Releases: psipred/s4pred
Releases · psipred/s4pred
v1.2.0: Supports outputting PSIPRED HFORMAT
Added
- Functionality to output files with the PSIPRED HFORMAT (
.horiz
files) for parity with PSIPRED's H and V formats. Also allows easier future incorporation of S4PRED into the PSIPRED Workbench. - An example of the output in
example/1qys.horiz
. - Details to the
README.md
regarding the output format.
Changed
- Fixed version number of output ss2 file header in
run_model.py
. README.md
to correct typos and improve clarity.
v1.1.0
1.1.0 - All Changes
Added
- 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.
Changed
- 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.
To Do
- Shift to using the Biopython FASTA file parser.
- Update
run_model.py
to run and save batches of sequences from a single input FASTA file. - 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.
v1.0.0
All Changes Since Init
Added
- This CHANGELOG file.
- README now contains references and descriptions of:
-- CHANGELOG.
-- Contact for main developer @limitloss. - README section on the inference code.
Changed
- Slimmed down the contents of the Citation section in the README.
- Fixed badges and made them visible.
- Corrected invalid username references in python files.
- Widened the banner SVG file, and the corresponding PNG banner image file.
Removed
- Removed hench deleted files from main branch's history, drastically reducing the pack-file size.
To Do
- Shift to using the Biopython FASTA file parser.
- Update
run_model.py
to run and save batches of sequences from a single input FASTA file.