Tutorials using Filter1
Servers Offering this Tool
UseGalaxy.eu (Filter1)This is a guess, we are not currently checking if that is actually present.
Observed Tool Versions
- Filter1
- Assembly / Hands-on: Hands-on: Making sense of a newly assembled genome
- Contributing to the Galaxy Training Material / Hands-on: Hands-on: Creating a new tutorial
- Ecology / Hands-on: Hands-on: Metabarcoding/eDNA through Obitools
- Ecology / Hands-on: Hands-on: Compute and analyze biodiversity metrics with PAMPA toolsuite
- Ecology / Hands-on: Hands-on: Cleaning GBIF data for the use in Ecology
- Ecology / Hands-on: Hands-on: Preparing genomic data for phylogeny reconstruction
- Ecology / Hands-on: Hands-on: RAD-Seq Reference-based data analysis
- Ecology / Hands-on: Hands-on: Regional GAM
- Ecology / Hands-on: Hands-on: Species distribution modeling
- Epigenetics / Hands-on: Hands-on: ATAC-Seq data analysis
- Epigenetics / Hands-on: Hands-on: CUT&RUN data analysis
- Epigenetics / Hands-on: Hands-on: Formation of the Super-Structures on the Inactive X
- Genome Annotation / Hands-on: Hands-on: Comparative gene analysis in unannotated genomes
- Genome Annotation / Hands-on: Hands-on: Essential genes detection with Transposon insertion sequencing
- Introduction to Galaxy Analyses / Hands-on: Hands-on: Data Manipulation Olympics
- Introduction to Galaxy Analyses / Hands-on: Hands-on: Introduction to Genomics and Galaxy
- Metabolomics / Hands-on: Hands-on: Mass spectrometry imaging: Examining the spatial distribution of analytes
- Metabolomics / Hands-on: Hands-on: Mass spectrometry imaging: Finding differential analytes
- Microbiome / Hands-on: Hands-on: Identification of the micro-organisms in a beer using Nanopore sequencing
- Proteomics / Hands-on: Hands-on: Statistical analysis of DIA data
- Proteomics / Hands-on: Hands-on: Library Generation for DIA Analysis
- Proteomics / Hands-on: Hands-on: Clinical-MP-2-Discovery
- Proteomics / Hands-on: Hands-on: Clinical-MP-3-Verification
- Proteomics / Hands-on: Hands-on: Label-free data analysis using MaxQuant
- Proteomics / Hands-on: Hands-on: MaxQuant and MSstats for the analysis of label-free data
- Proteomics / Hands-on: Hands-on: metaQuantome 1: Data creation
- Proteomics / Hands-on: Hands-on: Secretome Prediction
- Single Cell / Hands-on: Hands-on: Inferring single cell trajectories (Monocle3)
- Single Cell / Hands-on: Hands-on: Converting between common single cell data formats
- Single Cell / Hands-on: Hands-on: Clustering 3K PBMCs with Scanpy
- Statistics and machine learning / Hands-on: Hands-on: A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
- Transcriptomics / Hands-on: Hands-on: De novo transcriptome reconstruction with RNA-Seq
- Transcriptomics / Hands-on: Hands-on: GO Enrichment Analysis
- Transcriptomics / Hands-on: Hands-on: Whole transcriptome analysis of Arabidopsis thaliana
- Transcriptomics / Hands-on: Hands-on: Reference-based RNA-Seq data analysis
- Transcriptomics / Hands-on: Hands-on: Differential abundance testing of small RNAs
- Variant Analysis / Hands-on: Hands-on: Calling very rare variants
- Variant Analysis / Hands-on: Hands-on: From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis
- Variant Analysis / Hands-on: Hands-on: Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data
- Variant Analysis / Hands-on: Hands-on: Trio Analysis using Synthetic Datasets from RD-Connect GPAP