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Open Source Science

https://github.com/kull-centre/_2025_larsen_degron_transcriptionfactors

Scripts and output from "Comprehensive degron mapping in human transcription factors"

https://github.com/kull-centre/_2025_larsen_degron_transcriptionfactors

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 4 DOI reference(s) in README
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    Academic publication links
    Links to: ncbi.nlm.nih.gov
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    Academic email domains
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    Organization kull-centre has institutional domain (www1.bio.ku.dk)
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    Scientific vocabulary similarity
    Low similarity (3.1%) to scientific vocabulary
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Repository

Scripts and output from "Comprehensive degron mapping in human transcription factors"

Basic Info
  • Host: GitHub
  • Owner: KULL-Centre
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 80.2 MB
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Created about 1 year ago · Last pushed 8 months ago
Metadata Files
Readme License

README.md

2025Larsendegrontranscriptionfactors

Scripts and output from "Comprehensive degron mapping in human transcription factors" by Fia B. Larsen, Vasileios Voutsinos, Nicolas Jonsson, Kristoffer E. Johansson, Freia D. Ethelberg, Kresten Lindorff-Larsen and Rasmus Hartmann-Petersen

Preprint

Contents

  • library: Script and input files for makeing the DNA libraries based on Lambert18
  • counts: Scripts for processing FASTQ files. Output counts and raw FASTQ files are available on ERDA
  • score: Scripts for calculating scores. FACS data files are available on ERDA
  • plots: Scripts for plotting
  • annotations: Scripts for mapping scores to the library and annotating with PAP, ADPred and structural features
  • analyses: Scripts for analyses and plotting

The main resulting data is in annotations/transfactiles.csv.gz and transfacproteins.csv.gz

Sequencing counts, FASTQ files and FACS data are available on ERDA

FASTQ files are deposited at NCBI SRA under BioProject ID: PRJNA1276444

Owner

  • Name: Linderstrøm-Lang Centre for Protein Science, University of Copenhagen
  • Login: KULL-Centre
  • Kind: organization
  • Location: Copenhagen, Denmark

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