AlexsLemonade / AlexsLemonade/OpenScPCA-analysis

celltype/tumor annotation for non-ETP T-ALL (SCPCP000003)

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analysis
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Description

### If you are filing this issue based on a specific GitHub Discussion, please link to the relevant Discussion.

#630

### Describe the goals of the changes to the analysis module.

The goal is to annotate cell type and tumor/normal status for each non-ETP T-ALL samples in SCPCP000003.

1. Marker genes are mostly obtained from the [Azimuth reference](https://azimuth.hubmapconsortium.org/references/#Human%20-%20Bone%20Marrow) (Human - Bone Marrow), with additional annotation from other sources (cancer cell and erythroid precursor from [ScType database](https://sctype.app/database.php); blast cell from [Bhasin et al.](https://www.nature.com/articles/s41598-023-39152-z))
2. Based on the marker genes, we annotate cell type with ScType.
3. From the cell type annotation, we provide 'B cells' as the normal cells for CopyKat to identify tumor cells.

### What will your pull request contain?

This PR will contain codes for running ScType and CopyKat as well as the documentation for corresponding results.

### Will you require additional software beyond what is already in the analysis module?

I have installed libraries needed for ScType and CopyKat in previous PR.

### Will you require different computational resources beyond what the analysis module already uses?

I have been using a standard-4XL virtual machine, but it runs pretty slow for CopyKat by providing one core at a time. So I ran the CopyKat analysis part on our lab server.

### If known, when do you expect to file the pull request?

~ 10/7/2024

Contributor guide

Open the contributing guide

Research direction

Start by locating the analysis module and reviewing the existing ScType and CopyKat setup described in the issue, along with the cited Azimuth, ScType, and Bhasin et al. marker sources. Done means code for annotating cell type and tumor/normal status in the non-ETP T-ALL samples, plus documentation of the corresponding results and the B-cell input used for CopyKat.

Written by the indexing model from the issue text.

Assessment

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

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