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HAYSTAC: High-AccuracY and Scalable Taxonomic Assignment of MetagenomiC data

Introduction

This is the official repository for the HAYSTAC paper.

Alignment based metagenomics

haystack is an easy to use pipeline for metagenomic identifications

You can easily:

  1. Construct a database
  2. Prepare your sample for analysis, including trimming sequencing adapters, collapsing paired end reads and also downloading data from the SRA
  3. Perform species identification
  4. Perform a chemical damage pattern analysis

Performance tests

All the code, setup script, run scripts and config files for the performance tests can be found under the performance_test directory.

You will need to clone the repository and then sequentially run the setup and run scripts from inside their directory.

Simulation datasets

For the simulation datasets you can fetch the database that was used in the apper and then follow the code examples. For the simulation we use gargammel (REF), so you will need to install that program first.

The relevant scripts can be found under the simulating_datasets directory.

Analysis

For every analysis we have performed in this paper, we include the commands used in scripts under the analysis directory.

License

MIT

Citation

Happening soon

haystac_paper's People

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haystac_paper's Issues

Beware the pre-installed tools (especially newer/other python versions)

Hi! ๐Ÿ‘‹
I have noticed that many people have issues with running HAYSTAC due to other python version interfering with the one in the conda environment that should be used (Python v3.6.7). The error message doesn't state this issue very clearly (that the python version has to be exactly 3.6.7) and I would suggest this was documented somewhere in the ReadMe.md or a clear error message could be implemented.
Thanks!

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