Bioinformatics solutions
We offer both standard and advanced levels of bioinformatics
analysis service for Illumina Genome Analyzer projects. Please note
that novel algorithms for the analysis of next generation
sequencing data are becoming available at a rapid rate. As a
result, there is often a range of novel software packages from
which to choose. In the following sections we describe some of the
most popular bioinformatics solutions for a particular analysis
type. However our bioinformatics team regularly investigate novel
algorithms for their suitability to data analysis, and can offer
advice on the particular application that will be most appropriate
for your data.
Standard Bioinformatics Service
Our Standard bioinformatics analysis service is currently
included in the price of all sequencing projects. Using proprietary
Illumina Pipeline software, this service includes:
- Image analysis to identify individual clusters
of reads
- At each cycle of the sequencing run, using the relative
intensity levels at each cluster to perform
Base-Calling.
- Generation of sequence reads with associated
quality scores for each base
- Generation of filtered read data, based on the
per-base quality scores.
- Generation of a customised Pipeline report,
summarising run statistics and quality control analysis
Advanced Bioinformatics Service
- Alignment to Reference Sequence
- Mapping of all reads to a specified reference genome
- Statistic report detailing coverage, orientation of mapped
reads, and numbers of unmapped reads
- Summary of coverage available in both graphical and tabular
format
- Visualising sequence data within a genome
browser
- Resequencing and polymorphism detection
- Mutation detection
- Novel mutation discovery
- Annotation of sequence polymorphism
- Functional analysis of target genes
- ChIP Sequencing
- ChIP-seq analysis to determine genomic regions and peaks
- Annotation of ChIP-seq regions and Peaks
- Sequence motif analysis
- Functional analyses of ChIP-seq target genes
- RNA Sequencing
- Identification of exon splice crossing sequencing reads
- Identification of the differences in gene expression between
the control and treated samples
- Identification of the differences in alternative splicing
between the control and treated samples
- Full gene annotation
- Small RNA Sequencing
- Discovering microRNAs and analysis
- Discovering novel microRNAs from deep sequencing data using RNA
secondary structure information