The latest release is v0.4.5.1. Be warned, that trimgalore itself will report v0.4.4_dev, but that is an error in the trimgalore release and already reported.
Due to the image has trimgalore as entry point, calling docker run will return the help text:
$ docker run --rm -it imetools/trimgalore:v0.4.5
###
### USAGE:
###
### trim_galore [options] <filename(s)>
###
###
### -h/--help Print this help message and exits.
###
### -v/--version Print the version information and exits.
###
### -q/--quality <INT> Trim low-quality ends from reads in addition to adapter removal. For
### RRBS samples, quality trimming will be performed first, and adapter
### trimming is carried in a second round. Other files are quality and adapter
### trimmed in a single pass. The algorithm is the same as the one used by BWA
### (Subtract INT from all qualities; compute partial sums from all indices
### to the end of the sequence; cut sequence at the index at which the sum is
### minimal). Default Phred score: 20.
###
### --phred33 Instructs Cutadapt to use ASCII+33 quality scores as Phred scores
### (Sanger/Illumina 1.9+ encoding) for quality trimming. Default: ON.
[...]
The version of trimgalore is returned, if --version is used as command:
$ docker run --rm -it imetools/trimgalore:v0.4.5 --version
###
### Quality-/Adapter-/RRBS-Trimming
### (powered by Cutadapt)
### version 0.4.4_dev
###
### Last update: 24 03 2017
###
Therefore you can almost use trimgalore like a local installation.
This repo is licences under MIT licence. For further information please check the content of the (LICENSE) file.
If you have any issues concerning the image or the repository, please report them via issues.
This repository is created and maintained by Frank Förster.
v0.4.5.1Adding parallel and new FastQC to image- trimgalore v0.4.5 (selfreporting as v0.4.4_dev)
- FastQC v0.11.7
- GNU parallel 20141022
v0.4.5First official release of the image. It includes- trimgalore v0.4.5 (selfreporting as v0.4.4_dev)
- FastQC v0.11.4