With the development of high-throughput next-generation sequencing (NGS) and long-read sequencing, it is feasible to generate large amounts of genotype data from large populations of a given species. Population size, the amount of data generated, and efficient computational analysis are decisive factors in genomic prediction during crop improvement. Genomic data will generate more meaningful information and more accurately predict trait behavior in subsequent breeding cycles. Current advances in genomics and bioinformatics provide opportunities to accelerate crop improvement.

Fig. 1. Flowchart of plant breeding in the era of genomics big data. (Kim et al., 2020)

Our agricultural genomic data analysis service

CD Genomics is committed to providing comprehensive genomic data analysis services for agriculture. Our genomic data analysis covers the complex process of scrutinizing and interpreting the vast pool of genetic information in the genomes of plants and animals. Our bioinformatics team has extensive experience in analyzing agricultural genomic data to drive crop improvement and increase agricultural productivity. Our analysis of agricultural genomic data encompasses the study of all aspects of genomes, including the identification of genes, regulatory elements, and functional components, as well as analyzing genetic variation and exploring genetic relationships within populations and individuals.

We offer the following agricultural genomic data analysis services:

• Plant and animal genome assembly and annotation. CD Genomics utilizes state-of-the-art sequencing technologies and advanced bioinformatics tools to generate high-quality genome assemblies. We help you identify genes, regulatory elements, and other important features in the genome that can inform crop traits and potential breeding targets.
• Plant and animal de novo sequencing data analysis. Through our de novo sequencing data analysis services, we can help you generate high-quality reference genome assemblies, structural and functional annotation of genes, identification of gene families, phylogenetic analysis, and biosynthetic predictions.
• Plant and animal genome resequencing data analysis. Our lab has advanced algorithms and processes to identify and characterize genetic variants such as single nucleotide polymorphisms (SNPs), structural variants (SVs), and insertions/deletions (indel). We utilize these variants for genotyping by sequencing (GBS), population genetics studies, association mapping, and quantitative trait locus (QTL) analysis to accelerate breeding programs.
• Plant and animal targeted and exome sequencing data analysis. We offer targeted and exome sequencing bioinformatics analysis services to help you identify point mutations, indel, copy number variation (CNV), and gene rearrangements, providing new ideas and assistance in molecular breeding.
• Plant and animal metagenomic sequencing data analysis. Through our metagenome sequencing data analysis services, we provide information on species composition and abundance analysis, genome composition analysis, generation of non-redundant gene catalogs, gene function annotation, and comparative analysis between samples.

Our services can be applied to the following research areas

• Accelerate crop improvement. Our agricultural genomic data analysis services help you identify key genes, genetic variants, and genomic regions associated with desired agronomic traits, providing genomic information for breeders and researchers to develop disease-resistant, stress-tolerant, and high-yielding crop varieties.
• Precision agriculture and sustainable practices. Our agricultural genomic data analysis services provide farmers and agricultural organizations with accurate and actionable genomic information to optimize agricultural practices and minimize the use of fertilizers, pesticides, and water.

Our advantages and features

• Our team of scientists and bioinformaticians have an in-depth understanding of agricultural genomics, allowing us to provide tailored solutions to meet our clients' specific needs.
• Whether it's genome assembly, variant calling, or data integration, our team works closely with our clients to develop personalized strategies and provide actionable insights.
• We provide accurate and reliable results from genomic data analysis, enabling our clients to make informed decisions and move their projects forward efficiently.
• We have the latest sequencing platforms, bioinformatics software, and computational infrastructure to ensure the highest quality results.

CD Genomics provides comprehensive agricultural genomic data analysis services to accelerate crop improvement and promote sustainable agricultural practices. If you are interested, please feel free to contact us.

Reference

1. Kim, Kyung Do, Yuna Kang, and Changsoo Kim. "Application of genomic big data in plant breeding: Past, present, and future." Plants. 9.11 (2020): 1454.