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We provide high-end life sciences research services, scientific consultation and professional grade training programs to students, researchers, professionals and scientific community worldwide

Our Services

Genomics Data Analysis

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Structural Biology

Biostatistics

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Whole Genome Sequencing Data Analysis

Whole genome sequencing (WGS) data analysis involves a complex bioinformatics pipeline that includes steps like quality control of raw sequencing reads, alignment to a reference genome, variant calling
 (identifying genetic variations like SNPs and INDELS), genome assembly (for de novo sequencing), annotation of identified variants, and further downstream analysis depending on the research question, such as pathway analysis or population genetics studies.

RNA Sequence Data Analysis

RNA-seq analysis enables genes and their corresponding transcripts to be probed for a variety of purposes, such as detecting novel exons or whole transcripts, assessing expression of genes and alternative transcripts, and studying alternative splicing structure. Differential Gene Expression (DGE) Analysis, Transcriptome Assembly and Annotation, Alternative Splicing Analysis, Fusion Gene Detection

Whole Exome Seq Data Analysis

Whole Exome Sequencing (WES) is a high-throughput sequencing technique that focuses on sequencing the protein-coding regions (exons) of the genome. Since exons comprise about 1-2% of the genome but contain ~85% of disease-causing mutations, WES is widely used in disease gene discovery, cancer genomics, and clinical diagnostics. WES data analysis refers to a computational pipeline that processes raw sequencing data to identify genetic variants (Single Nucleotide Variants (SNVs), Insertions/Deletions (InDels), and Copy Number Variants (CNVs)) and interprets their potential biological impact.Quality Control (QC) of Raw Data, Read Alignment to a Reference Genome, Post-Alignment Processing, Variant Calling, Variant Annotation & Functional Interpretation, Clinical Reporting and Visualization

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