Bioinformatics & Computational Analysis

Source BioScience 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
  • ChIP sequencing
    • Alignment of reads against a reference genome
    • ChIP-seq analysis to determine peaks and their genomic regions and peaks
    • Peak annotation (nearest gene information)
  • 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

 If you have any questions or would like to discuss your requirements please contact us.