Closed mhkc closed 8 months ago
(Commenting on function in the GUI, not the code. Some of the comments are nice-to-haves and some are not yet implemented, so the comments are mix of needs, wants and bugs) WebIGV
Resistance prediction part
general things which I assume are just temporarily broken
From
(Commenting on function in the GUI, not the code. Some of the comments are nice-to-haves and some are not yet implemented, so the comments are mix of needs, wants and bugs) WebIGV
* BUG: SV from delly do not show the correct coordinates when opening * NICE: the gff track does not show the names of the features without clicking on them * NEED: the bed regions with the analyzed areas from tbprofiler is missing * NICE: if possible show the amino acid part of the gff as in the regular IGV
Resistance prediction part
* accepting/rejecting variant works very good * NICE: you can reject an antibiotic which has not been assigned to the mutations which is a bit wierd, when selecting reject, a filtered drop down would be nice * NEED: Isoniazid should be possible to assign as low and high resistance * NICE: hyperlinks on genes are broken * NICE: being able to sort table by absolute genomic position would be nice since you might get an idea of wither polymorphic sites are clustered in one or many of the targets in the bed file * NICE-NEED: adding a column with the predicted variant effect. If we do not have it already, VEP or similar would be good * BUG: adding a number to filter on % or depth throws an type error * NICE: frequency and depth filter would be usable for both high- and low-cutoffs * NICE: the SV part has no guidance to the effect at all, if we at least get the AMR determining regions included that is at least a start
general things which I assume are just temporarily broken
* export to lims is not implemented * quality control box is broken
WebIGV
Resistance prediction part
Tested all the functionality in the GUI and the variant calling curation system is now good.
This PR adds a view for analyzing and classifying variants called by TbProfiler and called SNV and SV variants.
This PR depends on this
bonsai-prp
PR, https://github.com/Clinical-Genomics-Lund/bonsai-prp/pull/33Changes
How to setup and perform the tests
Expected outcome
A short description of the expected outcome of the test above.
Additional context
test_mtuberculosis_1.json