PSB is offering three three-hour workshops during the meeting (exact dates to be determined). These workshops were created to provide an opportunity for a gathering that will not be based on peer-reviewed papers included in the proceedings book. The workshops will consist of presentations by invited speakers. Abstract submissions for the workshops will be evaluated by the workshop co-chairs.
Emerging technologies such as single cell gene expression analysis and single cell genome sequencing provide an unprecedented opportunity to quantitatively probe biological interactions at the single cell level. This new level of insight has begun to reveal a more accurate picture of cellular behavior, and to highlight the importance of understanding cellular variation in a wide range of biological contexts. The aim of this workshop is to bring together researchers working on identifying and modeling cell heterogeneity that arises by a variety of mechanisms, including but not limited to cell-to-cell noise, cell-state switches and cell differentiation, heterogeneity in immune responses, cancer evolution, and heterogeneity in disease progression. We will welcome algorithms to process single-cell experimental data and to provide a system-level view of the interplay of diverse, fluctuating biological components.
Workshop Abstract Deadline: September 7, 2012 (extended deadline); submit online at https://www.easychair.org/conferences/?conf=psbmch2013
Notification: September 22, 2012
Workshop Date: January 3, 2013 1-4pm in Salon 2 & 3
Contact: Maricel Kann
Email: mkann at umbc dot edu
One of the primary challenges in making sense the dramatic increase in human genotype data is finding suitable phenotype information for correlational analyses. Until recently, such phenotype data was primarily derived from assays or measurements made in clinical or research laboratories. However, laboratory phenotyping is expensive and low-throughput, and a variety of promising alternatives have arisen, including: mining electronic medical records, analyzing data from social networks of patients, and the advent and increasing general adoption of inexpensive wearable sensors. However, the extent and complexity of the data produced involve significant new computational challenges.
Issues to be addressed at the workshop include: Description of the many new modalities, granularities and frequencies of phenotypic data collection; integration across modalities and with other (e.g. epidemiological) data types; analytical approaches; transformation of data to be effective for research use; sharing, openness, consent and other legal/ethical issues; and applications to individual and public health.
There has been unprecedented public investment in sequencing human and
cancer genomes in the hopes of understanding disease. At the same time,
large genome-wide association studies have helped elucidating the genetic
underpinning of common diseases, identifying thousands of putative disease
relevant loci. Complementary molecular profiling studies have revealed that
several of these loci are co-associated with individual mRNA levels,
suggesting candidate pathways that are putative mediators of genetic
In this workshop, we hope to address questions about how much genome sequencing has helped our understanding of the causal factors in disease and how much will these data change the way we treat disease in the clinic. Are genome clinics even realistic? If not, what other data will we need on individual patients before genome-based personalized medicine is possible?
Workshop Abstract Deadline: September 1, 2012
Submission Webpage: http://www.easychair.org/conferences/?conf=psbpm2013
Author Notification: September 15, 2012
Workshop Date: January 5, 2013 2:30-5:30pm in Salon 2 & 3