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== Please cite SSTAR as: ==
== Please cite SSTAR as: ==
Abugessaisa, I., H. Shimoji, S. Sahin, A. Kondo, J. Harshbarger, M. Lizio, Y. Hayashizaki, P. Carninci, F. consortium, A. Forrest, T. Kasukawa and H. Kawaji (2016). "FANTOM5 transcriptome catalog of cellular states based on Semantic MediaWiki." Database (Oxford) 2016
Abugessaisa, I., H. Shimoji, S. Sahin, A. Kondo, J. Harshbarger, M. Lizio, Y. Hayashizaki, P. Carninci, F. consortium, A. Forrest, T. Kasukawa and H. Kawaji (2016). "FANTOM5 transcriptome catalog of cellular states based on Semantic MediaWiki." Database (Oxford) 2016
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== Contacts ==
[mailto:fantom-help@riken.jp?Subject=Fantom5%20WebSite%20Subject&body= help]

Revision as of 10:32, 20 April 2017

FANTOM5 SSTAR (Semantic catalog of Samples, Transcription initiation And Regulators) provide a way to explore samples, transcriptional initiations, and regulators analyzed in the FANTOM5 project. If you have any questions or comments, please contact to fantom-help@riken.jp

 
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Examples Browse
Time courses Promoters and enhancers activity in 19 human and 14 mouse time courses covering a wide range of cell types and biological stimuli

Timecourses chart

Samples Details of profiled samples (incl. primary cells, cell lines, and tissues)

human

mouse

Sample classifications

Samples profiled in FANTOM5 are systematically classified by defining FANTON5 sample ontology (FF), consisting of Cell type (CL), Diseases (DOID), and Anatomy (UBERON).

Cell Type (CL)

Disease (DOID)

Anatomy (UBERON)

FANTOM5 (FF)

Co-expression

CAGE peaks (TSS regions) are grouped based on expression, by using MCL

Human

Mouse

Motifs

known and de-novo motifs discovered in the proximal region to the CAGE peaks

Transcription factors

Transcription factors.

human

mouse

Please cite SSTAR as:

Abugessaisa, I., H. Shimoji, S. Sahin, A. Kondo, J. Harshbarger, M. Lizio, Y. Hayashizaki, P. Carninci, F. consortium, A. Forrest, T. Kasukawa and H. Kawaji (2016). "FANTOM5 transcriptome catalog of cellular states based on Semantic MediaWiki." Database (Oxford) 2016