gse2study
A set of scripts to download raw data form NCBI, build an epimedtool study and more.
Science Score: 26.0%
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 -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.3%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
A set of scripts to download raw data form NCBI, build an epimedtool study and more.
Basic Info
- Host: GitHub
- Owner: fchuffar
- Language: Shell
- Default Branch: master
- Size: 168 KB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 2
- Open Issues: 0
- Releases: 0
Created about 7 years ago
· Last pushed about 1 year ago
Metadata Files
Readme
Codemeta
README.md
gse2study
Run pipeline on the cluster
Cluster prerequisites
https://github.com/fchuffar/practiclesessions/blob/master/cimentinfrastructure/config_cluster.sh
Owner
- Name: Florent Chuffart
- Login: fchuffar
- Kind: user
- Location: Grenoble
- Company: INSERM
- Website: https://fchuffar.github.io
- Repositories: 6
- Profile: https://github.com/fchuffar
CodeMeta (codemeta.json)
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"description": "This package contains functions that are used to map single-cell Probabilistic Trait Loci (scPTL). The principle of scPTL mapping is to consider a distribution of single-cell traits as the phenotype of a (multicellular) individual, to acquire this phenotype in many individuals, and to scan the genome for DNA variants that change this phenotype.",
"name": "ptlmapper: Useful genetic tool allowing to discriminate individuals by comparing the distribution of their phenotype and to map the genetic loci responsible for specific distributions",
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"version": "0.1.1.9000",
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"fileSize": "0KB",
"citation": [
{
"@type": "ScholarlyArticle",
"datePublished": "2016",
"author": [
{
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{
"@type": "Person",
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{
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"name": "Exploiting single-cell quantitative data to map genetic variants having probabilistic effects",
"pagination": "accepted",
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}
GitHub Events
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