Workflows
What is a Workflow?Filters
KNIME workflow describing the analysis of mass spectrometry dataset related to the publication "Multisite phosphorylation of intrinsically disordered region of DVL facilitates Wnt signaling". Workflow was built using the KNIME software container environment, version 4.7.7, which can be created using "docker pull cfprot/knime:4.7.7" command in Docker.
Briefly, it contains the contaminants removal, log2 intensities transformation, data filtering, normalization, imputation of missing values and ...
Pipeface
Overview
Pipefaceee.
Nextflow pipeline to process long read ONT and/or pacbio HiFi data.
Pipeface's future hold's mitochondrial, STR, CNV and tandem repeat calling.
Workflow
Singleton
%%{init: {'theme':'dark'}}%%
flowchart LR
input_data("Input data: ONT fastq.gz and/or ONT fastq and/or ONT uBAM and/or pacbio HiFi uBAM")
merging{{"Merge runs (if needed)"}}
alignment{{"bam to fastq conversion (if needed), alignment,
...
Type: Nextflow
Creators: Leah Kemp, Andre Reis, Ira Deveson, Kisaru Liyanage, Matthew Downton, Hardip Patel, Kirat Alreja, This is a highly collaborative project, with many contributions from the Genomic Technologies Lab. Notably, Dr Andre Reis and Dr Ira Deveson are closely involved in the development of this pipeline. Optimisations involving DeepVariant and DeepTrio have been contributed by Dr Kisaru Liyanage and Dr Matthew Downton from the National Computational Infrastructure, with support from Australian BioCommons as part of the Workflow Commons project. Haploid-aware mode has been contributed by Dr Hardip Patel & Kirat Alreja from the National Centre for Indigenous Genomics. The installation and hosting of software used in this pipeline has and continues to be supported by the Australian BioCommons Tools and Workflows project (if89).
Submitter: Leah Kemp
The workflow main goal is to quality trim reads of input fastq files and to remove adaptors. It can also run Biobloom tools and species detector in order to check for contamination. Finally it runs fastq QC to obtain quality check after trimming. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.
A Nextflow-based Quality Control tool used on assembled genomes and raw short and long reads data
Description
The Settlement Delineation and Analysis (SDA) workflows generates a settlement network from geospatial settlement data. It can process geotiff and shapefile inputs and was originally designed to operate on the World Settlement Footprint dataset. Through multiple workflow stages, a settlement network is constructed, contracted (i.e. clustered) and ultimately analysed with centrality measures. The output shapefile stores the ...
The workflow main goal is to check the quality of input fastq files after sequencing and demultiplexing. Optionaly it can check for most abundant adaptor sequences. It can also merge fastq files belonging from the same samples after resequencing prior to quality check. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.
Type: Nextflow
Creators: James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, Lauri Mesilaakso, Thomas A. Christensen II, Jianhong Ou, Mahwash Jamy, Maxime Borry, Rafal Stepien, Tanja Normark
Submitter: WorkflowHub Bot