Bioinformatic Service for Next Generation Sequencing

CD Genomics provides statistical and bioinformatic data analysis services that help our customers to explain large amounts of data generated by sequencing, genotyping, and microarray experiments.

Overview

Next-generation sequencing has fundamentally revolutionized biological and medical sciences. A sequencing/microarray data analysis project requires careful planning, seasoned methodology, and concise reporting. CD genomics is an expert company offering comprehensive bioinformatics solutions in all aspects of sequencing and microarray. We provide data analysis services for data generated by a wide range of sequencing/microarray platforms. We use the cutting-edge bioinformatics algorithms and pipeline, and provide you with high-quality and ready-for-publication figures. Our bioinformatic staff consists of PhD-level scientists trained in computer languages, statistics, bioinformatics, genetics, and genomics. The software infrastructure for analysis is a combination of custom-built and open-source software. Our bioinformatics services take your raw next/third generation data and provide you with comprehensive figures customized to your research purposes as well as personalized data interpretation support. CD Genomics’ full range of bioinformatics services can be an ideal solution for you.

Genotyping


Bioinformatics Workflow


High-throughput sequencing technology can generate numerous data with heterogeneous quality, and there is no optimal bioinformatics pipeline for all cases. We are specialized in customizing the bioinformatics pipeline for your specific projects. We support companies and research groups by turning ideas into concrete project plans and implementing them, thereby making full use of your data.


Our advantages:


We aim to provide the highest level of service, confidentiality and customer support. Our extensive expertise can help expedite your SNP and mutation analysis assays with speed, quality, and reliability. With our services you can either take a deep look into the genome or search for unknown genotype-phenotype connections or genotype already known variations.