New Results
Characterizing and predicting cyanobacterial blooms in an 8-year amplicon sequencing time-course
Nicolas Tromas, Nathalie Fortin, Larbi Bedrani, Yves Terrat, Pedro Cardoso, David Bird, Charles W. Greer, View ORCID ProfileB. Jesse Shapiro
doi: https://doi.org/10.1101/058289
Nicolas Tromas
1Département de sciences biologiques, Université de Montréal, 90 Vincent-d’Indy, Montréal, QC, Canada, Montréal, QC H2V 2S9, Canada
Nathalie Fortin
2National Research Council Canada, Energy, Mining and Environment, 6100 Royalmount Avenue, Montréal, QC H4P 2R2, Canada
Larbi Bedrani
1Département de sciences biologiques, Université de Montréal, 90 Vincent-d’Indy, Montréal, QC, Canada, Montréal, QC H2V 2S9, Canada
Yves Terrat
1Département de sciences biologiques, Université de Montréal, 90 Vincent-d’Indy, Montréal, QC, Canada, Montréal, QC H2V 2S9, Canada
Pedro Cardoso
4Finnish Museum of Natural History University of Helsinki, P.O. Box 17 (Pohjoinen Rautatiekatu 13) 00014 Helsinki, Finland
David Bird
3Université du Québec à Montréal, Faculté des sciences, Département des sciences biologiques, Case postale 8888, Succ Centre-ville, Montréal, QC H3C 3P8, Canada
Charles W. Greer
2National Research Council Canada, Energy, Mining and Environment, 6100 Royalmount Avenue, Montréal, QC H4P 2R2, Canada
B. Jesse Shapiro
1Département de sciences biologiques, Université de Montréal, 90 Vincent-d’Indy, Montréal, QC, Canada, Montréal, QC H2V 2S9, Canada
You do not have access to the full text of this article, the first page of the PDF of this article appears above.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Posted March 16, 2017.
Characterizing and predicting cyanobacterial blooms in an 8-year amplicon sequencing time-course
Nicolas Tromas, Nathalie Fortin, Larbi Bedrani, Yves Terrat, Pedro Cardoso, David Bird, Charles W. Greer, B. Jesse Shapiro
bioRxiv 058289; doi: https://doi.org/10.1101/058289
Subject Area
Subject Areas
- Biochemistry (11494)
- Bioengineering (8569)
- Bioinformatics (28731)
- Biophysics (14725)
- Cancer Biology (11850)
- Cell Biology (17059)
- Clinical Trials (138)
- Developmental Biology (9274)
- Ecology (13966)
- Epidemiology (2067)
- Evolutionary Biology (18064)
- Genetics (12105)
- Genomics (16554)
- Immunology (11656)
- Microbiology (27534)
- Molecular Biology (11324)
- Neuroscience (59850)
- Paleontology (446)
- Pathology (1839)
- Pharmacology and Toxicology (3169)
- Physiology (4853)
- Plant Biology (10222)
- Synthetic Biology (2827)
- Systems Biology (7271)
- Zoology (1606)