Large-scale RNA-seq needs a common language.
Public sequencing archives contain valuable biological signal. Reomics is working to connect that signal to consistent descriptions of samples, subjects, studies, and experimental context.
Many records. One coherent view.
The proposed curation layer brings together information that currently lives across multiple archives and publications.
Heterogeneous descriptions
Study authors use different field names, free text, units, and levels of detail. A sample may have useful context spread across several records.
Auditable harmonization
Parsing, extraction, ontology mapping, consistency checks, and sampled human review create tables that can be searched and corrected.
Experience with data at scale.
Published recount3 results show the scale of the processing foundation on which the team can draw.
human SRA runs in recount3
Published recount3 scope
human and mouse runs processed
Published recount3 scope
compressed reads processed
Published recount3 scope
Historical recount3 figures, not Reomics platform totals. Read the 2021 Genome Biology paper.
Find the right data for your question.
We welcome conversations with biotechnology and pharmaceutical teams, researchers, and prospective collaborators.