Bioinformatics is a critical field that bridges biology, computer science, and data analysis, enabling the interpretation of complex biological data. CD ComputaBio's bioinformatics services leverage advanced computational tools and expertise to provide comprehensive solutions for analyzing and interpreting biological data. From genomics to metabolomics, our services empower researchers to uncover insights into biological systems and accelerate discoveries in life sciences and medicine.
Introduction to Bioinformatics
Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics. It involves the acquisition, storage, analysis, and interpretation of biological data, primarily genomic, proteomic, and metabolomic data. With the exponential growth of biological data due to high-throughput methods such as next-generation sequencing, microarray analysis, and mass spectrometry, bioinformatics has become an essential tool for modern biological research.
Figure 1. Bioinformatics.
Computational Strategy for Bioinformatics
Bioinformatics employs a wide range of computational methods to analyze and interpret complex biological data, including sequence alignment, variant calling and differential expression analysis. Advanced algorithms, such as machine learning and network analysis, are used to integrate multi-omics data, identify key biological pathways, and predict molecular interactions. Visualization tools and statistical models further aid in interpreting results, enabling researchers to uncover insights into biological systems and advance discoveries in life sciences and medicine.
Research Areas
Drug Development
Discover drug targets, mechanisms and biomarkers with cutting-edge omics data analysis.
Cancer
Understand cancer, develop new drugs and personalize treatment with CD ComputaBio bioinformatics services.
Microbiology
Use bioinformatics analysis methods to explore the functions, communities and interactions of microorganisms.
Genetics
Discover heritable variants and study their effects with computational genetics.
Nervous System
Research into the development, function and pathologies of the nervous system deserves the best bioinformatics support.
Immunology
Bioinformatics analysis to understand cell types, immune repertoires, and immune evasion mechanisms.
Workflow of Computational Bioinformatics Analysis
| Step |
Description |
| Step 1 |
Data Collection and Preparation
- Retrieval of genomic, transcriptomic, or proteomic data from public databases or client-provided datasets.
- Data cleaning and preprocessing, including quality control checks.
|
| Step 2 |
Data Analysis and Interpretation
- Genomic Data Analysis: Variant calling, annotation, and interpretation of DNA sequencing data.
- Transcriptomic Analysis: RNA-Seq data processing, differential expression analysis, and pathway analysis.
- Proteomics Analysis: Protein identification, quantification, and functional annotation.
- Metagenomics: Analysis of microbial communities and their interactions.
|
| Step 3 |
Statistical Analysis and Modeling
- Application of statistical models to interpret biological data.
- Machine learning techniques to identify patterns and make predictions.
- Visualization and Reporting
|
| Step 4 |
Visualization and Reporting
- Creation of informative visuals (graphs, charts, heatmaps) to represent data findings.
- Comprehensive reporting with clear summaries of results and biological implications.
|
Our Services
At CD ComputaBio, we offer a comprehensive suite of services that spans various domains of genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Our goal is to provide researchers and clinicians with the analytical tools and expertise needed to uncover biological insights and advance scientific knowledge.
Genomics Services
- K-mer Selection and Analysis
- Single Nucleotide Polymorphism (SNP) analysis
- Structural Variation (SV) analysis
- Copy Number Variation (CNV) analysis
Epigenomics Services
- DNA Modification Analysis Service
- Histone Modification Analysis Service
- ChIP-Seq Service
Transcriptomics Services
- mRNA Analysis Service
- microRNA Analysis Service
- lncRNA Analysis Service
- GO Enrichment Analysis
- KEGG Pathway Analysis Service
- Gene Regulatory Network Analysis
Proteomics Services
- Protein-Protein Interactions Analysis Service
- Protein PTM Analysis Service
- Protein Expression Analysis Service
Metabolomics Services
- Lipidomics Analysis Service
- Glycomics Analysis Service
- Nucleotide Analysis Service
- Metabolic Network Analysis Service
- Metabolic Flux Analysis Service
Bioinformatics Data Analysis
CD ComputaBio analyzes omics data generated from sequencing, array, and mass spectrometry experiments.
Template
DNA Sequencing Data Analysis
DNA sequencing enables identifying mutations. We analyze DNA sequence data from whole genomes, exomes, sequencing panels, SNP arrays and metagenomic experiments.
Transcriptomic Data Analysis
Transcriptomic data analysis service uses advanced technologies to deeply analyze gene expression data. It helps you gain insights into the mysteries of biology and drives progress in scientific research and clinical practice.
Proteomic And Metabolomic Data Analysis
Proteomics and metabolomics reveal the functional state of a biological system. We perform pathway and biomarker analyses on protein and small molecule MS data.
Pathway and Differential Expression Analysis
This analysis identifies changes in gene expression levels between different biological conditions, such as different genotypes, treated and untreated samples, or disease-related research. Differentially expressed genes provide valuable insights into studied phenotypes' underlying drivers and affected processes.
- KEGG (Kyoto Encyclopedia of Genes and Genomes)
Popular requests often include
- Enriched pathways analysis
- Molecular function analysis
- Protein interaction mapping
Related Bioinformatics Services
- Biomarker and target identification
- Biostatistical modeling and inference
- Clinical trial data analysis
Our Advantages
Advanced Computational Tools
State-of-the-art software and algorithms ensure accurate and reliable analysis of complex biological data.
Expert Team
A team of bioinformaticians, data scientists, and biologists provides tailored solutions for each project.
Customized Approaches
Services are adapted to meet specific project requirements, from data analysis to interpretation.
CD ComputaBio's bioinformatics services offer a comprehensive suite of computational tools and expertise to accelerate discoveries in life sciences and medicine. By leveraging advanced algorithms, data integration, and visualization tools, this service enables researchers to uncover insights into biological systems and make data-driven decisions. If you are interested in our services or have any questions, please feel free to contact us.
* For Research Use Only.
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