
By grouping similar sequences as clusters it is possible to display expressed genes better than if an assembly were carried out. Even the existence of frequently occurring primary structures of homologous proteins can possibly lead to incorrect assemblies. Clustering minimizes this danger. This means more informative expression profiles can be generated and more detailed functional information on the proteins can be obtained.
In addition to the clustered raw data, your will receive extensive clustering tables, cluster/tag distribution tables and clear diagrams.
| Method | File format |
|---|---|
| Clustering of raw data (cDNA) | fasta, qual |
| Clustering table | xls, ace |
| Cluster / tag distribution table (UTR, regulomes) | xls, txt |
| Cluster / tag distribution diagram (UTR, regulomes) | png |
(D) +49 - 7531 81 60 68
(F) +33 - 4 91 82 84 88
(GB) +44 - 207 691 4921
(S) +46 - 8 655 3609
Opening hours:
8 am - 6 pm CET (Mon-Fri)
Roche GS De Novo Assembler (454 Life Science / Roche)
MIRA (Mimicking Intelligent Read Assembly, Bastien Chevreux)
Velvet (EMBL-EBI, Cambridge, UK)
Edena (Exact De Novo Assembler)
ELAND (Efficient Large-Scale Alignment of Nucleotide Databases)
Mosaik (Reference guided aligner/assembler)
MAQ (Mapping and Assembly with Qualities)
SOAP (Short Oligonucleotide Alignment Program)
More software for Next Generation sequencing...