Colloquium / Seminars
Topic:Challenges and opportunities to extract knowledge from the biological Big Data
Speaker:Dr. Yu-Wei Wu
(Berkeley Lab-Lawrence Berkeley National Laboratory)Date time:Dec. 15,2015 13:20 - 14:10
Venue:SA321
Tea Party:Dec. 15,2015 14:20 (SA205)
Abstract:
Biological data has been established to be “open” since 1982—a group of scientists foresaw the need for data openness in the future and decided to build a data center for biological data. The data amount grows exponentially every year and has already surpassed the Moore’s Law, which states that the amount of data will double every 18 months. Furthermore, the title and abstract of almost all publications vaguely-related to biology, chemistry, and medicine can be found in the database, enabling large scales of publication data mining. However, there are huge barriers to entering and seeking treasures in this biological wonderland. In my talk I will brief describe what the biological data world looks like, and what are the barriers that prevent people from entering this world. I will also talk about how I apply machine learning algorithms on the biological data to help biologists make interpretations. I hope this talk will help people understand more about the biological data and enable them to search for treasures from this well-established Big Data world.Download:演講1041215.doc
Download:演講1041215.odt
go back