Title:
Identifying a Type of Genetic Code in an Anonymous, Prokaryotic DNA Sequence
Identifying a Type of Genetic Code in an Anonymous, Prokaryotic DNA Sequence
| dc.contributor.author | Pfennig, Aaron | |
| dc.contributor.author | Lomsadze, Alexander | |
| dc.contributor.author | Borodovsky, Mark | |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for Career Discovery and Development | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Office of Graduate Studies | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Office of the Vice Provost for Graduate Education and Faculty Development | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Student Government Association | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Biological Sciences | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Computational Science and Engineering | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Department of Biomedical Engineering | en_US |
| dc.date.accessioned | 2020-02-03T20:39:04Z | |
| dc.date.available | 2020-02-03T20:39:04Z | |
| dc.date.issued | 2020-01 | |
| dc.description | Presented at the Georgia Tech Career, Research, and Innovation Development Conference (CRIDC), January 27-28, 2020, Georgia Tech Global Learning Center, Atlanta, GA. | en_US |
| dc.description | The Career, Research, and Innovation Development Conference (CRIDC) is designed to equip on-campus and online graduate students with tools and knowledge to thrive in an ever-changing job market. | en_US |
| dc.description | Aaron Pfennig is with the School of Biological Sciences; Alexander Lomsadze is with the Department of Biomedical Engineering; and Mark Borodovsky is with the School of Computational Science and Engineering, School of Biological Sciences, and Department of Biomedical Engineeringm at Georgia Institute of Technology. | en_US |
| dc.description.abstract | Here we present an ab-initio approach for predicting the genetic code of an anonymous prokaryotic DNA sequence. To the best of our knowledge it is the first tool of such kind. In times of metagenomics more and more non-cultivable species are sequenced coming with an increasing number of discoveries of alternations of the canonical genetic code. The Genetic Code Detector (GCD) delineated below is capable of identifying the genetic code of complete genomes with a sensitivity and specificity of 1.0. Furthermore, it performs well on contigs as small as 10Kbp with a specificity of 0.99 and a sensitivity of 0.92. Recently, the class of crAssphage has been discovered which show two different genetic codes. Hence, it is of interest to predict the position in the genome where the genetic codes changes. The presented GCD is capable to predict the switching point with a mean error of 0.53 genes and a standard deviation of 6.47 genes. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/62412 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.relation.ispartofseries | CRIDC | |
| dc.subject | Gene prediction | en_US |
| dc.subject | GeneMark | en_US |
| dc.subject | Genetic code detector | en_US |
| dc.title | Identifying a Type of Genetic Code in an Anonymous, Prokaryotic DNA Sequence | en_US |
| dc.type | Text | |
| dc.type.genre | Poster | |
| dspace.entity.type | Publication | |
| local.contributor.author | Borodovsky, Mark | |
| local.contributor.corporatename | Office of Graduate Education | |
| local.relation.ispartofseries | Career, Research, and Innovation Development Conference | |
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| relation.isOrgUnitOfPublication | d9390dfc-6e95-4e95-b14b-d1812f375040 | |
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