molecular genetic analyses

Next Generation Sequencing Data Analysis

General Information

Bioinformatics analysis for next generation sequencing is divided into different types of analyses, depending on the application. There are different approaches, whether a de novo assembly needs to be performed or a reference sequence is provided by the customer. In the latter case of re-sequencing, the most common application is exome analysis. Specially enriched target regions address the exons of a genome, only. A detailed discussion and collaboration of the customer's needs is essential and is part of any next generation sequencing project performed at ATLAS Biolabs GmbH.

Service Range and Data Delivery

de novo Sequencing of genomes and transcriptomes. RNA-Seq analysis. ChIP-Seq analysis of a region of interest or a whole genome. Exome Analysis
Primary data analysis:

De-multiplexing of short reads, if necessary.

Quality control: base sequence quality, sequence quality scores, base sequence content, GC content, sequence length distribution, ...

Data delivery: Raw data in FastQ format, quality reports.
Secondary data analysis: (optional) is based upon primary data analysis.
Short read data is assembled to contigs. Short read data is mapped onto one or more customer provided reference sequence(s).
Additional data delivery: BAM and BAI files (Binary Sequence Alignment/Map and Index).
Tertiary data analysis: (optional) is based upon secondary data analysis.
Sequence comparison, BLAST SNP, insertion and deletion detection.
Additional data delivery:
BLAST results
Data is delivered as VCF files (Variant Call Format). Annotation with data from public databases, e.g. dbSNP, DGV, ...
- Expression analysis Identification ChIP-DNA fragments. -
Additional data delivery:
- Statistical analysis, herarchical clustering, PCA, Heatmap, gene annotations, ... Identified peaks, provided in a format compatible for genome browsers (e.g. GFF, BED, ...), annotation of genes in enriched regions. -
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