cfe-lab / cfe-lab/MiCall

If performance is an issue, could transition to nvbowtie (GPU) ?

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question
Dominant language
Python
Stars
21
Forks
11
Avg merge
12h 5m
Merged PRs (30d)
24

Description

Came across an implementation of bowtie 2 for nvidia GPU's

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Read the linked nvbowtie implementation and inspect how MiCall currently performs its FASTQ processing and alignment work. Determine whether a GPU transition is technically and operationally feasible; done means a defined migration scope, compatibility assessment, and agreed implementation plan.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
bioinformatics, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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