Christina Curtis, Stanford University
Barbara Engelhardt, Princeton University
Jeff Leek, Johns Hopkins University
Michael Schatz, Cold Spring Harbor Laboratory
We are pleased to announce the third meeting on Biological Data Science, which will begin on Wednesday, November 7 at 7:30 p.m. and conclude with lunch on Saturday, November 10, 2018. The scope of this meeting will be the infrastructure, software, and algorithms needed to analyze large data sets in biological research. We welcome abstracts from researchers in both academia and industry who work on technical aspects of the discussion topics in all areas of biology, from genomics to imaging. We also welcome abstracts from translational and clinical researchers who regularly mine large data sets as part of their projects. The goal is to assemble a multidisciplinary audience that will discuss best practices, identify challenges, and highlight successes in the analysis of large biological data sets.
Abstracts are welcome for consideration as poster and platform presentations and should contain new and unpublished material. Status of abstracts (talk versus poster) will be posted on our Web site as soon as decisions have been made by the organizers.
We are eager to have as many young scientists as possible attend since they are likely to benefit most from this meeting. We will be applying for funds from government and industry to partially support graduate students and postdoctoral fellows. Please apply in writing to Heather Johnson stating your need for financial support. Preference will be given to those submitting abstracts.
We look forward to seeing you at Cold Spring Harbor Laboratory in November.
Academic Package $tba
Graduate/PhD Student Package $tba
Corporate Package $tba
Academic/Student No-Housing Package $tba
Corporate No-Housing Package $tba
Regular packages are all-inclusive and cover registration, food, housing, parking, a wine-and-cheese party, cocktail reception, and lobster banquet. No-Housing packages include all costs except housing. Full payment is due four weeks prior to the meeting.