יוג'ין קולקר (בי"ח לילדים בסיאטל ואונ' וושינגטון, ארה"ב)
יום שלישי, 3.4.2012, 13:30
חדר סמינרים במקלט, בניין ביולוגיה, טכניון,
Access to high-quality data drives our ability to ask questions and
find answers. Our lab has a number of projects based on this premise.
Proteomics data from experimental research in diabetes has enabled the discovery
of two promising beta cell regulators, Netrin and Sem3a. We have built MOPED, a
human and model organisms’ protein expression database, to provide a
comprehensive summary of publicly available proteomics data. With MOPED, users
can browse, sort, query, visualize, and compare their own data against existing
studies. Along with access to data comes the need for high-quality analysis of
data. We have built SPIRE, a web-based freely available proteomics analysis
pipeline to support and expand researchers’ capabilities as they move from data
to knowledge. To further leverage these data resources, the life sciences
community has enhanced its collaborations across diverse domains and
strengthened its alliance with computer and data experts. The Data-Enabled Life
Sciences Alliance International (DELSA) was founded to become the leading voice
and coordinating framework to accelerate data-enabled life sciences research.
Finally, the team is also working on improving the management and effectiveness
of healthcare organizations by mining their extensive data resources.