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tothpetroczylab
SHARK
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master
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9
1-version-release-workflow
protected
accept_alignment
add_ci_pipeline
deep-dive-data
deep_dive_exp
develop
protected
master
default
protected
multiple_kmer_matches
native-type-hints
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12
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Created with Raphaël 2.2.0
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fix tests
deep-dive-data
deep-dive-data
Master => Develop
develop
develop
fixed test cases
fixed test cases
Deep-Dive iteration data used in prediction
Changed type-hints Mapping to Dict
master
master
Used native type-hints whereever possible
native-type-hints
native-type-hints
bugfix: use updated in-house NGD for notebook
accept_alignment
accept_alignment
Rebased master
deep_dive_exp
deep_dive_exp
Fix to jupyter notebook to use inverted vector from prediction module instead of inverting it ourselves
accept gap characters so that alignments can be used as input. Purely for ease of use
Updated usage for Deep-Dive k=1 score in Prediction
changed unit tests
changed google function name
remove alf_scoring files
correct avg function
Modified avg func
Normalise sum
Use SeqPairSimilarity to count AA
Special k1 score for next rounds of deep dive
Undo * score change
remove requirement for alfpy package
Added docstrings for Normalised Google Distance functions
Version bump
replace google score with own function in notebook
replace google score with own function
appended option to run Google Score
implement NGD ourselves
Modified kmer match score to consider mask character
docs,fix: Replaced real path with template.
2.0.3
2.0.3
chore: Bump version from 2.0.2 to 2.0.3.
tests: Implemented e2e tests for the capture tool.
docs,fix: Rolled back to bio_shark module instead of src.
SHARK-capture extension protocol can now be run from command line
README update to show how to use shark-capture extension protocol on results
enforce partial files to be read in order
Applied final fixes to the finalize_sharkcapture script.
feat: Made chunk_size configurable.
READme change to clarifying strict folder naming
added minor comment for clarification
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