Welcome to Hangzhou Vision Biotech Company!
杭州维讯生物科技有限公司欢迎您!
Designed by Admin on Oct. 10th, 2012
以现代生命科学为基础的生物技术,结合其它基础科学原理,伴随着环保节能、智能化理念的深入人心以及国际竞争的市场需求,开发研制基于动态图像处理的生物表型组学研究的成套先进设备已成为关键技术。各类高校、科研机构、相关应用单位对此类先进设备的渴求,必将形成一批新的生物技术产业群,从而带来一场新的产业革命。
As it is said that
The time is ripe to consider the value of phenomic level
efforts for several reasons. First, technologies for
high-throughput phenotyping are becoming increasingly
available. Second, conceptual, analytical and
bioinformatics approaches that enable the use of very
high-dimensional data are advancing rapidly. Third,
dynamic models that link phenomena across levels —
from genes to cells, to organs and through to the whole
organism — are in reach. Finally, in most cases, phenotypic
data continue to be the most powerful predictors
of important biological outcomes, such as fitness, disease
and mortality. Although analyses of genomic data have
been successful at uncovering biological phenomena,
they are — in most cases — supplementing rather than
supplanting phenotypic information.”
杭州维讯生物科技有限公司致力于与您一道推进生物表型组学、先进组培技术的相关研究!
References
Phenomics: the next challenge
VOL.11 | DECEMBER 2010 | Nature Reviews Genetics
A key goal of biology is to understand phenotypic characteristics, such as health,
disease and evolutionary fitness. Phenotypic variation is produced through a complex web
of interactions between genotype and environment, and such a ‘genotype – phenotype’
map is inaccessible without the detailed phenotypic data that allow these interactions
to be studied. […]
Read more
Dissecting the Phenotypic Components of Crop Plant Growth
and Drought Responses Based on High-Throughput
Image Analysis
VOL.26 | Dec 2014 | Plant Cell
Significantly improved crop varieties are urgently needed to feed the rapidly growing human population under changing
climates. While genome sequence information and excellent genomic tools are in place for major crop species, the
systematic quantification of phenotypic traits or components thereof in a high-throughput fashion remains an enormous
challenge. In order to help bridge the genotype to phenotype gap, we developed a comprehensive framework for highthroughput
phenotype data analysis in plants, which enables the extraction of an extensive list of phenotypic traits from
nondestructive plant imaging over time. […]
Read more