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机构地区:[1]Shandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University [2]State Key Laboratory of Bioelectronics, Southeast University [3]College of Life Science, Shandong Normal University [4]College of Physics and Electronic Information, Dezhou University
出 处:《Chinese Physics B》2015年第12期98-104,共7页中国物理B(英文版)
基 金:Project supported by the National Natural Science Foundation of China(Grant Nos.61302186 and 61271378);the Funding from the State Key Laboratory of Bioelectronics of Southeast University
摘 要:Agrobacterium tumefaciens strain C58 is a type of pathogen that can cause tumors in some dicotyledonous plants.Ever since the genome of A. tumefaciens strain C58 was sequenced, the quality of annotation of its protein-coding genes has been queried continually, because the annotation varies greatly among different databases. In this paper, the questionable hypothetical genes were re-predicted by integrating the TN curve and Z curve methods. As a result, 30 genes originally annotated as "hypothetical" were discriminated as being non-coding sequences. By testing the re-prediction program 10 times on data sets composed of the function-known genes, the mean accuracy of 99.99% and mean Matthews correlation coefficient value of 0.9999 were obtained. Further sequence analysis and COG analysis showed that the re-annotation results were very reliable. This work can provide an efficient tool and data resources for future studies of A. tumefaciens strain C58.Agrobacterium tumefaciens strain C58 is a type of pathogen that can cause tumors in some dicotyledonous plants.Ever since the genome of A. tumefaciens strain C58 was sequenced, the quality of annotation of its protein-coding genes has been queried continually, because the annotation varies greatly among different databases. In this paper, the questionable hypothetical genes were re-predicted by integrating the TN curve and Z curve methods. As a result, 30 genes originally annotated as "hypothetical" were discriminated as being non-coding sequences. By testing the re-prediction program 10 times on data sets composed of the function-known genes, the mean accuracy of 99.99% and mean Matthews correlation coefficient value of 0.9999 were obtained. Further sequence analysis and COG analysis showed that the re-annotation results were very reliable. This work can provide an efficient tool and data resources for future studies of A. tumefaciens strain C58.
关 键 词:Agrobacterium tumefaciens strain C58 protein-coding gene genome re-annotation graphical representation
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