A data browsing application for accessing gene and module-level blood transcriptome profiles of healthy pregnant women from high- and low-resource settings

Database (Oxford) 2024-10-28

Summary:

Transcriptome profiling data, generated via RNA sequencing, are commonly deposited in public repositories. However, these data may not be easily accessible or usable by many researchers. To enhance data reuse, we present well-annotated, partially analyzed data via a user-friendly web application. This project involved transcriptome profiling of blood samples from 15 healthy pregnant women in a low-resource setting, taken at 6 consecutive time points beginning from the first trimester. Additional...

Link:

https://pubmed.ncbi.nlm.nih.gov/38564425/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20241028102601&v=2.18.0.post9+e462414

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📚BioDBS Bibliography » Database (Oxford)

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Authors:

Darawan Rinchai, Tobias Brummaier, Alexandra A Marr, Tanwir Habib, Mohammed Toufiq, Tomoshigue Kino, François Nosten, Souhaila Al Khodor, Annalisa Terranegra, Rose McGready, Basirudeen Syed Ahamed Kabeer, Damien Chaussabel

Date tagged:

10/28/2024, 10:26

Date published:

04/02/2024, 06:00