An online platform where researchers can analyze their NGS data using bioinformatics pipelines.
Fast track to data-driven decision making with an initial look into your data. Within 24 hours, uncover the hidden potential of your datasets and gain valuable insights with downstream analysis reports.
Platform Highlights
State-of-the-art NGS Pipelines
100% Secure and Private Data
Fast Interpreted Results
Automated Secure Process
No Bioinformatics Experience Required
No Compute Environment Required
State-of-the-art NGS Pipelines
Upload, initiate, analyze, and interpret your biological data
Single-Cell Transcriptomics
Our single-cell transcriptomics pipeline enables you to Dive deep into single-cell RNA sequencing data. Gain valuable insights into gene expression profiles, differential gene activity, cell identities, and enriched pathways within your data. From quality control to biological interpretation, this workflow helps you uncover Differences in gene expression at the cellular level.
Bulk Transcriptomics
Our bulk transcriptomics pipeline processes RNA sequencing data from mixed cell populations, focusing on reliable differential expression analysis and pathway enrichment. It includes raw data processing, read alignment, quality control, and generation of count data relative to genes. By splitting samples into groups, differential expression analysis and pathway enrichment can reveal key biomarkers associated with the groups. For example, by contrasting healthy and diseased samples, this can yield valuable insights to inform the selection of target pathways for drug discovery initiatives.
Immunomics
Our immunomics pipeline supports enables the comprehensive analysis of adaptive immune receptor repertoire (AIRR) sequencing data, be it B-cell receptor (BCR), T-cell receptor (TCR), or 10x genomics (BCR) sequencing,. It processes raw RNA sequencing data to identify and annotate BCR and TCR sequences, including V(D)J gene usage, clonotype identification, and somatic hypermutation analysis. The workflow provides insights into clonal diversity, expansion, and immune repertoire dynamics, offering a deeper understanding of B- and T-cell responses in health and disease.
ChIP-seq
Our ChIP-seq pipeline processes chromatin immunoprecipitation sequencing data to identify DNA regions bound by specific proteins, such as transcription factors or histone modifications. The workflow includes raw data processing, quality control, read alignment, peak calling, and annotation of binding sites. It provides insights into protein-DNA interactions, epigenetic modifications, and regulatory elements, enabling a deeper understanding of gene regulation and chromatin structure.
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