Closed mattdmem closed 5 years ago
Multi fast5s were released relatively recently, so I don't think they are compatible with this tool. You can use multi_to_single_fast5
from ONT fast5 api to convert your files to the old single fast5 format and then use STRique.
@LynnLy is right, so far we support only the single read fast5 format. I think I can patch it in, possibly next week. Pay
Patching it in would be great! Thanks!
@LynnLy's method worked - although there were so many fast5s it was taking FOREVER, so I grabbed the relevant read ids from the alignment and just put them in a separate folder.
@mattdmem With version v0.2.0 we now support bulk-fast5. I had to change the format of the fast5Index, any index.json generated with previous STRique versions won't work. The reworked command line now requires an index file instead of the raw directory. The index is compatible with the one generated from our nanopype pipeline. Since I also changed the location of the submodules, I would recommend starting with a clean installation as documented in the README. Apologize for that. Please also note that we now provide a Docker container to address the installation / dependency issues around pomegranate and networkx.
Hello,
I get error reading fast5 when trying to run your tool. Any ideas? We are using MinIT and the latest version of MinKnow (19). I think these are multi read fast5s? is this a problem?
Thanks
Matt