Sanger Sequencing Client Portal

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Sanger Sequencing Client Portal

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NGS-archive

Source Genomics are one of Europe’s leading providers of commercial sequencing, offering Next Generation Sequencing services on the most prominent platforms, including Illumina's HiSeq, NextSeq & MiSeq and the Thermo Fisher Ion Torrent.

Our custom service has been awarded Illumina Propel™ status and operates through a robust and highly audited quality management system.

Whole Exome Sequencing

Whole exome sequencing (WES) is the affordable and quick option where your interest is limited to the protein-coding exons, as it requires sequencing of only 1-2% of the genome. If required, additional or custom content such as UTRs and miRNA code can also be included.

Exome Panel Options: Source Genomics ISO-accredited whole exome sequencing service primarily uses Agilent and Roche exome panels. We can also provide access to smaller and custom panels using a supplier best suited to your research needs. Additionally, we also provide targeted enrichment sequencing solutions using either Illumina or ION torrent technologies.

Whole Genome Sequencing

We provide whole genome sequencing for both large (Mammalian/Plant) and small (Bacterial) genomes, providing advice on the most appropriate library preparation and sequencing platform for your project.

By sequencing the entire genome, we can analyse larger structural differences between different samples. Occurrences such as translocations are difficult to identify by targeted methods, as the complete regions of interest are often not covered.

It is possible to sequence novel organisms and assemble the sequencing data by a de novo assembly to provide an accurate sequence for a previously unknown organism.

RNA Sequencing

Source Genomics can offer analysis of different RNA Species (coding, non-coding and small transcripts) from a lengthy range of starting material using long and short read sequencing.

Total RNA Sequencing

Total RNA sequencing involves the sequencing of all the RNA within a sample. Usually, the ribosomal RNA is removed from a sample, as this RNA is highly abundant and is non-coding. Additionally, mitochondrial RNA may also be removed. By sequencing the entire total RNA, however, we can look not only at the protein coding messenger RNA, but also the RNA transcripts involved in interference and regulation of different genes.

Transcriptome Sequencing

Transcriptome sequencing involves sequencing the mRNA, the RNA which directly codes for proteins. By sequencing the mRNA, it is possible to identify which genes are over-and-under expressed, as well as identifying novel transcripts within the transcriptome. We also provide de novo transcriptome assembly for organisms previously not sequenced.

Small RNA Sequencing

Small RNA sequencing utilises a preparation which selects for small RNAs within a sample. By sequencing small RNAs, and analysing which are expressed, the presence of interfering molecules can be identified, which is important for post-transcriptional gene silencing and regulation.

Sc (single cell) RNA Sequencing

Single cell sequencing provides a higher resolution of cellular differences and a better understanding of the transcriptome of an individual cell in the context of its micro-environment.

We provide run-only options leaving you the flexibility to choose the library preparation supplier of your choice, to best suit your needs. Additionally, we can support library preparation from 10x Genomics experiments from cDNA generation.

Targeted Sequencing

Targeted sequencing involves sequencing a small region or set of regions of the genome, such as particular chromosomes, exomes, or individual genes of scientific or clinical interest.

This is highly cost-effective as an alternative to whole genome sequencing, especially when only a small portion of the genome is required. Due to the smaller size of the regions targeted sequencing captures, deeper sequencing can be performed at a lower cost, ensuring rare and novel mutations are captured by the sequencing.

Targeted sequencing is at the forefront of cancer research and treatment. By sequencing known genes of clinical relevance, mutations can be detected which may influence response to a treatment, allowing oncologists to select a more effective therapy.

A variety of options are available for targeted sequencing:

  • Custom designed targeted enrichment
  • Next generation sequencing panels
  • Exome sequencing
  • Amplicon sequencing

Metagenomics

Metagenomic analysis provides information on the species present and the quantity of a species within a sample. This extra information provides the ability to perform studies looking at changes in diversity between differing sites or over a time period.

Utilising the Illumina MiSeq, we can multiplex hundreds of samples per lane, providing a cost-effective solution for large diversity projects.

For eukaryotic identification, sequencing of the 18SV9 region is routinely performed; however, sequencing of other regions is also offered.

Bioinformatics & Computational Analysis

Source Genomics offers a range of bioinformatics & computational analysis options to aid researchers in the interpretation of their data.

We understand the need for biological and clinical data analysis and support. That's why our Bioinformatics Services feature:

  • Free initial consultation on experimental design
  • Large selection of software tools & packages
  • Primary & secondary data analysis
  • Related downstream data analysis workflows

We offer a comprehensive range of NGS and microarray bioinformatics services to suit your needs: from basic analysis and quality checking, through to advanced approaches to get the most from your experimental data.

 Bioinformatic Analyses for Next Generation Sequencing

  • Genome de-novo assembly of Read Data
  • De-novo assembly of reads into sequence contigs
  • Generation of contig sequences in FASTA format and a contig report containing basic size statistics of contigs
  • Structural annotation

  • Resequencing & Variant Calling
  • Alignment of reads against a reference genome
  • Identification of germline variants or somatic mutations
  • Annotation of the impact of the variants

  • Transcriptome De-novo Assembly of Read Data
  • De-novo assembly of reads into sequence contigs
  • Generation of contig sequences in FASTA format and a contig report containing basic size statistics of contigs
  • Functional annotation

  • RNA Sequencing
  • Alignment of reads against a reference genome
  • Calculation of gene expression levels
  • Calculation of differential gene expression levels between samples/groups
  • Identification of exon splice crossing sequencing reads

  • Metagenomics Analysis
  • Blasting of reads against the appropriate database
  • List of Taxonomic classification with percentage of each classification in the sample 

Bioinformatic Analyses for Gene Expression Microarrays

  • Calculation of gene expression levels
  • Calculation of differential gene expression levels between samples/groups
  • Identification of splice events

Our experienced bioinformaticians can provide a complete analysis package that can be customised to your specific research needs. Please contact us for further details.

 

Bioinformatics - analysis support

By choosing Source Genomics you benefit from

  • Personalised project design
  • Individual Project Managers for each project
  • Knowledgeable scientists with considerable PCR experience
  • Specialist bioinformaticians to handle and interpret data
  • Specialist reports supplied
  • Fast turnaround times
  • Comprehensive, competitive quotes

Deliverables

Once all analysis has been completed, all data is returned to the customer via secure FTP site download or external hard drive. This will include:

  • All intermediate files generated during analysis. Retention of this data by the customer allows further experiments to be carried out in the future, without needing to re-sequence samples
  • Final (filtered) output data, in FASTA or FASTQ format. FASTQ is a modification of the popular FASTA format, with quality scores assigned to each base-call.
  • Data from all bioinformatics analysis that have been performed. File formats will depend on the analysis.