirit adhere to Semantic Versioning.
- New ansible installation scripts in
ansible_installer/
.
README.md
to include download links for the real-labelled datasets.
- Option to supply a file prefix with a new command line option for
run_model.py
,
README.md
to reorder the About section, add a section to describe the new prefix option, and a section describing the new method's PSIPRED Workbench availability.
- Option to save the results in a secondary file format. E.g. a sequence prediction can be saved as both ss2 and horiz in the same run without having to run twice.
README.md
to correct broken links and improve clarity.
- Fixed bug in
run_model.py
causing FASTA output to fail silently. - Added single letter options for command line arguments.
README.md
to correct broken links and improve clarity.s4pred.svg
from an inkscape SVG to a standard SVG so its not bloated with metadata and other unneccesary information.
- Functionality to output files with the PSIPRED HFORMAT (
.horiz
files). - An example of the output in
example/1qys.horiz
. - Details to the
README.md
regarding the output format.
- Fixed version number of output ss2 file header in
run_model.py
. README.md
to correct typos and improve clarity.
- Dependency on Biopython, specifically the SeqIO module.
- Example of a FASTA file containing multiple sequences, with
example/multi_seqs.fas
. - Added line to README.md regarding the RCSB PDB no longer providing updated secondary structure flat files (i.e.
ss.txt.gz
). - Added descriptions of new output options.
example/1qys_ss_conf.fas
included as an example of adding confidence scores to the.fas
format.example/multi_seqs.fas
for examples of predicting from a file containing more than one sequence.
- Behavior of
utilities.py
andrun_model.py
so they now parse and predict multiple sequences from a single FASTA file. utilities.py
uses a new wrapper around the Biopython parser.run_model.py
refactored to predict from multiple sequences in a single FASTA files.
- Add name and ID post-processing after Biopython read to improve the downstream file naming.
- Add separate inference script for large dataset processing with batches.
- README section on the inference code.
- Corrected invalid username references in python files.
- This CHANGELOG file.
- README now contains references and descriptions of: -- CHANGELOG. -- Contact for main developer @limitloss.
- Slimmed down the contents of the Citation section in the README.
- Fixed badges and made them visible.
- Widened the banner SVG file, and the corresponding PNG banner image file.
- Removed hench deleted files from main branch's history, drastically reducing the pack-file size.