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@Coda-Research-Group

Complex Data Research Group

We find patterns in data and mine information from complexity.

CODA, Complex Data Research Group

CODA

We find patterns in data and mine information from complexity.

A protein structure, a mass spectrum, a molecular dynamics trajectory: the only way to relate two of them is to measure how similar they are, and that measurement is the expensive part. We build the indexes that make searching collections like these possible, and the services that run on them.

What we build

DreaMS Search 200+ million mass spectra with IOCB Prague and CIIRC CTU
AlphaFind 240+ million protein structures Nucleic Acids Research 2026
Learned Metric Index learned indexing for metric spaces Information Systems 2021
MDFind molecular dynamics trajectories in development

Working with us

Bring us a sample of your data and the question you want answered about it: disa.fi.muni.cz/complex-data-analysis.

Popular repositories Loading

  1. AlphaFind AlphaFind Public

    AlphaFind: Discover structure similarity across the entire known proteome

    TypeScript 27 4

  2. LearnedMetricIndex LearnedMetricIndex Public

    Learned Metric Index (LMI) is a machine learning based data structure for fast look-up of approximate nearest neighbors in complex data.

    Python 11 4

  3. ProteinEmbeddingBenchmark ProteinEmbeddingBenchmark Public

    Jupyter Notebook 2

  4. Protein-Domain-Search Protein-Domain-Search Public

    Python 1

  5. sisap26-dream-team sisap26-dream-team Public

    Forked from sisap-challenges/sisap26-python-baseline

    Submission for SISAP 2026 Challenge

    Python 1

  6. RecoverGraphANN RecoverGraphANN Public

    Reproducibility artifact for the CIKM '26 paper: one query-agnostic preprocessing step takes HNSW from 21.1% to 95.8% recall@10 on attention-derived inner-product workloads, with no index changes.

    Python 1

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