Show simple item record

dc.contributor.advisorFang, Jianwen
dc.contributor.authorTai, David
dc.date.accessioned2012-06-03T13:43:10Z
dc.date.available2012-06-03T13:43:10Z
dc.date.issued2011-12-31
dc.date.submitted2011
dc.identifier.otherhttp://dissertations.umi.com/ku:11885
dc.identifier.urihttp://hdl.handle.net/1808/9705
dc.description.abstractHigh Throughput Screening for is a valuable data generation technique for data driven knowledge discovery. Because the rate of data generation is so great, it is a challenge to cope with the demands of post experiment data analysis. This thesis presents three software solutions that I implemented in an attempt to alleviate this problem. The first is K-Screen, a Laboratory Information Management System designed to handle and visualize large High Throughput Screening datasets. K-Screen is being successfully used by the University of Kansas High Throughput Screening Laboratory to better organize and visualize their data. The next two algorithms are designed to accelerate the search times for chemical similarity searches using 1-dimensional fingerprints. The first algorithm balances information content in bit strings to attempt to find more optimal ordering and segmentation patterns for chemical fingerprints. The second algorithm eliminates redundant pruning calculations for large batch chemical similarity searches and shows a 250% improvement for the fastest current fingerprint search algorithm for large batch queries.
dc.format.extent73 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
dc.subjectBioinformatics
dc.subjectBiochemistry
dc.subjectMedicine
dc.subjectBit string
dc.subjectDrug discovery
dc.subjectFingerprint
dc.subjectHigh throughput screening
dc.subjectSimilarity search
dc.subjectTanimoto
dc.titleSoftware for supporting large scale data processing for High Throughput Screening
dc.typeThesis
dc.contributor.cmtememberHuan, Jun
dc.contributor.cmtememberPotetz, Brian
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelM.E.
kusw.oastatusna
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record