High Compute
RNA-seq Analysis
Differential gene expression, splicing analysis, fusion gene detection, and pathway enrichment from bulk RNA sequencing data. Supports DESeq2, edgeR, and STAR/HISAT2 alignment strategies.
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Computational Biology Services
End-to-end computational biology services powered by HPC and GPU infrastructure. From sequencing analysis to drug discovery — we handle the computation, you focus on the science.
Compute labels:High ComputeGPU IntensiveMassive Parallelism
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Sequencing Analysis
Comprehensive analysis pipelines for next-generation sequencing data, from raw FASTQ reads to biological insights.
High Compute
ChIP-seq Analysis
Chromatin immunoprecipitation sequencing for mapping protein-DNA interactions, histone modifications, and transcription factor binding sites with peak calling and motif analysis.
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DRIP-seq Analysis
DNA:RNA immunoprecipitation sequencing for genome-wide R-loop mapping, regulatory element identification, and transcription-replication conflict analysis.
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Spatial Transcriptomics
Spatial gene expression profiling preserving tissue architecture. Supports Visium, Slide-seq, and Stereo-seq platforms with cell type deconvolution and spatial domain identification.
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Single-cell Omics
scRNA-seq, scATAC-seq, and multimodal single-cell analysis including unsupervised clustering, trajectory inference, cell-type annotation, and cross-sample integration.
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Whole Genome Resequencing
SNP/indel calling, structural variant detection, copy number variation, and population genetics from short- or long-read whole genome sequencing data.
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Genome Assembly
High-fidelity genome assembly and comparative genomics using long-read and hybrid sequencing strategies.
High ComputeMassive Parallelism
De Novo Genome Assembly
Reference-grade genome assembly from PacBio HiFi, Oxford Nanopore, or hybrid data. Includes scaffolding, gap-filling, repeat annotation, and comprehensive BUSCO quality assessment.
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Pan-genome Analysis
Construction and analysis of pan-genomes across multiple strains or species to capture genomic diversity, core/accessory genome structure, and novel sequence identification.
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Structural Biology
Computational structural biology from protein structure prediction to macromolecular interaction analysis.
GPU Intensive
Protein Folding (AlphaFold)
State-of-the-art protein structure prediction using AlphaFold2/3, including multimer prediction, confidence scoring (pLDDT/PAE), and structural validation with downstream analysis.
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Molecular Dynamics Simulation
Long-timescale MD simulations of proteins, nucleic acids, and macromolecular complexes using GROMACS or AMBER with GPU acceleration, RMSD/RMSF analysis, and trajectory clustering.
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Rigid and flexible docking of small molecules to protein targets using AutoDock Vina or Schrödinger workflows, with binding pose analysis and MM-GBSA binding affinity estimation.
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Drug Discovery
Computational drug discovery pipelines integrating structure-based and ligand-based approaches for target identification and lead optimization.
High ComputeGPU Intensive
Molecular Dynamics for Drug Targets
MD-based binding free energy calculations (FEP/TI), allosteric site identification, cryptic pocket detection, and protein flexibility analysis for validated drug target characterisation.
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Virtual Screening
Large-scale virtual screening of chemical libraries (millions of compounds) against drug targets using docking, pharmacophore filtering, and ML-based scoring functions.
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Metagenomics
Culture-independent analysis of microbial communities from environmental and clinical samples.
High Compute
Microbiome Profiling
16S/18S/ITS amplicon sequencing and shotgun metagenomics for taxonomic classification (Kraken2, MetaPhlAn), functional annotation (HUMAnN3), alpha/beta diversity, and differential abundance analysis.
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We design and implement bespoke computational biology pipelines tailored to your exact research question. Contact us to discuss a custom analysis plan.
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