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uwmisl
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poretitioner
https://misl.cs.washington.edu
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Bump torch from 1.7.1 to 1.13.1
#109
dependabot[bot]
opened
1 year ago
0
Bump notebook from 6.2.0 to 6.4.12
#108
dependabot[bot]
opened
2 years ago
0
Bump notebook from 6.2.0 to 6.4.10
#107
dependabot[bot]
closed
2 years ago
1
Bump notebook from 6.2.0 to 6.4.1
#106
dependabot[bot]
closed
2 years ago
1
Flake porting.
#105
thequicksort
closed
3 years ago
0
Jdunstan/beta
#104
thequicksort
opened
3 years ago
1
judge_channels and capture file accessor stubs
#103
kdoroschak
closed
3 years ago
1
Save good channels to fast5 in segment.py
#102
kdoroschak
opened
3 years ago
0
Parameterize or define hardcoded values in judge_channels
#101
kdoroschak
opened
3 years ago
0
Common Beta branch.
#100
thequicksort
closed
3 years ago
0
Kdoroschak/beta-tests (segment.py tested & debugged)
#99
kdoroschak
closed
3 years ago
0
Kdoroschak/beta-tests (unit tests for segment.py)
#98
kdoroschak
closed
3 years ago
0
Only last read is saved in each capture FAST5 file
#97
kdoroschak
closed
3 years ago
0
Jdunstan/smaller from now on
#96
thequicksort
closed
3 years ago
1
Determining capture ejection based on window vs. based on voltage
#95
kdoroschak
closed
3 years ago
1
Code profiling: NanoporeTER vs poretitioner
#94
kdoroschak
closed
3 years ago
0
90%+ Segmentation Test Coverage
#93
thequicksort
closed
3 years ago
0
Implement Classification; Restore Classification unit tests
#92
thequicksort
opened
3 years ago
0
Implement plugins for Filters and Classifiers
#91
thequicksort
opened
3 years ago
0
Implement Filtering; Restore Filtering
#90
thequicksort
opened
3 years ago
0
Restore quantify unit tests
#89
thequicksort
opened
3 years ago
0
Restore Filtering unit tests
#88
thequicksort
opened
3 years ago
0
Jdunstan/the big one
#87
thequicksort
closed
3 years ago
0
Architecting signal and fast5 data organization
#86
thequicksort
closed
3 years ago
1
Optimize time and space consumption.
#85
thequicksort
opened
3 years ago
2
[#83] Introduce abstractions for signals and fast5 files
#84
thequicksort
closed
3 years ago
0
Plumb through the new Signal and H5 models
#83
thequicksort
opened
3 years ago
1
Kdoroschak/quantification
#82
kdoroschak
closed
3 years ago
1
Implement getters for data in the fast5 files
#81
kdoroschak
opened
3 years ago
0
Linking within fast5 files goes the wrong direction
#80
kdoroschak
closed
3 years ago
1
Implement compression for fast5 files
#79
kdoroschak
opened
3 years ago
0
Move modules up 1 level
#78
kdoroschak
opened
3 years ago
0
Create a demo jupyter notebook documenting usage
#77
kdoroschak
opened
3 years ago
0
Deprecate the random forest for the sake of image size
#76
kdoroschak
opened
3 years ago
0
Remove NanoporeTER paper code
#75
kdoroschak
closed
3 years ago
0
Call good channel detection function somewhere
#74
kdoroschak
closed
3 years ago
0
Need to a better way to configure poretitioner?
#73
kdoroschak
opened
3 years ago
0
Implement new file spec for quantification
#72
kdoroschak
closed
3 years ago
0
Deprecate set-env and add-path commands
#71
kdoroschak
closed
4 years ago
0
Kdoroschak/classification
#70
kdoroschak
closed
4 years ago
0
Pytorch CNN weights cannot be read using python 3.x
#69
kdoroschak
closed
4 years ago
0
Implement filter_like_existing fast5 file
#68
kdoroschak
opened
4 years ago
0
Parallelize filtering
#67
kdoroschak
opened
4 years ago
0
type hint throwing error
#66
kdoroschak
closed
4 years ago
1
Define modes for running poretitioner
#65
kdoroschak
opened
4 years ago
0
Validate configuration parameters before starting the pipeline (e.g. capture_f5_dir)
#64
kdoroschak
opened
4 years ago
0
Refactor classify.py
#63
kdoroschak
closed
4 years ago
0
Support developer installation on linux
#62
kdoroschak
opened
4 years ago
1
Create test data for arbitrary voltage flips
#61
kdoroschak
opened
4 years ago
1
Poretitioner command line arguments
#60
thequicksort
closed
4 years ago
1
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