Difference between revisions of "Ea-utils"

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:: Basic fastq stats. Counts duplicates. Option for per-cycle stats, or not (irrelevant for many sequencers).
 
:: Basic fastq stats. Counts duplicates. Option for per-cycle stats, or not (irrelevant for many sequencers).
 
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==Required Modules==
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==Environment Modules==
===Serial===
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* {{#var:app}}
 
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==System Variables==
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=Validation=
 
* Validated 4/5/2018
 

Latest revision as of 14:02, 13 June 2022

Description

eautils website  

ea-utils are command-line tools for processing biological sequencing data. Barcode demultiplexing, adapter trimming, etc. They are primarily written to support Illumina based pipelines but should work with any FASTQs.

Overview
fastq-mcf
Scans a sequence file for adapters, and, based on a log-scaled threshold, determines a set of clipping parameters and performs clipping. Also does skewing detection and quality filtering.
fastq-multx
Demultiplexes a fastq. Capable of auto-determining barcode id's based on a master set fields. Keeps multiple reads in-sync during demultiplexing. Can verify that the reads are in-sync as well, and fail if they're not.
fastq-join
Similar to audy's stitch program, but in C, more efficient and supports some automatic benchmarking and tuning. It uses the same "squared distance for anchored alignment" as other tools.
varcall
Takes a pileup and calculates variants in a more easily parameterized manner than some other tools.
sam-stats
Basic sam/bam stats. Like other tools, but produces what I want to look at, in a format suitable for passing to other programs. (View source)
fastq-stats
Basic fastq stats. Counts duplicates. Option for per-cycle stats, or not (irrelevant for many sequencers).

Environment Modules

Run module spider eautils to find out what environment modules are available for this application.

System Variables

  • HPC_EAUTILS_DIR - installation directory




Citation

If you publish research that uses eautils you have to cite it as follows:

Erik Aronesty (2011). ea-utils : "Command-line tools for processing biological sequencing data"; http://code.google.com/p/ea-utils

Erik Aronesty (2013). TOBioiJ : "Comparison of Sequencing Utility Programs", DOI:10.2174/1875036201307010001