The Henry Edwin Sever Graduate
نویسنده
چکیده
HIGH PERFORMANCE PACKET CLASSIFICATION by Edward W. Spitznagel ADVISOR: Professor Jonathan S. Turner
منابع مشابه
The Henry Edwin Sever Graduate School Department of Computer Science and Engineering Acceleration of Profile-hmm Search for Protein Sequences in Reconfigurable Hardware
Profile Hidden Markov models are highly expressive representations of functional units, or motifs, conserved across protein sequences. Profile-HMM search is a powerful computational technique that is used to annotate new sequences by identifying occurrences of known motifs in them. With the exponential growth of protein databases, there is an increasing demand for acceleration of such technique...
متن کاملA view-based deformation tool-kit, Master's Thesis, August 2006
Camera manipulation is a hard problem since a graphics camera is defined by specifying 11 independent parameters. Manipulating such a high-dimensional space to accomplish specific tasks is difficult and requires a certain amount of expertise. We present an intuitive interface that allows novice users to perform camera operations in terms of the change they want see in the image. In addition to ...
متن کاملDesign and Evaluation of a BLAST Ungapped Extension Accelerator, Master's Thesis
The amount of biosequence data being produced each year is growing exponentially. Extracting useful information from this massive amount of data is becoming an increasingly difficult task. This thesis focuses on accelerating the most widely-used software tool for analyzing genomic data, BLAST. This thesis presents Mercury BLAST, a novel method for accelerating searches through massive DNA datab...
متن کاملDesign and analysis of an accelerated seed generation stage for BLASTP on the Mercury
NCBI BLASTP is a popular sequence analysis tool used to study the evolutionary relationship between two protein sequences. Protein databases continue to grow exponentially as entire genomes of organisms are sequenced, making sequence analysis a computationally demanding task. For example, a search of the E. coli. k12 proteome against the GenBank Non-Redundant database takes 36 hours on a standa...
متن کاملAcceleration of Profile-HMM Search for Protein Sequences in Reconfigurable Hardware - Master's Thesis, May 2006
Profile Hidden Markov models are highly expressive representations of functional units, or motifs, conserved across protein sequences. Profile-HMM search is a powerful computational technique that is used to annotate new sequences by identifying occurrences of known motifs in them. With the exponential growth of protein databases, there is an increasing demand for acceleration of such technique...
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