Bioinformatics-Analysis, a division of CD Genomics, provides bioinformatics services related to disease data. We provide customers with genome data analysis, transcriptome data analysis, epigenetic data analysis, proteomics data analysis and groupology association analysis services. With a professional data analysis team, we will provide you with fast and accurate biological data analysis services.
Introduction of Disease Research
Due to the deteriorating living environment and poor individual living habits, the prevalence of various diseases has greatly increased, reducing the quality of life of individuals and increasing the burden on families and society. With the advent of the genome era, new research directions have been opened for disease research and treatment. For example, through the research of genome, transcriptome, epigenetics, and immunology, we can find molecular markers suitable for early diagnosis of disease, tumor typing, disease progression and prognosis.
Bioinformatics is a technology that collates, stores and analyzes the structure and function information of biological macromolecules by computer. at present, bioinformatics has become an important research means of life science. With the wide application of gene expression profile microarray and high-throughput sequencing technology in the process of disease research, a large number of data have been accumulated. By means of bioinformatics, disease-related databases can be constructed, disease-related drugs can be developed and disease-related gene expression profiles can be analyzed systematically. For example, the analysis of solid tumor genome data, transcriptome data, epigenetic data, immunological data, exosomal data, so as to assist tumor research at the genomic level.
Fig 1. Common Variants Associated With Early-Onset Atrial Fibrillation. (Seung H C, et al. 2018)
Bioinformatics in Disease Research
Use bioinformatics methods to analyze next-generation sequencing data, genotyping data and experimental data. Through mining single nucleotide polymorphism (SNP), insertion/deletion (InDels), copy number variation (CNV), structural variation
Fig 2. CD Genomics bioinformatics data analysis process.
What can CD Genomics Do?
CD Genomics provides biological information solutions for various complex diseases, such as tumors. Analyze data in different directions, such as DNA and RNA, to help customers solve data analysis problems in different research stages. In addition, we also provide professional personalized data analysis services.
Whole Genome Sequencing Data Analysis, Whole Exome Data Analysis, Target Area Sequencing Data Analysis- Analyze all the genes in the genome, find the genetic mutation information related to diseases such as SNP, CNV, SV, Indel, and analyze the mechanism of disease.
Whole Genome Bisulfite Methylation, RRBS Analysis -By drawing a methylation map, studying the relationship between methylation levels and diseases in a specific area, and exploring the impact of methylation on biological functions. Thereby screening molecular markers, which can be used for early diagnosis, grading and typing of diseases.
RNA data analysis, Small RNA Analysis, LncRNA Data Analysis, Circular RNA Analysis -Analyze mutations, expression differences, gene fusion and alternative splicing events related to disease occurrence and development. Predict the target genes of miRNA, the expression and potential mechanism of LncRNA and circRNA, explore the relationship between non-coding RNA and disease, and screen molecular markers that can be used for disease diagnosis and prognosis.
Exosomal RNA Sequencing Analysis- Exosomes are involved in the regulation of important cellular physiological activities. Differential expression analysis of exosomal RNA is carried out to explore the relationship between exosomes and diseases, and to screen early diagnosis markers of diseases.
CD Genomics provides you with one-stop biological information data analysis services. In addition to the above analysis, we can also provide customized biological information analysis services related to disease data according to your needs. You only need to provide the original data and analysis requirements, we will provide you with a complete data analysis result report and graphs. For Disease data analysis, if you have any questions, please feel free to contact us.
Reference
- Seung H C, et al. Association Between Titin Loss-of-Function Variants and Early-Onset Atrial Fibrillation.[J]. JAMA. 2018, 320(22):2354-2364
