SNPNB: analyzing neighboring-nucleotide biases on single nucleotide polymorphisms (SNPs)
文献类型：期刊论文
| 作者 | Zhang FK2; Zhao ZM*1,2,3; zzhao@vcu.edu |
| 刊名 | BIOINFORMATICS
 |
| 出版日期 | 2005 |
| 卷号 | 21期号:10页码:2517-2519 |
| ISSN号 | 1367-4803 |
| 英文摘要 | SNPNB is a user-friendly and platform-independent application for analyzing Single Nucleotide Polymorphism NeighBoring sequence context and nucleotide bias patterns, and subsequently evaluating the effective SNP size for the bias patterns observed from the whole data. It was implemented by Java and Perl. SNPNB can efficiently handle genome-wide or chromosome-wide SNP data analysis in a PC or a workstation. It provides visualizations of the bias patterns for SNPs or each type of SNPs. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 资助机构 | This project was supported in part by a NARSAD Young Investigator Award. ; This project was supported in part by a NARSAD Young Investigator Award. ; This project was supported in part by a NARSAD Young Investigator Award. ; This project was supported in part by a NARSAD Young Investigator Award. |
| 公开日期 | 2010-08-24 |
| 源URL | [http://159.226.149.42:8088/handle/152453/5345]  |
| 专题 | 昆明动物研究所_其他 |
| 通讯作者 | zzhao@vcu.edu |
| 作者单位 | 1.Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2.Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298, USA 3.Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA 23284, USA |
| 推荐引用方式 GB/T 7714 | Zhang FK,Zhao ZM*,zzhao@vcu.edu. SNPNB: analyzing neighboring-nucleotide biases on single nucleotide polymorphisms (SNPs)[J]. BIOINFORMATICS,2005,21(10):2517-2519. |
| APA | Zhang FK,Zhao ZM*,&zzhao@vcu.edu.(2005).SNPNB: analyzing neighboring-nucleotide biases on single nucleotide polymorphisms (SNPs).BIOINFORMATICS,21(10),2517-2519. |
| MLA | Zhang FK,et al."SNPNB: analyzing neighboring-nucleotide biases on single nucleotide polymorphisms (SNPs)".BIOINFORMATICS 21.10(2005):2517-2519. |
入库方式： OAI收割
来源：昆明动物研究所
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