Function SIG 2024 will be held on July 13-14

Function SIG Meetings:

Function-SIG 2024 will be held on July 12-13 2024 as part of ISMB 2024 in Montreal, Canada.

Accepting 2023 abstract submissions

Submit Abstracts

Important Dates:

   
   
   
   
   
   
 July 26-27, 2023 Function SIG meeting at ISMB/ECCB 2023

 

Function-SIG 2023 Keynote Speakers

Walter Reade
Data Scientist, Kaggle (a Google Company)
Speaker Bio: Walter is a Senior Developer Advocate at Google and the Data Science Technical Lead at Kaggle. After receiving a Ph.D. from The Pennsylvania State University in 1998, he spent 20 years in various research, manufacturing, and supply chain roles in the paper and consumer products industry before joining Kaggle in 2017. Walter has published peer-reviewed articles in a broad range of fields, and has 16 US patents in areas ranging from RFID technology to diaper dispensing.

 

 

Talk Title: Crowdsourcing (Data) Science on Kaggle

Yana Bromberg
Professor, Emory University USA
Speaker Bio: Dr. Yana Bromberg is a professor in the Departments of Biology and Computer Science at Emory University. Yana got her BSc/BEng in Biology and Computer Science from SUNY Stony Brook and her PhD in Biomedical Informatics from Columbia University. She is a fellow of the Institute for Advanced Study at the Technical University of Munich, Germany and a Director of the International Society for Computational Biology.

 The primary focus of Yana’s research is the concept of “function” in biology. Specifically, she is interested in understanding the origins and mechanisms of the molecular machinery that underpins life. She believes that machine learning (ML) holds great promise in deciphering these functional details. Accordingly, her long-term goal is to use the advances in ML and other computational techniques to gain a deeper understanding of how biological functionality is encoded in genomic data, whether on the level of individual genes, whole genomes, or metagenomes. 
The Bromberg lab is currently working on implementing machine learning-based models for understanding of protein functionality. Specifically, its members are interested in what function aspects (if any) are captured by protein language models, whether metagenome functionality and environmental preferenses can be inferred from sequencing reads, and how genome variants impact molecular function in association with disease.
 Talk Title: Learning from unpopular activities: can unknown functions guide exploration of microbiome environmental preferences?

Talks are sought in, but not limited to, the following topics:

  • Prediction of protein function from varied data such as sequence, structure, expression data
  • The evolution of function
  • The design of function
  • Incorporating computational function prediction into experimental workflows
  • The use of text mining and natural language processing in function prediction
  • The use of machine learning in protein function prediction
  • The representation of biological function by ontologies and other means
  • Data science as applied to protein function datasets
  • Research related to the Critical Assessment of Function Annotation (CAFA)

Programs from previous years

The Function-SIG meeting is funded by the International Society for Computational Biology
In the past, the Function-SIG meetings were funded, in part, by DBI-1458359 and DBI-1458477 from the US National Science Foundation. R13 HG006079 and R13 HG007807 from the US National Institute of Health, as well as US Department of Energy grant DE-SC0006807TDD.