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This is a weekly forum for learning and sharing bioinformatics. It’s mainly for researchers in Brigham, but open to the public.

Each time a short talk (30-45min) for a specific topic will be given by a voluntary speaker, with a step-by-step tutorial and practical demo. Topics like NGS data processing, Linux commands, R programming, statistics and machine learning, data visualization, and various bioinformatics tools and resources would be covered.

The goal of the club is to create a learn-and-share atmosphere among the Bioinformatics researchers in BWH. It’s open & free to everyone, incl. all slides and learning materials. However, we have just one requirement: To keep the club running, every member should present at least once in the club per year. If you think you need more time to prepare, it’s totally fine. When you are ready, please send me the title and your preferred date, so that I will put you on our schedule. You can pick up your specialized topic or a new topic you planned to learn but never determined to study. The philosophy is when you set up a learning goal, you are more likely to reach the target.

Upcoming Talks

november

17nov10:30 am11:30 amIntroducing Partners Biobank Portal and Research Patient Data Registry (RPDR)with live demo and Q&A10:30 am - 11:30 am BTM - 3002 Lecturer: Stacey Duey Event Category:Invited talk,Tools and resources

20nov12:00 pm1:00 pmIDEA Analytics Platform: Big Data and Hadoop at Partners12:00 pm - 1:00 pm BTM - 9004 Lecturer: Edana Merchan Event Category:Invited talk,Statistics and machine learning,Tools and resources

27nov10:00 am11:00 amIntroduction to Partners Clinical Image Bank10:00 am - 11:00 am BTM - 3002 Lecturer: Randy Gollub Event Category:Invited talk,Tools and resources

december

04dec12:00 pm1:00 pmPotential bias in RNA library preparation12:00 pm - 1:00 pm BTM - 9004 Lecturer: Zhiyun Wei Event Category:Others

18dec12:00 pm12:45 pmPath analysis and causal mediation analysis12:00 pm - 12:45 pm BTM - 9004 Lecturer: Joseph Locascio Event Category:Invited talk,Statistics and machine learning

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