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Transcriptome Sequencing Modules

 
 
Microsynth has developed several bioinformatic modules in the transcriptome sequencing area. The modules are used for our full service applications, but can also be used for bioinformatics only projects. These so called stand-alone modules can be extended with our complementary services.

RNA Sequencing

 
 
RNA Sequencing Module
The analysis comprises mapping of the reads to the reference genome, determination of gene expression and comparative statistical analysis.
 
 

Suitable Complementary Service Modules:

Example results of the RNA sequencing module.

small RNA Sequencing

 
 
Small RNA Sequencing Module
Small RNA analysis comprises mapping of the reads to a reference genome, differential expression analysis, clustering of small RNAs and homology search against databases of known small RNAs (if available), peak finding, motif search and annotation thereof.
 
 

Example results of the small RNA sequencing module.

Reference Transcriptome Sequencing

 
 
Reference Transcriptome Sequencing Module
The transcriptome de novo assembly is run with the most suitable parameters for the sequenced organism. The resulting contigs are first refined and then annotated by BLAST and HMMER querying the Swissprot and Pfam databases. The annotation is enriched by various cross-references such as GO-terms and KEGG-IDs.
 
 

Example results of the reference transcriptome sequencing module.

Shotgun Metatranscriptomics

 
 
Shotgun Metatranscriptomics Module
Reads are aligned against a protein reference database and phylogenetic, functional and ontology information is annotated. Beside sequencing results in fastq format the aligned and enriched data is provided in MEGAN-format facilitating seamless further analysis and data exploration with the open source community edition of MEGAN which can be obtained freely from the University of Tübingen.

Link to MEGAN6:

http://ab.inf.uni-tuebingen.de/software/megan6/.

 

Suitable Complementary Service Modules:

Example results of the shotgun metatranscriptomics module.