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Walter Pirovano

Bioinfomatics

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Bioinformatic analysis

We offer various analysis options for next generation sequencing data. 

1. Genome mapping/resequencing: alignment of data against the reference sequence, when available. The customer will get the contigs that are arranged from the alignment. 
    
2. De novo assembly in which we provide the customer with the contigs that are created.  
    
3. Digital Gene Expression Analysis: The bioinformatics analysis consists in the following steps: 
   a. Extraction of tags from the raw sequencing reads
   b. Counting tags including a sequencing-error correction algorithm
   c. Creating a virtual tag list based on an annotated reference genome or an EST-library
   d. Annotating the tag counts with gene names from the virtual tag list
    
   The end result is a fully annotated table including all statistics concerning the tag expression values.
   Moreover DGE expression data from different samples can be easily compared in only one overview. 
    
4. Detection and identification of SNPs, indels and rearrangements.
    
5. Genome annotation:  Genome and sequence identification, including possibilities for genome screening and motif searches
    
6. Transcriptome analysis:
   a. Alignment against a reference sequence and identification of transcript variants
   b. Analysis of the expression levels
    
7. Additional possibilities, which will be developed in collaboration with our bioinformatics specialist, include:
   a. Gap closure
   b. Combining Sanger and Illumina data
   c. Statistical analysis of expression levels and/or transcription levels
    
8. CLC Bio Software, which enables customers to analyse the data further independently.
   More >>>
    
9. Own Baseclear tools: Click here >>

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