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eQTL Analysis of Plant

INQUIRY

INTRODUCTIONS

eQTL Analysis

The full name of eQTL is expression quantitative trait Loci. its specific principle is to use the expression data of each genotype from a segregated population as a quantitative trait to study the correlation between genetic mutations and gene expression. The essence of eQTL data analysis is linkage analysis based on family populations or whole-genome association analysis based on natural populations, using gene expression information (RNA expression abundance detected by transcriptome) as the phenotype to carry out the correlation between gene expression and genotype sexual analysis. Through eQTL analysis, we can analyze the regulatory relationship of gene (DNA) mutations on gene expression, and further analyze the regulatory mechanism of complex traits from the perspective of gene mutation→gene expression→character change. The application in agricultural molecular breeding is mainly to study the regulation mechanism of various quantitative traits of crops.

SERVICES

With years of rich experience, Lifeasible provides eQTL analysis service. We provide a one-stop service model. We complete a series of processes from sample extraction, quality testing, sequencing, biological information analysis to making reports.

Workflow of eQTL analysis service

Workflow of eQTL analysis service

Analysis content

  • Standard analysis

Variation (SNP) detection

Expression detection

eQTL analysis

  • Advanced analysis

Statistics of eQTL and target genes

cis/trans QTL classification and statistics

Functional enrichment analysis of eQTL locus-related genes

eQTL hot spot analysis

  • Personality analysis

Specific types of eQTL analysis (such as splicing eQTL, response eQTL)

Comparison of different eQTL networks

Analysis of the upstream and downstream of key eQTL loci

Comparison of eQTL SNP and phenotype GWAS SNP

Sample requirements

  • Whole genome resequencing

DNA concentration≥30ng/ul, total amount≥6μg, OD260/280=1.8~2.0

  • Transcriptome sequencing

Subject to the corresponding transcriptome sequencing requirements

  • The recommended sample size is greater than 300

Project cycle

  • The entire project generally takes about 2.5 months. The specific completion time depends on the specific scale of the project (number of samples and number of phenotype types).

Feedback to customers

  • Raw data
  • A project report includes experimental process, instrument parameters, analysis methods and results, etc.

Service process

Service process

ADVANTAGES

  • eQTL analysis uses the advanced illumina sequencing platform to quickly and efficiently read high-quality sequencing data.
  • Lifeasible has a high-performance computing platform (HPC) that uses an efficient combination of DELL computing nodes and Isilon storage to achieve fast and stable sequencing data analysis and delivery.
  • Our experienced researchers help you with scientific plan design.
  • Personalized customized package service.

※ For research or industrial use.

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