Computer Science, Machine Learning, Language Technologies, Computational Biology | School of Computer Science | Carnegie Mellon

Baycis : a generalized, hierarchical HMM for transcription factor binding site discovery in Metazoan genomes

CSMET : a multi-resolution mixture of evolutionary tree approach to transcription factor binding site detection for aligned genomes in eukaryotes

IMM-PGE : IMM-PGE focuses on the development of accurate and automatic image analysis systems to facilitate efficient mining of complex temporal-spatial mRNA patterns, essential for functional genomics and regulatory network inference in higher organisms.

mStruct : A New Admixture Model for Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations

N/w modelling : Developing new statistical formalisms and computational methodologies for modeling and inference the semantic underpinnings of network entities, and investigating how these aspects influence the network topology and its temporal evolution during biological and sociological processes. It also studies a number of yet unexplored topics such as discriminative learning of network structures, recovering temporally evolving network sequences, and related theoretical issues.

SPECTRUM : SPECTRUM is a program for jointly inferring population structure and recombination events using multi-locus SNP haplotypes.


(C) SAILING Lab, 2008 Copyright of published papers held by publishing bodies in question