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Jakobi, Tobias: Bioinformatic methods for eukaryotic RNA-Seq-based promoter identification. 2014
Inhalt
Introduction
The Chinese hamster
CHO cell lines
Applications
Recent development
About this work
Scientific work
Manuscript structure
Background
DNA sequencing
Sanger sequencing
Assessment of sequencing quality
Next generation sequencing
Post next generation sequencing
Promoter analysis
The eukaryotic transcription process
Promoters in industrial biotechnology
The eukaryotic core promoter
Methods of transcription start site identification
Genome sequence assembly
The sequence assembly problem
Greedy algorithm based methods
Overlap graph based methods
de Bruijn graph based methods
Prerequisites for nucleotide-level promoter analysis
Motivation and thesis aims
Targeted assembly with SATYR
Introduction
Previous work
Software requirements
Principal software design and methods
Software workflow
The Burrows-Wheeler transform
Implementation of SATYR
I/O and supplementary functions
Working with the BWT
Iterated assembly
Results
Prokaryotic Escherichia coli K12 MG1665 dataset
Eukaryotic CHO-K1 ATCC CCL61 dataset
Targeted assembly on eukaryotic scale
TSS identification in the Chinese hamster by RNA sequencing
Previous approaches
A dual-library RNA sequencing approach for TSS detection
Cell line and culture conditions
Library construction and sequencing
Bioinformatics analysis pipeline
Overview of pipeline modules
General implementation
Preprocessing
Transcription start site identification and annotation
Promoter analysis
Results
Preprocessing
Identification of transcription start sites
Annotation of transcription start sites
Gene Ontology classification of transcription start sites
KEGG based mapping of genes of transcription start sites
Insights into the Chinese hamster promoter landscape
Promoter landscapes of the Chinese hamster
Analysing Chinese hamster promoters on the gene level
A successful combination
Discussion
TSS identification in the Chinese hamster by RNA sequencing
Targeted assembly with SATYR
Final remarks