Probabilistic Modeling In Genomics
April 14 - 16, 2021 Virtual
Abstract Deadline: February 12, 2021
Andrew Kern, University of Oregon
Sohini Ramachandran, Brown University
Adam Siepel, Cold Spring Harbor Laboratory
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 third Cold Spring Harbor conference on Probabilistic Modeling in Genomics (part of the international series of meetings now in its 7th year) is going fully virtual and will commence mid morning (EDT) on Wednesday April 14 and conclude late afternoon (EDT) on Friday April 16, 2021.
- Population Genetics I: Mutation, Recombination & Demography Inference
- Transcriptomics and Epigenomics
- Applications to Cancer and other Diseases
- Quantitative Genetics and Association Mapping
- Machine Learning in Genomics
- Population Genetics II: Natural Selection
, Microsoft Research New England
, Broad Institute
, Brown University
, Laboratoire de Recherche en Informatique, France
, Weill Cornell Medicine
, Cold Spring Harbor Laboratory
, Stanford University
, University of Utah
, Columbia University & New York Genome Center
, Haverford College
, University of Copenhagen, Denmark
, University of North Carolina
Abstracts are welcome for consideration as poster and platform presentations and should contain new and unpublished material.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 Catie Carr stating your need for financial support. Preference will be given to those submitting abstracts.
Virtual Academic Package: $255Lab Group Discounts
Virtual Graduate/PhD Student Package: $150
Virtual Corporate Package: $375
(not departmental or institutional discounts):
Labs registering 4 people:
20% discount off applicable fees
Labs registering 5 people:
Labs registering 6 people:
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.
The designated hashtag for this meeting is #probgen21. 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.