Suffix arrays: a new method for on-line string searches
SIAM Journal on Computing
Software architecture: perspectives on an emerging discipline
Software architecture: perspectives on an emerging discipline
Age of Spiritual Machines: When Computers Exceed Human Intelligence
Age of Spiritual Machines: When Computers Exceed Human Intelligence
Machine Learning
Linear-Time Longest-Common-Prefix Computation in Suffix Arrays and Its Applications
CPM '01 Proceedings of the 12th Annual Symposium on Combinatorial Pattern Matching
Proceedings of the 2004 ACM symposium on Applied computing
Context sensitive vocabulary and its application in protein secondary structure prediction
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Comparative n-gram analysis of whole-genome protein sequences
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Linear pattern matching algorithms
SWAT '73 Proceedings of the 14th Annual Symposium on Switching and Automata Theory (swat 1973)
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Computational biology and language
Ambient Intelligence for Scientific Discovery
Cognitive artifacts in complex work
Ambient Intelligence for Scientific Discovery
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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.