<p> Advances in sequencing technology have resulted in the sequencing of whole genomes from many simple organisms such as fungi and bacteria, while allowing the assembly of much more complex genomes like humans and chimpanzees. Consequently, association of segments of newly sequenced genomes to specific function (i.e. annotation) is being completed by comparative study of protein coding regions from previously annotated genome data. While this is an ideal procedure to process and annotate huge number of available genomic sequences, this approach can potentially lead to propagating erroneous annotation in a public sequence repository and vastly diminish the integrity of these new annotation of genome sequences. In this project, the WRongly Annotated Protein identification System (WRAPS) has been created to analyze previously annotated proteins quickly and efficiently. The likeliness that the protein is correctly annotated is determined by weighted scoring schema based on conservation of protein domain, the domains present in different reading frames, and isoelectric point. A study of 88,023 proteins of Yersinia, Staphylococcus, and Bacillus using WRAPS show that there are several proteins that can be considered wrongly annotated, as well as the correctness of annotation among these proteins. </p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:1536042 |
| Date | 21 May 2013 |
| Creators | Nelson, Benjamin K. |
| Publisher | University of Nebraska at Omaha |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
Page generated in 0.0019 seconds