Provides metadata of RNA-Seq datasets related with splicing factors with either loss- or gain-of-function experiments. SFMetaDB presents the Accession ID, description, the number of samples, associated curated splicing factors, perturbation and PubMed references of each RNA-Seq dataset. The database permits users to perform potential target identification for a specific splicing factor. It offers a view on how a splicing event is regulated across different biological contexts.
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA; TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX, USA; Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan; Institute of Genetics and Biophysics “Adriano Buzzati Traverso”, CNR, Naples, Italy; Department of Science and Technology, University of Naples “Parthenope”, Naples, Italy; Department of Molecular Genetics and Microbiology, Center for NeuroGenetics, the Genetics Institute, and the Genetics & Genomics Graduate Program, University of Florida, College of Medicine, Gainesville, FL, USA
SFMetaDB funding source(s)
Supported by startup funding from the ECE department and Texas A&M Engineering Experiment Station/Dwight Look College of Engineering at Texas A&M University and by funding from TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE) at Texas A&M University, by TEES seed grant, by Texas A&M University-CAPES Research Grant Program and by grants from the NIH (NS058901, NS098819).