Your Bioinformatics Research Partners

Transforming Information into Insights

Who We Are

A combination of creative thinking and expertise

Pinnacle Genomics is a contract research organisation, supporting scientists from both academia and industry with efficient bioinformatics solutions for Next-Generation Sequencing data. We have a unique team with backgrounds in life sciences and bioinformatics, a streamlined and proven collaborational approach with our clients and long-standing technical expertise to make it work. We are not just crunching data, we make biological sense from your sequencing projects.

Our Services

Pinnacle Genomics is a contract research organisation, supporting scientists from both academia and industry with efficient bioinformatics solutions for Next-Generation Sequencing data regardless of the size of your research data.. Pinnacle Genomics have experience with small to large projects in providing bioinformatics services and statistical data analysis solutions.

Mutational Genomics Analysis

Whole-genome sequencing (WGS), whole-exome sequencing (WES) and targeted sequencing enable studying heritable and somatic DNA variants.These variants can be small nucleotide substitutions, insertions, deletions, copy-number alterations or structural variants.A crucial part of variant analysis is annotating the detected variants

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Gene Expression Analysis

Gene expression analysis gives us a snapshot of a sample’s transcriptome, providing insight into the composition and activity of cells in that sample. Most gene expression data analyses are designed to quantify changes in expression between groups of samples that differ with respect to some treatment, experimental condition or outcome.Analyses of this kind are applicable to a very broad range of therapeutic areas including (but not limited to) oncology, cardiovascular and metabolic disease

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Single Cell Analysis

Analysis of Single-cell RNA sequencing (scRNAseq) data gives the ability to study gene expression at a cellular level. This, to reveal information and variation that would otherwise be masked when considering a sample as a whole, as in the case of bulk RNAseq. Identifying and characterizing cell types is the most central part of most single-cell projects.The cluster markers can be visualized using scatter plots, violin plots, and heatmaps. Markers are further annotated to biological processes, signaling pathways or a specific disease

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Epigenomics Data Analysis
Chip-seq, ATAC-seq and DNA Methylation

Epigenetics data analysis poses several challenges due to the complexity and volume of data generated from techniques such as DNA methylation, ChIP-seq, and ATAC-seq.Understanding epigenetic processes is crucial to Uncover epigenetic mechanisms of gene regulation in development and disease.

As genome-wide epigenomic measurements yield a continuous signal across the genome, such analyses may also focus on specific regions of interest, such as Promoters, Enhancer or known binding sites of a protein of interest. Density heatmaps are used to visualize the signal at sites of interest in different conditions. CHIP-SEQ can be used to identify transcription factor (TF) binding sites across the genome.

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RNA Modifications

RNA modifications have already been linked to human diseases including cancer, cardiovascular disease, neurological disorders birth defects. Epigenetic modifications regulate gene expression to determine cell fate and responses to environmental stimuli. The field of epitranscriptomics examines the recently deciphered form of gene expression regulation that is mediated by site-specific RNA modifications.The functions of m5C writers and readers are believed to regulate gene expression at the post-transcription level

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16S Metagenomic Analysis

Amplicon metagenomic sequencing is an effective way to investigate all microorganisms present in diverse samples, including:Targeting and identifying the organisms of interest Annotating and classifying plentiful microorganisms in one assay, to obtain a complete composition of microbial communities Distinction of bacteria and archaea (16S), or fungi and other eukaryotes (ITS/18S) Analyzing samples from physiological fluids or tissues to diagnose disease and cancers

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Meet Our Team

Meet Our Awesome Teams

Effective communication and collaboration within the team can help harness these qualities and drive the team towards its goals.

Ms Komal Kukreja


Lead Bioinformatics Research Scientist

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