The current COVID-19 situation is challenging and difficult for all of us - we hope this virtual conference will allow colleagues to share and discuss their latest research, while under travel and stay-at-home restrictions.
The fourth meeting on Biological Data Science is going fully virtual and will begin late morning EST on Wednesday, November 4 and conclude late afternoon EST on Friday, November 6, 2020. Oral sessions will be confined to later morning and afternoon sessions EST to maximize access by participants from around the world. An outline program will be posted following further discussion with the organizers.
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.
- Single Cell
- Personalized Medicine and Biomarkers
- Machine Learning
- Tools, Infrastructure, and Visualization
Discussion Leaders (to be reconfirmed):
Richard Bonneau, NYU
Christina Boucher, University of Florida
Kieran Campbell, Lunenfeld-Tanenbaum Research Institute, Canada
Mark Gerstein, Yale University
Katherine Heller, Duke University
Stephanie Hicks, Johns Hopkins University
Ian Holmes, UC Berkeley
Anna Kreshuk, EMBL Heidelberg, Germany
Heng Li, Dana-Farber Cancer Institute
Maria Nattestad, Google Health
Sandra Safo, University of Minnesota
Oliver Stegle, EMBL-European Bioinformatics Institute, United Kingdom
Abstracts are welcome for consideration as poster and platform presentations and should contain new and unpublished material.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.
All questions pertaining to registration, fees, abstract submission or any other matters may be directed to Catie Carr at firstname.lastname@example.org.
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 Catie Carr at email@example.com stating your need for financial support. Preference will be given to those submitting abstracts.
Partial Support for this meeting is provided by:
The designated hashtag for this meeting is #biodata20. Note that you must obtain permission from an individual presenter before live-tweeting or discussing his/her talk, poster, or research results on social media. Click the Policies tab above to see our full Confidentiality & Reporting Policy.
Virtual Academic Package: $240
Virtual Graduate Student Package: $145
Virtual Corporate Package: $360
Lab Group Discounts (not departmental or institutional discounts)
Labs registering 4 people: 20% discount off applicable fees
Labs registering 5 people: 25% discount off applicable fees
Labs registering 6 people: 30% discount off applicable fees
To be eligible for lab group discounts, please submit a list of lab members planning to attend in advance of registration to Catie Carr to establish appropriate discounted fees. Please include a link to your lab web page for verification purposes. Prior payments will be included in the group discount calculation.
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.