Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Stephan C. Schürer"'
Autor:
William D. Duncan, Jens Hansen, Sam Smith, Sirarat Sarntivijai, K. Sue O'Shea, Alexander D. Diehl, Ravi Iyengar, Lucas M Serra, Omar Tibi, Jie Zheng, Edison Ong, Yongqun He, Stephan C. Schürer, Daniel J. Cooper, Kendal A. Walker
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss S5, Pp 237-247 (2019)
BMC Bioinformatics, Vol 20, Iss S5, Pp 237-247 (2019)
Background Stem cells and stem cell lines are widely used in biomedical research. The Cell Ontology (CL) and Cell Line Ontology (CLO) are two community-based OBO Foundry ontologies in the domains of in vivo cells and in vitro cell line cells, respect
Autor:
Stephan C. Schürer, Zhaohui Ni, Yongqun He, Caty Chung, Jiangan Xie, Daniel J. Cooper, Raymond Terryn, Vasileios Stathias, Qingping Liu, Yu Lin, Sirarat Sarntivijai, Edison Ong
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 18, Iss S17, Pp 43-53 (2017)
BMC Bioinformatics, Vol 18, Iss S17, Pp 43-53 (2017)
Background Aiming to understand cellular responses to different perturbations, the NIH Common Fund Library of Integrated Network-based Cellular Signatures (LINCS) program involves many institutes and laboratories working on over a thousand cell lines
Autor:
Robin P. Smith, Stephan C. Schürer, Ubbo Visser, Vance Lemmon, Saminda Abeyruwan, Uma D. Vempati
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 12, Iss 1, p 257 (2011)
BMC Bioinformatics, Vol 12, Iss 1, p 257 (2011)
Background High-throughput screening (HTS) is one of the main strategies to identify novel entry points for the development of small molecule chemical probes and drugs and is now commonly accessible to public sector research. Large amounts of data ge