The reuse of public datasets in the life sciences: potential risks and rewards
https://t.co/gMpfeb4Yqx
#DataScience #OpenAccess #Bioinformatics #WomenWhoCode #WomenInSTEM #WomenInScience #100DaysOfCode #AcademicChatter #ScienceTwitter #SciComm #Python #coding #Genomics #retweet https://t.co/ZN22I5EmHo
The reuse of public datasets in the life sciences: potential risks and rewards
https://t.co/wXPoMpNhEX
StereoCell enables highly accurate single-cell segmentation for spatial transcriptomics
https://t.co/yINZD5kauC
#Bioinformatics #DataScience #OpenAccess #AcademicChatter
SODAR: managing multi-omics study data and metadata
https://t.co/ifVmrUxUVK
The reuse of public datasets in the life sciences: potential risks and rewards
https://t.co/gMpfeb5wg5
#OpenAccess #DataScience
simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
https://t.co/VRbsVPA9Rc
The reuse of public datasets in the life sciences: potential risks and rewards
https://t.co/qkwn17fiiP
#Genomics #DataScience
The reuse of public datasets in the life sciences: potential risks and rewards
https://t.co/gMpfeb5wg5
Flattening the curve - How to get better results with small deep-mutational-scanning datasets
https://t.co/AvHuMBrTA0
#DataScience #OpenAccess