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中国生物工程杂志

China Biotechnology
China Biotechnology  2017, Vol. 37 Issue (2): 93-100    DOI: 10.13523/j.cb.20170214
    
An Analysis Tool Based on E-index Method for Differentiating Complex Traits
SUN Jian-feng1, WANG Jian-xin1,2
1. School of Information, Beijing Forestry University, Beijing 100083, China;
2. Center for Computational Biology, Beijing Forestry University, Beijing 100083, China
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Abstract  

Currently, there are enormous challenges for the research on differentiating complex traits in the field of biogenetics, and many methods are employed to tackle these challenges, among which molecular marker, QTL mapping and sequence analysis are useful in targeting controlling genes for complex traits and thus serve as main coping strategies. To differentiate complex traits is of great importance for biodiversity research and studying genes, and is a key approach to understand the underlying mechanism of gene controlling. The existing methods, however, are not mature and perfect, which therefore have brought much difficulty in effectively differentiating complex traits in the field of biogenetics. Since complex traits can be effectively described as growth curves, methods based on growth curves in recent years are common way to differentiate complex traits, among which functional mapping (FM) is a representative method. although FM method has been one of the best approaches for differentiating complex traits over the past decade, it has been so far confined to deal with those where growth curve is monotonic. Earliness index (E-index) method emerges as required and successfully solves the non-monotonicity situation. Moreover, it is able to deal with any type of biological complex developmental process. Based on the principle of E-index, E-index application (EIA) analysis tool was developed, which provides a good platform for potential genetic researchers and scientists, helping them in several aspects, including data acquisition, drawing growth curves by dynamic data visualization technology, data processing and result retrieval. Results from simulation experiments show that EIA analysis tool is efficient, real-time and accurate, being a powerful tool to differentiate complex traits.



Key wordsE-index      Biological visualization      Complex traits      Growth curve      EIA analysis tool     
Received: 26 August 2016      Published: 25 February 2017
ZTFLH:  Q819  
Cite this article:

SUN Jian-feng, WANG Jian-xin. An Analysis Tool Based on E-index Method for Differentiating Complex Traits. China Biotechnology, 2017, 37(2): 93-100.

URL:

https://manu60.magtech.com.cn/biotech/10.13523/j.cb.20170214     OR     https://manu60.magtech.com.cn/biotech/Y2017/V37/I2/93

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