Transcriptome Sequencing
The use of a sequencing approach to transcriptome analysis is
fast becoming an important tool in the analysis of gene expression,
alternative splice sites, allele specific expression and rare or
novel transcripts. Unlike the microarray approach which relies on
known transcripts contained on the array, instead the RNA
population contained in the specific tissue or cell is sequenced
and thus provides an unprecedented view of the transcriptome.
de novo transcriptome sequencing allows the study of
ANY organism without any prior knowledge of sequence.
- RNA Sequencing: RNA-Seq allows the profiling
of the whole population of mRNA in any eukaryotic species and
enables mapping and digital quantification of whole transcripts. It
also provides a rich source of sequence data for assessing
alternative splice events
- Small RNA Discovery & Analysis: Discovery
and profiling of all forms of small non-coding RNA including miRNA
analysis
- CAGE: Cap-Analysis-Gene-Expression in
combination with Next Generation Sequencing offers unmatched
genome-wide views on promoter activities and transcripts. Useful
for promoter identification, transcriptional network analysis and
transcriptome characterisation.
Bioinformatics Solutions
Standard
- Raw data in fastq format
- Manually report with run QC metrics
Advanced
- Aligned reads
- Map and quantify sequencing reads for each gene (known and
novel)
- Identification of exon splice crossing sequencing reads
- Identification of differences in gene expression between
control and treated samples
- Identification of differences in alternative splicing between
control and treated samples
- Full gene annotation
Bioinformatics Support