BioAGTC Analysis, Research, Development, and Innovation

We offer a variety of services that cater to the needs of academic institutions, pharmaceutical companies, healthcare providers, and research organizations. These services can be classified into different categories, ranging from genomic and biological sequence analysis to bioinformatics software and tools development.

• DNA and RNA Sequencing: Offering sequencing services for whole genomes, exomes, transcriptomes, or specific gene panels.
• Variant Analysis: Identifying genetic variants, such as SNPs, indels, and structural variants, and interpreting their potential impact.
• Gene Expression Analysis: Quantifying gene expression from RNA-seq data to identify differentially expressed genes under various conditions.
• Epigenetic Analysis: Analyzing DNA methylation, histone modification, and other epigenetic markers.

• Protein Identification and Quantification: Using mass spectrometry data to identify and quantify proteins in complex biological samples.
• Post-translational Modification (PTM) Analysis: Identifying modifications like phosphorylation, ubiquitination, and glycosylation.
• Metabolite Profiling: Analyzing metabolomic data to profile small molecules and metabolites in biological samples.
• Pathway Analysis: Integrating proteomic and metabolomic data to understand biological pathways and networks.

• Multi-Omics Data Integration: Combining genomic, transcriptomic, proteomic, and metabolomic data for a holistic understanding of biological systems.
• Network Biology: Constructing and analyzing biological networks (e.g., protein-protein interaction networks) to understand complex systems.

• Custom Software Solutions: Developing software tools or pipelines tailored to specific bioinformatics needs, such as data analysis pipelines or visualization tools.

• Precision Medicine: Analyzing patient-specific genomic data to guide personalized treatment options, including pharmacogenomics.
• Biomarker Discovery: Identifying potential biomarkers for diseases or treatment responses.
• Clinical Genomics Reporting: Providing clinical-grade reports from genomic data to inform medical decision-making.
• Genomic Counseling Support: Offering interpretation services to assist healthcare providers in explaining genomic results to patients.

Artificial Intelligence and Machine Learning in Bioinformatics

• Predictive Modeling: Applying machine learning algorithms to predict outcomes based on biological data (e.g., disease risk prediction, drug response).
• Image Analysis: Using AI to analyze medical and biological images, such as histopathology slides or cellular imaging.
• Natural Language Processing: Extracting relevant information from biomedical literature or electronic health records.

Database Management and Curation

• Data Curation Services: Curating and organizing biological data from public and proprietary sources for easy access and analysis.
• Database Development: Building and maintaining specialized bioinformatics databases, such as for specific diseases or types of omics data.

Consulting and Training

• Bioinformatics Consulting: Offering expert advice and project support for bioinformatics research and development.
• Training Programs: Providing workshops, online courses, and training materials on bioinformatics tools, software, and analysis methods.
• Grant Writing Support: Assisting in the preparation of grant proposals that involve bioinformatics components.

Regulatory and Compliance Support

• Regulatory Compliance: Ensuring that bioinformatics services and software adhere to relevant regulations, such as GDPR for data privacy or FDA guidelines for clinical software.
• Quality Assurance: Providing services to ensure data quality, reproducibility, and adherence to industry standards (e.g., FAIR data principles).
• Biotech and Pharmaceutical R&D Support
• Drug Discovery and Development Support: Assisting pharmaceutical companies in target identification, drug repurposing, and biomarker discovery.
• Clinical Trial Data Analysis: Offering bioinformatics support for analyzing and interpreting data from clinical trials.
• In Silico Drug Screening: Using computational methods to screen large libraries of compounds for potential drug candidates.

• Metagenomics: Analyzing microbial communities from environmental or clinical samples using metagenomic sequencing.
• Microbiome Profiling: Characterizing the composition and function of microbiomes in different environments, such as the human gut or soil samples.