Genomic Data Analysis

At A&M Bioinformatics we are committed to providing high-quality and comprehensive analysis of genomic data. Our team of experts utilizes advanced bioinformatics tools and techniques to interpret and extract valuable insights from diverse genomic data sets.

Whether it's variant calling, gene expression analysis, or pathway analysis, we offer tailored solutions to meet your specific research needs. With a focus on accuracy and efficiency, we aim to deliver actionable results that drive meaningful discoveries in the field of genomics.

Our services encompass a wide range of genomics data analysis. We understand the importance of precision and reliability in genomic data interpretation, and our team is dedicated to ensuring that our analysis is grounded in rigorous scientific methodologies.

Additionally, our experts are skilled in handling large and complex genomic datasets, allowing us to effectively identify patterns, correlations, and potential biomarkers relevant to your research objectives.

We are committed to providing you with comprehensive and insightful reports that empower your research efforts and contribute to advancements in genomics.

Our analysis include:

• Whole Genome Sequencing (WGS) data analysis.

• RNA Sequencing (RNA-Seq) data analysis.

• Single-cell RNA Sequencing (scRNA-Seq) data analysis.

• Epigenomics data analysis.

• Variant Calling and Annotation.