TY - GEN
T1 - Collaborative discovery through biological language modeling interface
AU - Ganapathiraju, Madhavi
AU - Manoharan, Vijayalaxmi
AU - Reddy, Raj
AU - Klein-Seetharaman, Judith
N1 - Funding Information:
The work described here was in part supported by NSF grants 0225656, 0225636 and CAREER CC044917, NIH - NLM grant 1R01LM007994 and the Sofya Kovalevskaya Prize from the Humboldt - Foundation / Zukunftsinvestitionsprogramm der Bundesregierung Deutschland.
PY - 2006
Y1 - 2006
N2 - Scientific progress is exponentially increasing, and a typical example is the progress in the area of computational biology. Here, problems pertaining to biology and biochemistry are being solved by way of analogy through the application of computational theories from physics, mathematics, statistical mechanics, material science and computer science. More recently, theories from language processing have been applied to the mapping of protein sequences to their structure, dynamics and function under the Biological Language Modeling project. Scientists from diverse computational and linguistics backgrounds collaborate with experimental biologists and have made significant scientific contributions. The essential component of this collaborative discovery is the web server of the biological language modeling toolkit that enables the computational and non-computational scientists to interface and collaborate with each other. The web server acts as the computational laboratory to which researchers from a variety of scientific disciplines and geographical locations come to characterize specific attributes pertaining to their protein or groups of proteins of interest using the available tools. They then combine the results with their domain expertise to arrive at conclusions. The web server is also useful for education of students entering into the research field in computational biology in general. In this paper, we describe this web server and the results that were arrived at through local and global collaboration and education.
AB - Scientific progress is exponentially increasing, and a typical example is the progress in the area of computational biology. Here, problems pertaining to biology and biochemistry are being solved by way of analogy through the application of computational theories from physics, mathematics, statistical mechanics, material science and computer science. More recently, theories from language processing have been applied to the mapping of protein sequences to their structure, dynamics and function under the Biological Language Modeling project. Scientists from diverse computational and linguistics backgrounds collaborate with experimental biologists and have made significant scientific contributions. The essential component of this collaborative discovery is the web server of the biological language modeling toolkit that enables the computational and non-computational scientists to interface and collaborate with each other. The web server acts as the computational laboratory to which researchers from a variety of scientific disciplines and geographical locations come to characterize specific attributes pertaining to their protein or groups of proteins of interest using the available tools. They then combine the results with their domain expertise to arrive at conclusions. The web server is also useful for education of students entering into the research field in computational biology in general. In this paper, we describe this web server and the results that were arrived at through local and global collaboration and education.
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U2 - 10.1007/11825890_15
DO - 10.1007/11825890_15
M3 - Conference contribution
AN - SCOPUS:49949094075
SN - 3540377859
SN - 9783540377856
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 300
EP - 321
BT - Ambient Intelligence in Everyday Life
T2 - Workshop of Ambient Intelligence in Everyday Life Workshop
Y2 - 21 July 2005 through 22 July 2005
ER -