Genetic Map Analysis

Genetic Map Analysis Online Inquiry

A provider of genetic map analysis, CD Genomics uses bioinformatics to help you accurately build linked genetic maps. Our unique skill in data analysis will exceed clients' personalized data analysis expectations and provide the most easy-to-interpret analysis reports.

Introduction to Genetic Map Analysis

A genetic map (also known as a linkage map ) is a table for a species or experimental population that shows the position of its known genes or genetic markers relative to each other in terms of recombination frequency, rather than a specific physical distance along each chromosome.

The basic principle of genetic map construction is to determine the relative order and distance of markers (also known as map distance) by calculating the recombination rate between markers. The mapping population is genotyped and a genetic map is constructed by simplifying the genome (RAD or GBS.). Genomic scaffolds sorting and QTL analysis are performed based on high-quality genetic maps.

Drosophila melanogaster genetic linkage map. Fig 1. Drosophila melanogaster genetic linkage map.

Application of Genetic Map Analysis

1.QTL positioning analysis: determine the position of each quantitative trait locus on the chromosome, effect and the interaction between each QTL.
2.Assisted genome assembly: through a genetic map with sequence information, the assembled scaffold is linked and located on the chromosome to obtain a fine map of the genome.
3.Molecular marker-assisted breeding: Obtain a marker closely linked to the trait, design primers based on the marker sequence, and apply it directly to trait screening in the population.
4.Comparative genomics research: using the macroscopic collinearity of markers on genetic maps, the collinearity of chromosomes or fragments among different species can be revealed, and the genome structure and evolution of related species are analyzed.

Advantages

QTL-Seq shows much higher efficiency than traditional QTL mapping, which is typically time-consuming and involves labor-intensive genotyping and maintenance of the mapping populations.

Not all individuals in the population need to be genotyped, but only mixed analysis of selected individuals according to traits, which can greatly reduce the workload and cost of research.

CD Genomics Genetic Map Analysis Pipeline

The type of original input data can be Whole Genome Sequencing data (WGS) or Reduced-Representation Genome Sequencing data (RRGS).

CD Genomics Genetic Map Analysis Pipeline - CD Genomics.

Bioinformatics Analysis Content

Different input data types (Whole Genome Sequencing data or Reduced-Representation Genome Sequencing data) with different analysis contents.

Whole Genome Sequencing data

Quality control of sequencing data

Map to reference genome

Population SNP detection and annotation

Polymorphic tag development

Genetic map construction and quality evaluation

Reduced-Representation Genome Sequencing data

Quality control of sequencing data

Map to reference genome (with reference genome)
Align to tag clustering (without reference genome)

Population SNP detection and annotation

Polymorphic tag development

Genetic map construction and quality evaluation

For any request on genetic map analysis, Please feel free to contact us for details.

Turnaround Time

Turnaround Time

Depending on the type of data (whole genome sequencing data or reduced-representation genome sequencing data) and the specific scale of the project (number of samples and phenotype types), we will take about one to two weeks to complete the project.

CD Genomics has over a decade of experience in genetic map analysis. We can construct genetic maps with WGS data and RRGS data. Please contact us for more information and a detailed quote.

* For Research Use Only. Not for use in diagnostic procedures.
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