Journal
/
Génétique
/
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data
Journal JoVE
Génétique
Un abonnement à JoVE est nécessaire pour voir ce contenu.  Connectez-vous ou commencez votre essai gratuit.
Journal JoVE Génétique
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size (LEfSe) in Microbiome Data

DOI:
10.3791/61715-v

•

04:57 min

•

May 16, 2022

•

, ,
1Marine Resources Research Centre,Tianjin Research Institute for Water Transport Engineering, M.O.T., 2Key Laboratory of Regional Energy Systems Optimization, Ministry of Education, College of Environmental Science and Engineering,North China Electric Power University, 3School of Environmental Science and Engineering,Huazhong University of Science and Technology

Chapitres

  • 00:04Introduction
  • 00:39Linear Discriminant Analysis Effect Size (LEfSe) Native Analysis
  • 01:49LEfSe Online Analysis (Galaxy)
  • 03:05Results: Representative Microbiome LEfSe Characterization
  • 04:21Conclusion

Summary

Traduction automatique

Traduction automatique

LEfSe (LDA Effect Size) is a tool for high-dimensional biomarker mining to identify genomic features (such as genes, pathways, and taxonomies) that significantly characterize two or more groups in microbiome data.

Tags

BiomarkerLinear Discriminant AnalysisEffect SizeLEfSeMicrobiomeBiologic GroupsStatistical DifferencesGenomic BiomarkersConda EnvironmentData FormatLDA CalculationBiomarker PlotCladogramSingle Biomarker PlotGalaxy Server

Article

Embed

AJOUTER À LA PLAYLIST

Usage Statistics

Vidéos Connexes

Laser-assisted Cytoplasmic Microinjection in Livestock Zygotes

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow

Selection-dependent and Independent Generation of CRISPR/Cas9-mediated Gene Knockouts in Mammalian Cells

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions

Investigation of the Transcriptional Role of a RUNX1 Intronic Silencer by CRISPR/Cas9 Ribonucleoprotein in Acute Myeloid Leukemia Cells

Tomato Root Transformation Followed by Inoculation with Ralstonia Solanacearum for Straightforward Genetic Analysis of Bacterial Wilt Disease

Read Article