Does anyone know a great guide/documentation explaining how to implement Percolator?

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

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • mokapot

    Fast and flexible semi-supervised learning for peptide detection in Python

  • Why not use MokaPot instead? It’s fundamentally a python installation of percolator. https://github.com/wfondrie/mokapot

  • sage

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

  • If you want to implement LDA from scratch, you could check out how Sage is doing it.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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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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