This workflow processes the CMO fastqs with CITE-seq-Count and include the translation step required for cellPlex processing. In parallel it processes the Gene Expresion fastqs with STARsolo, filter cells with DropletUtils and reformat all outputs to be easily used by the function 'Read10X' from Seurat.

This workflow is composed with the XCMS tool R package (Smith, C.A. 2006) able to extract and the metaMS R package (Wehrens, R 2014) for the field of untargeted metabolomics.

https://training.galaxyproject.org/training-material/topics/metabolomics/tutorials/gcms/tutorial.html

MMGBSA simulation and calculation

This workflow is composed with the XCMS tool R package (Smith, C.A. 2006) able to extract, filter, align and fill gapand the possibility to annotate isotopes, adducts and fragments using the CAMERA R package (Kuhl, C 2012).

https://training.galaxyproject.org/training-material/topics/metabolomics/tutorials/lcms-preprocessing/tutorial.html

Contiging Solo w/HiC:

Generate phased assembly based on PacBio Hifi Reads using HiC data from the same individual for phasing.

Inputs

1. Hifi long reads [fastq]
2. HiC forward reads (if multiple input files, concatenated in same order as reverse reads) [fastq]
3. HiC reverse reads (if multiple input files, concatenated in same order as forward reads) [fastq]
4. K-mer database [meryldb]
5. Genome profile summary generated by Genomescope [txt]
6. Name of first assembly
7. Name of second assembly ...

This workflow takes as input a SRA_manifest from SRA Run Selector and will generate one fastq file or fastq pair of file for each experiment (concatenated multiple runs if necessary). Output will be relabelled to match the column specified by the user.

Run baredSC in 1 dimension in logNorm for 1 to N gaussians and combine models.

Automated inference of stable isotope incorporation rates in proteins for functional metaproteomics

We assume the identifiers of the input list are like: sample_name_replicateID. The identifiers of the output list will be: sample_name

RepeatMasking Workflow

This workflow uses RepeatModeler and RepeatMasker for genome analysis.

• RepeatModeler is a software package for identifying and modeling de novo families of transposable elements (TEs). At the heart of RepeatModeler are three de novo repeat search programs (RECON, RepeatScout and LtrHarvest/Ltr_retriever) which use complementary computational methods to identify repeat element boundaries and family relationships from sequence data.

• RepeatMasker is a program that analyzes ...