This data release includes whole genome sequences from over 1000 An. darlingi mosquitoes collected from 16 different sites across Colombia, Venezuela, Peru, Brazil, French Guiana and Guyana. Researchers from The Broad Institute of MIT and Harvard have generated whole genome sequence data for more than 1000 An. darlingi individuals from six countries, forming the basis for the first large open data resource on the main malaria vector in the Amazon basin or any neotropical mosquito.
Data sets
Adar1.0 Contributing Studies
1357 - Anopheles darlingi vector surveillance in Brazil
1358 - Anopheles darlingi vector surveillance in French Guiana
1359- Anopheles darlingi vector surveillance in Guyana
1360 - Anopheles darlingi vector surveillance in Peru
Adar1.0 Data Availability
This data release includes sample metadata, whole genome sequence data, and genome-wide SNP calls from whole genome sequencing of over 1000 mosquitoes collected from Colombia, Venezuela, Peru, Brazil, French Guiana and Guyana. These individuals are all An. darlingi. These data are hosted in Google Cloud. For more information about accessing data in the cloud, please see the cloud data access guide.
Adar1.0 Terms of Use
Data from this project will be made publicly available before journal publication. Unless otherwise stated, analyses of project data are ongoing and publications are in preparation by project partners, and it is not permitted to use project data for publication (including any type of communication with the general public) without prior permission from the originating partner studies.
Although malaria is generally an endemic rather than an epidemic disease, and the focus of this project is on surveillance of disease vectors rather than pathogens, our data terms of use build on MalariaGEN's approach to data sharing, and adopt norms which have been established for rapid sharing of pathogen genomic data during disease outbreaks. The primary rationale for this approach is that malaria remains a public health emergency, where ethically appropriate and rapid sharing of genomic surveillance data can help to detect and respond to biological threats such as new forms of insecticide resistance, and to adapt malaria vector control strategies to different settings and changing circumstances.
If you have any questions regarding these terms of use, please contact support@malariagen.net.
Adar1.0 Whole genome sequencing and variant calling
Researchers from The Broad Institute of MIT and Harvard generated this whole genome sequence data, for more details please ask the study contact.