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Figure 6 from Electrostatic and Functional Analysis of the Seven-Bladed WD ß-Propellers Published in Evolutionary Bioinformatics
Wellcome Trust Sanger Institute and European Bioinformatics Institute top list of most influential UK research
From left are: Jorge Andrade, PhD, director of Bioinformatics; Wenjun Kang, scientific programmer; Jianpeng Xu, PhD; Riyue Bao, PhD; Chunling Zhang, PhD; and Lei Huang, PhD, all bioformaticians, in the Knapp Center Monday, Sept. 16, 2013, at the University of Chicago. (Photo by Robert Kozloff)
It has been a busy term for the 49Women in Science Committee, which was formed five years ago after identifying the need for supports and guidance for young women pursuing a career in STEM. Our fall 2022 student event was held on-campus on October 13. Students had the privilege of listening to guest speaker Dr. Fiona Brinkman, SFU professor in Bioinformatics and head of the Brinkman Lab. She shared her educational and career journey, inspiring those in attendance with what is possible.
Christopher L. Barrett, Executive Director, Virginia Bioinformatics Institute/Professor of Computer Science, Virginia Tech. Dr. Barrett’s talk entitled “Massively Interactive Systems: Thinking and Deciding in the Age of Big Data"
Abstract: This talk discusses advanced computationally assisted reasoning about large interaction-dominated systems. Current questions in science, from the biochemical foundations of life to the scale of the world economy, involve details of huge numbers and levels of intricate interactions. Subtle indirect causal connections and vastly extended definitions of system boundaries dominate the immediate future of scientific research. Beyond sheer numbers of details and interactions, the systems are variously layered and structured in ways perhaps best described as networks. Interactions include, and often co-create, these morphological and dynamical features, which can interact in their own right. Such “massively interacting” systems are characterized by, among other things, large amounts of data and branching behaviors. Although the amount of associated data is large, the systems do not even begin to explore their entire phase spaces. Their study is characterized by advanced computational methods. Major methodological revisions seem to be indicated.
Heretofore unavailable and rapidly growing basic source data and increasingly powerful computing resources drive complex system science toward unprecedented detail and scale. There is no obvious reason for this direction in science to change. The cost of acquiring data has historically dominated scientific costs and shaped the research environment in terms of approaches and even questions. In the several years, as the costs of social data, biological data and physical data have plummeted on a per-unit basis and as the volume of data is growing exponentially, the cost drivers for scientific research have clearly shifted from data generation to storage and analytical computation-based methods. The research environment is rapidly being reshaped by this change and, in particular, the social and bio–sciences are revolutionized by it. Moreover, the study of socially– and biologically–coupled systems (e.g., societal infrastructures and infectious disease public health policy analysis) is in flux as computation-based methods begin to greatly expand the scope of traditional problems in revolutionary ways.
How does this situation serve to guide the development of “information portal technology” for complex system science and for decision support? An example of an approach to detailed computational analysis of social and behavioral interaction with physical and infrastructure effects in the immediate aftermath of a devastating disaster will be described in this context.
I guess my PowerBook is going to be world famous now... or atleast among all the bioinformatics scientists who hopefully will come to know this product!
The pro photographer is Sanne Berg - check her pictures out at www.sanneberg.dk
This is a picture of me and my friend Deb wishing Dr. James Watson a happy 80th birthday at the Cold Spring Harbors Laboratory Biology of Genomes meeting 5/8/08.
That's Dr. Watson as in Watson and Crick (DNA structure).
Ms Tan Le (BCom(Hons), LLB(Hons) 2000) is founder and CEO of Emotiv Lifesciences, a bioinformatics company focused on identifying biomarkers in the brain for mental and other neurological conditions using electroencephalography. She is a technology entrepreneur, business executive and sought-after speaker.
Photo credit: Greg Ford / Monash University
the sequence of this DNA (Deoxyribonucleic Acid) is as follows:
AAAAAAAAAA
TTTTTTTTTTT
It's one of the most elementary sequences.
Christopher L. Barrett, Executive Director, Virginia Bioinformatics Institute/Professor of Computer Science, Virginia Tech. Dr. Barrett’s talk entitled “Massively Interactive Systems: Thinking and Deciding in the Age of Big Data"
Abstract: This talk discusses advanced computationally assisted reasoning about large interaction-dominated systems. Current questions in science, from the biochemical foundations of life to the scale of the world economy, involve details of huge numbers and levels of intricate interactions. Subtle indirect causal connections and vastly extended definitions of system boundaries dominate the immediate future of scientific research. Beyond sheer numbers of details and interactions, the systems are variously layered and structured in ways perhaps best described as networks. Interactions include, and often co-create, these morphological and dynamical features, which can interact in their own right. Such “massively interacting” systems are characterized by, among other things, large amounts of data and branching behaviors. Although the amount of associated data is large, the systems do not even begin to explore their entire phase spaces. Their study is characterized by advanced computational methods. Major methodological revisions seem to be indicated.
Heretofore unavailable and rapidly growing basic source data and increasingly powerful computing resources drive complex system science toward unprecedented detail and scale. There is no obvious reason for this direction in science to change. The cost of acquiring data has historically dominated scientific costs and shaped the research environment in terms of approaches and even questions. In the several years, as the costs of social data, biological data and physical data have plummeted on a per-unit basis and as the volume of data is growing exponentially, the cost drivers for scientific research have clearly shifted from data generation to storage and analytical computation-based methods. The research environment is rapidly being reshaped by this change and, in particular, the social and bio–sciences are revolutionized by it. Moreover, the study of socially– and biologically–coupled systems (e.g., societal infrastructures and infectious disease public health policy analysis) is in flux as computation-based methods begin to greatly expand the scope of traditional problems in revolutionary ways.
How does this situation serve to guide the development of “information portal technology” for complex system science and for decision support? An example of an approach to detailed computational analysis of social and behavioral interaction with physical and infrastructure effects in the immediate aftermath of a devastating disaster will be described in this context.