Statistical methods of comparative genomic analysis based on diffusion processes

被引:0
|
作者
Soldatov R.A. [1 ]
Mironov A.A. [1 ,2 ]
机构
[1] Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow
[2] Faculty of Bioengineering and Bioinformatics, Moscow State University, Moscow
关键词
comparative genomics; diffusion process; molecular evolution; phenotype; selection;
D O I
10.1134/S0006350913020206
中图分类号
学科分类号
摘要
Comparative genomics is a powerful tool of genome functional specificity predictions and investigation of evolution specificity. Background of a large field of bioinformatics investigations is a computation of different scores of sequences and comparing them with a threshold. Comparative genomic analysis involves scores comparing for orthological groups of genetic objects. In this paper we represent a statistical approach to comparative genomic analysis, that based on investigation of diffusion in sequence space determined by neutral evolution of sequences. Using this approach we represent several statistics for selection pressure estimation and analyze statistics for several biological problems. We formulate technology of statistics applying to obtain new biological information. This approach is represented as Java-class library. © 2013 Pleiades Publishing, Ltd.
引用
下载
收藏
页码:142 / 147
页数:5
相关论文
共 50 条
  • [41] COMPARISON OF WHOLE GENOME AMPLIFICATION METHODS FOR FURTHER QUANTITATIVE ANALYSIS WITH MICROARRAY-BASED COMPARATIVE GENOMIC HYBRIDIZATION
    Lee, Yun-Shien
    Tsai, Chi-Neu
    Tsai, Chia-Lung
    Chang, Shuenn-Dyh
    Hsueh, Ding-Wei
    Liu, Chun-Ting
    Ma, Chung-Chun
    Lin, Seng-Hsuan
    Wang, Tzu-Hao
    Wang, Hsin-Shih
    TAIWANESE JOURNAL OF OBSTETRICS & GYNECOLOGY, 2008, 47 (01): : 32 - 41
  • [42] Weld Diffusion Analysis of Forming Bimetallic Components Using Statistical Experimental Methods
    Kong, Ting-Fai
    Chan, Luen-Chow
    Lee, Tai-Chui
    MATERIALS AND MANUFACTURING PROCESSES, 2009, 24 (04) : 422 - 430
  • [43] The Analysis for Gait Energy Image based on Statistical Methods
    Abd Rahman, Siti Zaharah
    Abdullah, Siti Norul Huda Sheikh
    Nazri, Mohd Zakree Bin Ahmad
    2016 INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL, ELECTRONIC AND SYSTEMS ENGINEERING (ICAEES), 2016, : 125 - 128
  • [44] Introduction to statistical analysis: Regression based methods and applications
    Arnesen, Sveinung
    TIDSSKRIFT FOR SAMFUNNSFORSKNING, 2014, 55 (03): : 377 - 379
  • [45] Multiple sample analysis of microarray based comparative genomic hybridization
    Guttman, Mitchell
    Mies, Carolyn
    Dudycz-Sulicz, Katarzyna
    Baldwin, Don
    Grant, Gregory R.
    CANCER RESEARCH, 2006, 66 (08)
  • [46] A comparison of statistical methods for genomic selection in a mice population
    Haroldo HR Neves
    Roberto Carvalheiro
    Sandra A Queiroz
    BMC Genetics, 13
  • [47] A comparison of statistical methods for genomic selection in a mice population
    Neves, Haroldo H. R.
    Carvalheiro, Roberto
    Queiroz, Sandra A.
    BMC GENETICS, 2012, 13
  • [48] Comparison of Statistical Methods to Classify Environmental Genomic Fragments
    Rosen, Gail L.
    Essinger, Steven D.
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2010, 9 (04) : 310 - 316
  • [49] An Uncertainty-Based Regional Comparative Analysis on the Performance of Different Bias Correction Methods in Statistical Downscaling of Precipitation
    Reyhaneh Rahimi
    Hassan Tavakol-Davani
    Mohsen Nasseri
    Water Resources Management, 2021, 35 : 2503 - 2518
  • [50] STATISTICAL-ANALYSIS OF THE VARIATION OF THE OXYGEN CONCENTRATION IN A RIVER BY MEANS OF DIFFUSION-PROCESSES
    SORENSEN, M
    STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1985, 19 (01) : 61 - 61