geoopen

RiboDoc: a Docker-based package for ribosome profiling analysis

GEO Series GSE173856. Saccharomyces cerevisiae. 4 samples. Type: Expression profiling by high throughput sequencing.

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 4
Harmonization: 8
Access: 4
Reuse readiness: 0
Engagement: 8

Topics

Saccharomyces cerevisiae Expression profiling by high throughput sequencing GEO gene expression

Dataset details

Repository: geo
Published: August 4, 2021
License: GEO-Open
DOI: geo/GSE173856

Scored with release 0.9.0

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.

Start your CV How the NIH biosketch works