Proteomics search engine written in Rust

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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  • sage

    Proteomics search & quantification so fast that it feels like magic (by lazear)

  • Sage is a proteomics search engine - it transforms raw mass spectra into peptide identifications via efficient database searching. It's (to my knowledge) currently the fastest proteomics search engine (5x to 1000x faster than proprietary competitors), and designed to be "cloud-native" (can read/write compressed data from bulk object storage). Where commercial software from Thermo Scientific (the instrument manufacturer) might take > 24 hours to run a search on 200 GB of mass spectra, Sage can complete the same search in < 15 minutes - and identify substantially more peptides.

  • Rust-Bio

    This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.

  • e.g. Rust-Bio

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  • milli

    Discontinued Search engine library for Meilisearch ⚡️

  • Is this a posting list? There is a lot of bioinformatics in this post, but if I squint, some of the problems do look like general information retrieval problems. Even the discussion of ordering the arrays by mass sounds like search relevance scores and makes me wonder if it makes sense to try to get something off the shelf like meillisearch/milli or tantavy to support this use case.

  • tantivy

    Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust

  • Is this a posting list? There is a lot of bioinformatics in this post, but if I squint, some of the problems do look like general information retrieval problems. Even the discussion of ordering the arrays by mass sounds like search relevance scores and makes me wonder if it makes sense to try to get something off the shelf like meillisearch/milli or tantavy to support this use case.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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