NGS Data Analysis

RASA Life Science Informatics provides comprehensive Computational Genomics services designed to transform complex sequencing and multi-omics datasets into actionable biological insights. Our expertise includes RNA-Seq analysis, Single-Cell Omics, Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), Spatial Transcriptomics, Metagenomics & Microbiome Analysis, Epigenomics, Long-Read Sequencing, Multi-Omics Integration, Clinical Genomics, and Biomarker Discovery. These services support pharmaceutical research, biotechnology innovation, clinical genomics, precision medicine, and translational research programs.

Computational Genomics combines genomics, bioinformatics, statistics, machine learning, and computational biology to analyze and interpret large-scale biological datasets. It enables researchers to identify disease-associated genes, discover biomarkers, understand molecular pathways, characterize cellular populations, and support precision medicine initiatives. Computational genomics plays a critical role in modern drug discovery, clinical research, cancer genomics, rare disease studies, and personalized healthcare.

Our bioinformatics workflows support data generated from leading sequencing and omics platforms, including:
Illumina Sequencing
Oxford Nanopore Technologies (ONT)
PacBio HiFi & Iso-Seq
10x Genomics Chromium
NanoString GeoMx DSP
CosMx SMI
MERFISH
Slide-seq
SMART-seq2
Parse Biosciences
We continuously adapt our pipelines to support emerging genomics and spatial omics technologies.

Yes. We provide complete end-to-end bioinformatics analysis starting from raw FASTQ files. Our workflows include quality control, adapter trimming, sequence alignment, transcript quantification, variant calling, statistical analysis, pathway enrichment, biological interpretation, and publication-ready reporting. We also support BAM, CRAM, VCF, count matrices, expression tables, and processed sequencing datasets.

Our NGS and Computational Genomics services include:
Transcriptomics (RNA-Seq)
Single-Cell Omics
Whole Genome Sequencing (WGS)
Whole Exome Sequencing (WES)
Spatial Transcriptomics
Metagenomics & Microbiome Analysis
Epigenomics (ATAC-Seq, ChIP-Seq, DNA Methylation)
Long-Read Sequencing Analysis
Multi-Omics Integration
Clinical Genomics
Biomarker Discovery
Each workflow is customized to the biological question, sequencing platform, and project objectives.

Yes. We develop customized bioinformatics workflows based on:
Organism type
Sequencing technology
Experimental design
Research objectives
Clinical applications
Regulatory requirements
Data volume and infrastructure requirements
Our pipelines are designed to be reproducible, scalable, and suitable for both academic research and industry projects.

We support genomics projects across a wide range of organisms and sample types, including:
Human samples
Animal models
Plant genomics
Microbial genomes
Environmental samples
Cancer tissues
Clinical specimens
Single-cell datasets
Metagenomic communities
Our workflows can be adapted for both model and non-model organisms.

Yes. We specialize in integrating multiple biological data types, including genomics, transcriptomics, epigenomics, proteomics, metabolomics, and clinical datasets. Multi-omics integration helps uncover complex biological mechanisms, identify biomarkers, prioritize therapeutic targets, and support precision medicine research.

Absolutely. Computational genomics is widely used for:
Therapeutic target identification
Biomarker discovery
Disease pathway analysis
Precision medicine research
Drug response prediction
Patient stratification
Translational medicine programs
These insights help accelerate drug discovery and clinical development programs.

Project deliverables typically include:
Quality Control Reports
Statistical Analysis Reports
Differential Expression Analysis
Variant Calling Results
Pathway Enrichment Analysis
Network Biology Analysis
Biomarker Discovery Reports
Interactive Visualizations
Publication-Ready Figures
Comprehensive Scientific Reports
Deliverables can be customized according to project requirements.

Yes. All projects include high-quality scientific visualizations, biological interpretation, methodology documentation, and publication-ready figures suitable for journal manuscripts, grant applications, regulatory submissions, and presentations.

Depending on project requirements, we utilize industry-standard tools including:
FASTQC
MultiQC
STAR
HISAT2
Salmon
GATK
DeepVariant
Seurat
Scanpy
Cell Ranger
QIIME2
Kraken2
Bismark
MACS2
Cytoscape
DESeq2
edgeR
Our workflows are continuously updated to incorporate the latest bioinformatics methodologies.

Yes. Our bioinformatics workflows are deployable on:
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
High-Performance Computing (HPC) Clusters
On-Premise Servers
We use technologies such as Nextflow, Snakemake, Docker, and Singularity to ensure reproducibility and scalability.

We maintain strict confidentiality and data security standards. Client data is handled through secure storage, encrypted transfers, controlled access policies, and optional Non-Disclosure Agreements (NDAs). We follow best practices for data protection and project confidentiality throughout the engagement.

RASA combines expertise in genomics, bioinformatics, computational biology, and AI-driven analytics to deliver scalable, scientifically rigorous, and reproducible solutions. Our team supports pharmaceutical companies, biotechnology organizations, hospitals, CROs, and academic researchers through customized workflows, advanced analytical capabilities, publication-ready reporting, and collaborative scientific support.

Getting started is simple. Share your project objectives, study design, and available datasets with our team. We will assess your requirements, recommend the most suitable analytical workflow, provide a project proposal, and deliver a customized solution tailored to your research or business goals.
📧 info@rasalifesciences.com
🌐 www.rasalifesciences.com