How to Use ANARCI
Commercially Available Online Web Server
Use ANARCI online for antibody and TCR numbering with standard schemes and germline assignment.
ANARCI uses HMM-based antigen receptor classification to number antibody and TCR variable domains under schemes such as IMGT, Kabat, Chothia, Martin, Wolfguy, and AHo. The Bioinformatics paper positions it as a fast standardization layer between raw receptor sequences and downstream immune-repertoire analysis.
On Neurosnap, you can submit single sequences or large batches through Input Sequences, choose a numbering Scheme, optionally enable germline assignment, and review domain-level chain classification plus per-domain annotations in a table built for repertoire cleanup and curation.
How ANARCI Works
ANARCI first classifies variable domains with HMMER and then maps residues onto a chosen numbering scheme. Because the numbering logic is coupled to receptor classification, the tool can separate heavy, light, and TCR chains while also reporting alignment statistics and, when requested, closest V and J germlines.
On Neurosnap, Scheme, Assign Germline, Use Species, and Bit Score Threshold let users trade off strictness versus permissiveness and tailor outputs to a particular repertoire. The results page then organizes numbered domains, chain types, HMM scores, species assignments, and germline identities for quick quality control before deeper antibody analysis.
What is Neurosnap?
Neurosnap is the leading platform for bioinformatics and computational science focused on expanding access to powerful modeling and simulation tools. Because many state-of-the-art machine learning systems remain complex to install, configure, and scale, Neurosnap offers a clean, browser-based workspace that removes the burden of infrastructure management, dependency conflicts, and command-line tooling.
Built for biologists, chemists, and cross-disciplinary scientists, the platform enables advanced computational workflows without requiring expertise in software engineering or cloud architecture. Researchers can launch analyses through an intuitive interface, connect programmatically through a comprehensive API, and rely on automated resource management to scale workloads efficiently. By taking care of the underlying compute and operational complexity, Neurosnap allows teams to devote their energy to scientific progress and faster iteration. Security and data protection remain foundational principles, with clear safeguards outlined in our Terms of Use and Privacy Policy to ensure your work stays protected.
Advancing Discovery with ANARCI on Neurosnap
Using ANARCI on Neurosnap could drastically accelerate sequence annotation pipelines from Input Sequences using ANARCI.
- Study-fit inputs: ANARCI accepts large batches of receptor sequences, which makes it practical for both one-off annotation and repertoire-scale cleanup.
- Protocol control: Researchers can tune
Scheme,Assign Germline,Use Species, andBit Score Thresholdto adjust how strict and species-specific the annotation should be. - Standardized annotation: The method returns chain classification, numbering, HMM scores, and optional germline calls in a form that downstream immune-analysis workflows can use immediately.
- Faster iteration: Managed execution on Neurosnap removes infrastructure overhead so teams can focus on immune-receptor interpretation rather than running separate HMMER-based preprocessing scripts.
How to Use ANARCI on Neurosnap
To harness the capabilities of ANARCI, researchers can follow this streamlined workflow within Neurosnap:
- Access Neurosnap: Start by logging in to the Neurosnap website.
- Select Tool: From the list of available tools, choose ANARCI.
- Provide Inputs: Provide all the inputs specified within the submission panel and optionally configure the tool as desired.
- Run Tool: Submit the ANARCI job and Neurosnap will execute it in the cloud, automatically notifying you as soon as your results are ready.
- Review Output: Explore your results through rich visualizations, including figures, plots, and interactive views designed to help you analyze findings with clarity and confidence.
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