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BIOLOGICAL SEQUENCE ANALYSIS FULL
BIOLOGICAL SEQUENCE ANALYSIS SOFTWARE

provide a simple interface for creating molecular models.

automate cyclic peptide analog creation, and.

track multiple jobs in real-time on a cluster,.

Among the most exciting advances are large-scale DNA sequencing efforts such as the Human Genome Project which are producing an immense amount of data.

automate competitive binding experiments, Biological sequence analysis Probabilistic models of proteins and nucleic acids The face of biology has been changed by the emergence of modem molecular genetics.

automate AutoDock job creation, submission, and management for high-throughput docking experiments,.

automate peptide-based ligand creation based on single-letter residue codes,.

I have collaborated with members of the Department of Chemistry and Biochemistry at Boise State University to gain valuable insight to improve existing methods.ĭockoMatic was developed to allow a user to invoke and manage large numbers of molecular binding calculations, linear and cyclic peptide analog structure creation, and molecular modeling experiments on a single computer or cluster.

BIOLOGICAL SEQUENCE ANALYSIS SOFTWARE

The second utility is DockoMatic, a multi-faceted software package offering the ability to run high-throughput experiments, structure creation, and molecular dock- ing. This application is robust in its abilities, finding the frequency of all sequences of a given length, in a reasonable time frame, determined by the length and the amount of input data, storing the results in an efficient manner, and providing a mechanism for quick and easy retrieval of such data. The algorithms I have developed in CseqStat help speed up processing large amounts of sequencing data for nucleotides and proteins in the NCBI database. One is CseqStat, which processes and gathers statistical data from large repositories of genome sequence data. The work completed here assists the field of Bioinformatics with two software packages for biological sequence data analysis.

BIOLOGICAL SEQUENCE ANALYSIS FULL

The average chemist or biologist is not well-versed in Computer Science principles nor command-line tools and involved scripting, and therefore finds it difficult to realize the full potential of tools that are available to them. These tools are typically command-line driven, have a steep learning curve, and generally must be used in conjunction with other programs to extract the desired information. A number of valuable software tools are available for modeling and predicting the properties of biological sequences in Computational Chemistry, including molecular docking, and homology modeling. Secondly, Biological Sequence Search enables the production of artificially engineered or recombinant nucleic acids (DNA, RNA) and proteins (enzymes, hormones. In addition to analyzing the statistical properties of biological sequences, it is also important to model and understand their chemical and physical properties.

Tools have been created to do this, but they have generally been limited by speed or robustness. Collecting, sorting, and analyzing statistical information for DNA and protein sequences is difficult due to the sheer amount of available data. Bioinformatics is a broad realm of research in which Computer Science has much to offer.