PipeBio offers a cloud-based bioinformatics platform that automates the analysis of antibody sequences, enabling researchers to efficiently identify candidate sequences from large-scale NGS antibody repertoires and assess their developability. The platform centralizes sequence storage and integrates with existing laboratory tools, streamlining workflows and enhancing the speed and reliability of antibody development processes.
Funding
Funding not disclosed
Founders
Product
Problem
Analyzing antibody sequences from large-scale next-generation sequencing (NGS) experiments is computationally intensive and requires specialized bioinformatics expertise. Researchers need efficient tools to identify promising antibody candidates from vast sequence datasets and assess their developability.
Solution
PipeBio is a cloud-based bioinformatics platform designed to automate the analysis of antibody sequences, enabling researchers to efficiently identify candidate sequences from large-scale NGS antibody repertoires and assess their developability. The platform centralizes sequence storage, integrates with existing laboratory tools via REST APIs, and provides automated workflows to streamline antibody development processes. By automating sequence annotation, liability identification, and developability assessment, PipeBio enhances the speed and reliability of antibody discovery.
Target Audience
The primary users are scientists and bioinformaticians in academia and pharmaceutical companies involved in antibody discovery and development.
Features
- Automated annotation of antibody sequences, including identification of FRs, CDRs, and mutations through germline alignments for various antibody formats (IgG, scFv, VHH, TCRs).
- Detection of sequence-based liabilities.
- Clustering and comparison of samples to identify clonal families and analyze enrichment across experiments.
- Interactive charts for visualizing sequence clusters, amino acid frequencies, codons and genes, sequence quality, and phylogeny of antibody clones.
- Tools for associating functional assay data and metadata with sequences for hit picking.
- Antibody engineering tools for sequence editing, protein property calculation, codon optimization, and hydrophobicity analysis.
- REST API for integrating with ELNs, LIMS, and other internal tools to build automated pipelines.