About METdb !

The marine environment is extremely diverse and by far the largest habitat on Earth. Unlike marine prokaryotes, very little genomic data from marine organisms are available so far. In this context, we tends to develop a genomic reference database dedicated to micro-eukaryotic marine species transcriptomes, namely METdb. Most datasets were from Marine Microbial Eukaryote Transcriptome Sequencing Project and others from Roscoff marine station and Tara research projects. All datasets were assembled and analyzed using two workflows dedicated to de novo assembly and functional annotation both developed with the CWL workflow management system. The assembly compartment includes evaluation, filtering and trimming of raw data and the de novo assembly and evaluation of assembled transcripts. The annotation compartment defines the presence of coding regions and functional annotation is performed. Here is the link to the github CWL repository: (https://github.com/EBI-Metagenomics/workflow-is-cwl/tree/assembly/workflows). The resource includes transcriptome assemblies and associated data (metrics and annotations) of 463 distinct marine micro-eukaryotic taxa.

Project Members

References

• Guita Niang, Mark Hoebeke, Arnaud Meng, Xi Liu, Maxim Scheremetjew, Rob Finn, Eric Pelletier, Erwan Corre 'METdb: A GENOMIC REFERENCE DATABASE FOR MARINE SPECIES' https://doi.org/10.7490/f1000research.1118000.1
• Keeling, Patrick J., Fabien Burki, Heather M. Wilcox, Bassem Allam, Eric E. Allen, Linda A. Amaral-Zettler, E. Virginia Armbrust, et al. 2014. ‘The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): Illuminating the Functional Diversity of Eukaryotic Life in the Oceans through Transcriptome Sequencing’. PLOS Biology 12 (6): e1001889. https://doi.org/10.1371/journal.pbio.1001889
• Johnson, Lisa K., Harriet Alexander, and C. Titus Brown. 2019. ‘Re-Assembly, Quality Evaluation, and Annotation of 678 Microbial Eukaryotic Reference Transcriptomes’. GigaScience 8 (4). https://doi.org/10.1093/gigascience/giy158
• MMETSP CLEANUP: https://github.com/kolecko007/mmetsp_cleanup