sage
mokapot
sage | mokapot | |
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5 | 1 | |
194 | 36 | |
- | - | |
7.7 | 3.4 | |
8 days ago | 2 months ago | |
Rust | Python | |
MIT License | Apache License 2.0 |
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sage
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Does anyone know a great guide/documentation explaining how to implement Percolator?
If you want to implement LDA from scratch, you could check out how Sage is doing it.
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What are some good examples of well-engineered bioinformatics pipelines?
You could check out https://github.com/lazear/sage - it's a near comprehensive program/pipeline for analyzing DDA/shotgun proteomics data. Most proteomics pipelines consist of running multiple, separate tools in sequence (search, spectrum rescoring, retention time prediction, quantification), but sage performs all of these. This cuts down on the need for disk space for storing intermediate results (none required), the need for IO (files are read once), and results in a proteomics pipeline that is >10-1000x faster than anything else, including commercial solutions
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Proteomics search engine written in Rust
You can also check out the intro blog post if you're interesting in learning more about the algorithm behind Sage. Beyond being fast, it also includes integrated machine learning (linear discriminant analysis, KDE) for rescoring spectral matches.
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Opinions on AlphaPept
You could try out Sage, if you're looking for speed - I don't think you'll find anything faster. https://github.com/lazear/sage
mokapot
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Does anyone know a great guide/documentation explaining how to implement Percolator?
Why not use MokaPot instead? It’s fundamentally a python installation of percolator. https://github.com/wfondrie/mokapot
What are some alternatives?
rnaseq - RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
alphapept - A modular, python-based framework for mass spectrometry. Powered by nbdev.
seqkit - A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
alfie - A neural network for alignment-free, kingdom-level classification of eDNA
fasten - :construction_worker: Fasten toolkit, for streaming operations on fastq files
dephell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
juicer - A One-Click System for Analyzing Loop-Resolution Hi-C Experiments
dance - DANCE: a deep learning library and benchmark platform for single-cell analysis
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.
gatk4-genome-processing-pipeline-azure - Workflows used for processing whole genome sequence data + germline variant calling.
spades - SPAdes Genome Assembler