|Overview:||a Graphical User Interface (GUI) for Sequana pipelines and any Snakemake-based workflows.|
This GUI can be used to load Snakefile and their configuration file. A working directory has to be set. Once done, the configuration file can be changed in the GUI. Finally, one can run the snakefile and see the progress. Tooltips are automatically created from the configuration file (if documented).
Since snakemake has the ability to run jobs locally or on a cluster, this application can also be run either locally or a distributed computing platform (e.g., cluster with slurm scheduler). Of course, this means you can use a X environment on your cluster (ssh -X should do it).
Just type sequanix in a shell.
tested under Linux only. However, Mac and Windows users should be able to use it since it is based on Python and PyQt. Again, we strongly advice to use Anaconda to install all required dependencies
Here is a snapshot.
see Sequanix Tutorial for details
|Deprecated:||will be removed and replaced by Sequanix|
|Overview:||Creates project(s) to run a Sequana pipeline(s)|
The sequana executable can be used to create pipelines (and associated config file). For example:
sequana --pipeline quality --file1 R1.fastq.gz --file2 R2.fastq.gz --project TEST
will create a directory called TEST with a few files such as quality.rules, config.yaml, a runme.sh and a README file.
Valid pipelines can be found using:
There are many more options and documentation. Please use the
option for more information.
Show coverage and interval of confidence to identify under and over represented genomic regions.
please use sequana_coverage
git pull sequana/sequana_coverage
See github sequana_coverage docker page for details
See examples in the gallery
Starting from a BED file and its reference, one can use this command in a shell:
sequana_coverage --input JB409847.sorted.bed -o --reference JB409847.fa --show-html
It creates an HTML report with various images showing the coverage and GC versus coverage plots. It also provides a set of CSV files with low or high coverage regions (as compared to the average coverage).
the underlying algorithm is described in details in the documentation
|Description:||Prints basic statistics about a set of NGS input files. Currently handles Fastq (gzipped or not) or BED files (coverage).|
|Description:||a simple application to map reads onto a genome given one or two FastQ files (gzipped) and a reference.|
|Description:||Creates a HTML document with Krona and pie chart of taxonomic content of a FastQ file (paired or not). Uses Kraken, Krona and a dedicated Sequana database.|
|Gallery:||see Kraken module example|
You will need to download databases. We provide a toy example:
sequana_taxonomy --download toydb
and the official kraken DB (4Gb):
sequana_taxonomy --download minikraken
A database of 8Gb is available. See https://github.com/sequana/data/tree/master/sequana_db1 for instructions and details (bacteria, viruses, human, organelles, …).