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metagenomics, microbial diversity and cloud computing

your metagenomics data quickly analyzed using cloud computing

Metagenomics has brought new challenges to bioinformatics. Cloud computing solves the problem of massive data analysis providing scalable, real time, on demand computing for metagenomics data analysis. From 16S rRNA analysis to functional profiling of complex metagenomics samples, we offer a quick analysis of massive data.


Our NGS data annotation process:


  • Tolerant to errors inherent to NGS
  • Able to annotate huge ammount of sequences
  • Biodiversity profile
  • Functional profile
  • Customized to client specific goals

Our results:

  • A quick and complete annotation
  • Rich in functional annotations
  • Deliverables in standard formats compatible with third party tools


Turnaround times:

  • one million of sequences in one month
  • Metagenomics Express: one million of sequences in one week!

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Traditional microbial genome sequencing relies upon cultivated clonal cultures but new era of genomics is facing a new challenge: the metagenomics analysis. Genomics analysis of the microbial communities contained in an environmental sample is one of the applications of the 454 technologies since long reads ensure the enormous specificity needed to distinguish different sequences within a natural sample that can include similar sequences.


Era7 Bioinformatics is specially committed to provide assistance in the management of metagenomics data. We are expert in bacterial genomics (see our research lines and publications) and have experience in the development of databases of sequences in this field (See publications).


We adapt our metagenomics data analysis service to the requirements of each project and design solutions totally adapted to specific goals such as detection of proteins with specific functionalities or enzymatic activities, analysis of biodiversity, study of the abundance of microbial species under varying environmental conditions or analysis of metabolic pathways. When the analysis requires supercomputation capabilities we use cloud computing