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Ander, Christina: Bioinformatic methods for the analysis and comparison of metagenomes and metatranscriptomes. 2014
Inhalt
1 Introduction
1.1 Research on microbial communities
1.1.1 Central biological dogma
1.1.2 DNA Sequencing
1.1.3 History of metagenomics
1.1.4 Research techniques for non culturable microorganisms
1.1.5 Bioinformatic challenges in modern microbial research
1.2 Overview of this thesis
2 metaBEETL - A taxonomic classifier
2.1 Introduction to taxonomic classification of microbial communities
2.1.1 Targeted gene metagenomics
2.1.2 Whole genome metagenomics
2.1.3 Taxonomic classification methods
2.2 Algorithmic background
2.2.1 Burrows-Wheeler transformation
2.2.2 Ferragina-Manzini backward search
2.3 metaBEETL - Taxonomic classification of whole genome metagenomic sequences
2.3.1 Simultaneous all-against-all backward search
2.3.2 Taxonomic classification
2.4 Accuracy tests of metaBEETL
2.4.1 Reference database
2.4.2 Accuracy test on a simulated metagenome
2.4.3 metaBEETL accuracy test on a modified database
2.5 Discussion of metaBEETL
3 Metrans - a software platform for the analysis of metatranscriptomes
3.1 Transcription analysis
3.2 Metrans - analysis pipeline and software structure
3.2.1 Metrans analysis pipeline
3.2.2 Data storage and operating system
3.2.3 Software architecture
3.2.4 Graphical user interface
3.3 Application example
3.4 Conclusion
4 Conclusion and outlook
Bibliography
A metaBEETL
A.1 All-against-all backward search
A.2 Taxonomic profile of simulated data