Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/computational-genomics-research-program/functional_homogeneity

This repository contains data sets, raw data and custom scripts for the paper "Limits to a classic paradigm: Most transcription factors regulate genes in multiple biological processes".

https://github.com/computational-genomics-research-program/functional_homogeneity

Science Score: 10.0%

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

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: biorxiv.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

This repository contains data sets, raw data and custom scripts for the paper "Limits to a classic paradigm: Most transcription factors regulate genes in multiple biological processes".

Basic Info
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of dledezma/functional_homogeneity
Created over 7 years ago · Last pushed about 7 years ago

https://github.com/Computational-Genomics-Research-Program/functional_homogeneity/blob/master/ 

# Data repository for [Limits to a classic paradigm: Most transcription factors regulate genes in multiple biological processes](https://www.biorxiv.org/content/early/2018/11/28/479857.article-info?fbclid=IwAR3srQlqvJ73lQ3jzrKGwKo1Rcwqkb4Ss_J9KVuoed-D1lrZVdT5WHjE_58)
Data is separated in 4 parts:
1. Connectivity analysis. Includes the pipeline used to quantify connectivity for all group of genes.
2. GO analysis. Includes the pipeline to identify dominant GO terms excluding levels 1 and 2 of the ontology, for all groups of genes.
3. Coexpression analysis. Includes the pipeline used to calculate the Spearman correlation of all the groups of genes.
4. Original data sets. Includes the pipeline used to 

## connectivity ##
Includes all the connectivity results reported in the article and the pipeline used to generate them.

## coexpression_analysis ##
Includes all the coexpression results reported in the article, based on the Spearman correlation between pairs of genes. It also includes the pipeline used to generate them.

## GO_analysis ##
Includes the dominant GO terms of all groups reported in the article. Both with and without levels 1 and 2 of the ontology.  It also includes the pipeline used to generate them.

## original_data_sets ##
Includes the genes belonging to all regulons reported in the paper. It also includes the scripts used to generate them.

### Download all data from terminal:

```
git clone https://github.com/dledezma/functional_homogeneity.git
```

###### Questions and comments please contact Daniela Ledezma @ dledezma@lcg.unam.mx

GitHub Events

Total
Last Year