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Jaenicke, Sebastian: The MGX framework for microbial community analysis. 2020
Inhalt
Introduction
Preface
Structure of this document
Background
Microbial community analysis
Metataxonomics
Metagenomics
Metatranscriptomics
Sequencing technologies
Low-throughput sequencing
Next-generation sequencing
Third generation sequencing
Bioinformatics tools for the analysis of microbial community data
BLAST and derived methods (LCA, SOrt-ITEMS, CARMA3)
Accelerated sequence homology search
HMMER
RDP Classifier
MetaPhlAn
Kraken
Kraken 2
Kaiju
Centrifuge
Metagenome analysis platforms
MG-RAST
IMG/M
EBI MGnify
CyVerse
MEGAN
Preliminary conclusions
MGX: An advanced framework for microbial community analysis
Objectives
System architecture
The importance of metadata
Server
Data model and sequence storage
Workflow-based analysis
Data serialization
Security and access control
MGX client library
Graphical user interface
Project Structure
Data Import
Quality Control
Job Execution
Visualization and Reporting
Sequence Export
Search
Statistical data interpretation
Reference mapping
Fidelity assessment of workflows
Currently available pipelines
Evaluation and benchmarking of taxonomic classification approaches for environmental DNA sequences
Taxonomic classification approaches
MGX classification workflow
Generation of benchmark datasets
Performance evaluation
Conclusion
Sequence alignment evaluation
Runtime measurement
Accuracy evaluation
Refinement of the taxonomic classification workflow
Discussion and Outlook
Discussion
Completed studies
Outlook
Preprocessing and quality control
Metagenome assembly
Selection of data processing engine
Containerization of MGX components
Standardized functional analysis
Public metagenome resource
Conclusion
Appendix
Implementation of custom analysis pipelines
Setting up the Conveyor workflow Designer
Basic workflow requirements
Annotating metagenome sequences
Performing basic sequence annotation
Annotation of hierarchical attributes
Workflow import into MGX
MGX database model
Bibliography