ISCAS OpenIR
a new approximation algorithm for the k-facility location problem
Zhang Peng
2007
SourceTHEORETICAL COMPUTER SCIENCE
ISSN0304-3975
Volume384Issue:1Pages:126-135
Indexed Typecnki ; ei ; sci ; sciencedirect
Abstract为完善小麦遗传图谱并对小麦主要品质性状进行QTL定位,以小麦京771和Pm97034及其173个后代重组自交系(RIL)为作图群体,利用906对SSR引物筛选出RIL群体双亲表现多态性的引物270对,多态性频率为29.8%。利用这270对引物对RIL群体进行分析,共检测到184个多态性标记位点,利用其中的129个标记构建小麦分子的遗传连锁图谱。用Mapmaker 3.0和Mapdraw V2.1软件将129个SSR位点绘在小麦遗传连锁图上,该图谱覆盖小麦基因组全长2 106.2 cM,标记间的平均遗传距离
Keyword小麦,重组自交系群体,Ssr标记,连锁图谱,多态性facility Location K-median Local Search Approximation Algorithm
DepartmentChinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100080, Peoples R China. Grad Univ Chinese Acad Sci, Beijing, Peoples R China.
SubjectComputer Science, Theory & Methods
Language英语
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/11222
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Zhang Peng. a new approximation algorithm for the k-facility location problem[J]. THEORETICAL COMPUTER SCIENCE,2007,384(1):126-135.
APA Zhang Peng.(2007).a new approximation algorithm for the k-facility location problem.THEORETICAL COMPUTER SCIENCE,384(1),126-135.
MLA Zhang Peng."a new approximation algorithm for the k-facility location problem".THEORETICAL COMPUTER SCIENCE 384.1(2007):126-135.
Files in This Item:
File Name/Size DocType Version Access License
a new approximation (501KB) 开放获取--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang Peng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang Peng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang Peng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.