Data
Access data from whole-genome sequencing of Anopheles mosquitoes collected from natural populations in countries affected by malaria.
Explore the unknowns in Anopheles mosquito biology and control.
The observatory is a collaborative effort to sequence the genomes of thousands of Anopheles mosquitoes collected in countries affected by malaria, and use those data to help answer some of the big questions in our path towards malaria elimination.
Despite more than a century of research, we still have much to learn about the mosquitoes that transmit malaria.
(1) How is malaria is being transmitted?
We need a better picture of which Anopheles mosquito species are transmitting malaria in different places, and we need to fully understand the biology of those species. We also need to know how this is changing in response to interventions, urbanisation and climate change.
(2) Where and how is insecticide resistance evolving and spreading?
Insecticide resistance is the biggest threat to our current front line tools for mosquito control. When resistance emerges, we need to identify and characterise it quickly, assess the risk, and track it as it spreads.
(3) How can we move beyond control towards elimination?
Our current tools for mosquito control can only take us so far. We need to invent new ways to stop mosquitoes transmitting malaria, and be smart in how we use them.
By sequencing mosquitoes and making the data available for surveillance, research and education, the observatory provides an opportunity to shed new light on these questions.
Get StartedAccess carefully-curated data which has been optimised for analysis in the cloud.
Learn how to analyse data in the observatory through our hands-on online training course.
Use our open source Python package to explore and visualise data interactively.
Access free cloud computing services to analyse data wherever you are.
Scientists and engineers from around the globe are contributing samples, data and expertise to help build the observatory.
Data from the observatory are powering new research into vector biology and control.
Access data from whole-genome sequencing of Anopheles mosquitoes collected from natural populations in countries affected by malaria.
Learn about the biology, technology, data and analytical methods involved in genomic surveillance of Anopheles mosquitoes.
Video lectures in French or English and notebooks with executable code examples.
Study at your own pace, or enroll in an online course to learn alongside others with support from experienced teaching assistants.
Built for exploratory population genomics, our cloud-native analytical software for Python supports a range of data access and visualisation functions.
Run your analysis in the cloud using these computing services.
Colab is an interactive computing service provided for free by Google Research and is ideal for exploratory analyses.
The Genomic Surveillance Unit at the Sanger Institute hosts a JupyterHub service running in Google Cloud that is available for free to observatory partners for more intensive analyses.
Terra is a cloud platform for biomedical research supporting workflows and interactive notebooks, and can be used for a wide range of analyses.
Alternatively, observatory data can be downloaded to your own compute resources to run analyses locally.
Groups and individuals from around the world have contributed biological samples, sequencing capacity, computational resources, time and expertise to build the observatory.
The observatory is the result of a concerted effort by multiple projects and initiatives.
The Pan-African Mosquito Control Association (PAMCA) Anopheles Genomics programme is working to build capacity for malaria vector genomics across Africa.
The Genomics for African Anopheles Resistance (GAARD) project aims to identify new genes and regulatory regions associated with insecticide resistance.
Target Malaria is developing innovative approaches to reduce the population of malaria-transmitting mosquitoes in sub-Saharan Africa.
The PAMGEN project is researching genetic interactions between malaria parasites, vectors and human communities across different African environments.
The Malaria Genomic Epidemiology Network (MalariaGEN) aims to create genetic data resources to support the control and elimination of malaria.
Data from the observatory are powering new and ongoing research into the biology and control of malaria vectors.
Lucas et al. (2023) Nature Communications.
St. Laurent et al. (2022) Nature Communications Biology.
Grau-Bové et al. (2021) PLoS Genetics.
Clarkson et al. (2021) Molecular Ecology.
Xue et al. (2021) Molecular Biology and Evolution.
Grau-Bové et al. (2020) Molecular Biology and Evolution.
Khatri and Burt (2019) Molecular Biology and Evolution.
Kern and Schrider (2018) G3 Genes|Genomes|Genetics.
