Parse the GFF file using available libraries or an own parser

Integrative-Transcriptomics / tss-prediction-comparison

This repository includes the tool for the prediction, comparison and visualization of TSS predicted using RNAseq. The results are then compared to provide an overview and also single-detailed visualizations.

1 stars 0 forks source link

Parse the GFF file using available libraries or an own parser #39

Closed mwittep closed 2 weeks ago

mwittep commented 1 month ago

You can focus on the CDS annotations or gene, since they are the most common ones.

AronWichtner commented 2 weeks ago

Review:

I reviewed the file GFFParser.py on Branch 28-parsing-MasterTable

Readability: readable code Functionality: the parser does it's job and only parsers the features of type 'gene' in a DataFrame Style: your stile follows our coding conventions Documentation: The code has an internal documentation Testing: you did not test the code but i tried it myself and it works Other: a quick overview on what was done and where it was done is helpful for the reviewer.