CDCgov / CDCgov/seqsender

[FEATURE REQUEST] Add ID-style structure comments to GenBank

Open
#92 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

enhancement
Dominant language
Python
Stars
2
Forks
0
Avg merge
20m
Merged PRs (30d)
5

Description

In addition to adding the metadata to Biosample as expected, ID needs to continue adding fields into GenBank's structure comments. example: https://www.ncbi.nlm.nih.gov/nuccore/PP309127.1

 ##FluData-START##
            EPI_ISOLATE_ID        :: EPI_ISL_18527521
            NAME                  :: A/Washington/39/2023
            TYPE                  :: H1
            Segment_name          :: M
            HOST_AGE              :: 7
            HOST_SEX           :: M
            PASSAGE               :: Original
            LOCATION              :: United States / Washington
            COLLECT_DATE          :: 21-Sep-2023
            Lineage               :: A(H1N1)pdm09
            RESIST_TO_OSELTAMIVIR :: Sensitive
            RESIST_TO_ZANAMVIR    :: Sensitive
            SPECIMEN_ID           :: WA0956978 ORIGINAL
            SENDER_LAB            :: Washington State Public Health Laboratory
            SEQLAB_SAMPLE_ID      :: 3030759156
            EPI_SEQUENCE_ID       :: EPI2798254
            ##FluData-END##

Contributor guide

No contributing guide indexed for this repository

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

Start by locating the Python entry points that generate Biosample metadata and GenBank output, then compare the requested structure-comment block with the linked GenBank example. Done means the generated GenBank record includes the FluData fields in the requested format while the existing Biosample metadata continues to be produced.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.