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ATTILA Bioinformatics Research

Automated immunoglobulin sequence analysis for phage display libraries, producing candidate heavy/light chain sequences and antibody fragment code.

Role

Research Intern

Timeline

3/1/2019 · 12/1/2022

What it does

ATTILA (AutomaTed Tool For Immunoglobulin Analysis) analyzes phage display libraries to identify candidate immunoglobulin sequences. It outputs heavy and light chain candidates plus code for antibody fragments that may bind the target molecule.

Pipeline

  • Processes variable domain sequences for heavy (VH) and light (VL) chains
  • Automates an eight-step analysis across C, Perl, and shell tooling
  • Implements the CDR3 parsing stage in Rust in the dedicated cdr3-parser repository
  • Generates visual reports to share results with research stakeholders

Outcomes

  • Accelerated the protein analysis pipeline by over 30x by optimizing critical stages and data flow
  • Delivered interactive visualization reports for research stakeholders

Status

Research completed between March 2019 and December 2022.

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