Cut: columns from a table

Metadata

Servers Offering this Tool

UseGalaxy.eu (Cut1)

This is a guess, we are not currently checking if that is actually present.

Observed Tool Versions

Within GTN tutorials

• Cut1

EDAM Operations

• operation_3695

EDAM Topics

Relevant Tutorials

• Assembly / Decontamination of a genome assembly
• Assembly / Making sense of a newly assembled genome
• Contributing to the Galaxy Training Material / Creating a new tutorial
• Foundations of Data Science / Data Manipulation Olympics
• Ecology / Metabarcoding/eDNA through Obitools
• Ecology / RAD-Seq Reference-based data analysis
• Epigenetics / ATAC-Seq data analysis
• Epigenetics / Infinium Human Methylation BeadChip
• Using Galaxy and Managing your Data / Workflow Reports
• Genome Annotation / Comparative gene analysis in unannotated genomes
• Genome Annotation / Essential genes detection with Transposon insertion sequencing
• Introduction to Galaxy Analyses / Data Manipulation Olympics
• Introduction to Galaxy Analyses / Galaxy Basics for everyone
• Introduction to Galaxy Analyses / From peaks to genes
• Introduction to Galaxy Analyses / How to reproduce published Galaxy analyses
• Microbiome / Clinical Metaproteomics 2: Discovery
• Microbiome / Clinical Metaproteomics 3: Verification
• Microbiome / Clinical Metaproteomics 4: Quantitation
• Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data
• Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data (short)
• Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition
• Proteomics / Clinical Metaproteomics 2: Discovery
• Proteomics / Clinical Metaproteomics 3: Verification
• Proteomics / Clinical Metaproteomics 4: Quantitation
• Proteomics / Label-free data analysis using MaxQuant
• Proteomics / MaxQuant and MSstats for the analysis of label-free data
• Proteomics / metaQuantome 1: Data creation
• Single Cell / GO Enrichment Analysis on Single-Cell RNA-Seq Data
• Single Cell / Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution
• Single Cell / Single-cell ATAC-seq standard processing with SnapATAC2
• Single Cell / Generating a single cell matrix using Alevin
• Single Cell / Combining single cell datasets after pre-processing
• Single Cell / Filter, plot and explore single-cell RNA-seq data with Scanpy
• Single Cell / Inferring single cell trajectories with Monocle3
• Single Cell / Converting between common single cell data formats
• Single Cell / Converting NCBI Data to the AnnData Format
• Statistics and machine learning / A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• Transcriptomics / Genome-wide alternative splicing analysis
• Transcriptomics / Pathway analysis with the MINERVA Platform
• Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana
• Transcriptomics / Network analysis with Heinz
• Transcriptomics / Reference-based RNA-Seq data analysis
• Transcriptomics / 3: RNA-seq genes to pathways
• Transcriptomics / Visualization of RNA-Seq results with heatmap2
• Variant Analysis / Calling variants in non-diploid systems
• Variant Analysis / Pox virus genome analysis from tiled-amplicon sequencing data
• Visualisation / Visualisation with Circos
• Visualisation / Ploting a Microbial Genome with Circos