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Search results (43)

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Flexible and cost-effective genomic surveillance of P. falciparum malaria with targeted nanopore sequencing

de Cesare M. et al, (2024), Nature Communications, 15

Flexible and cost-effective genomic surveillance ofP. falciparummalaria with targeted nanopore sequencing

de Cesare M. et al, (2023)

Malaria protection due to sickle haemoglobin depends on parasite genotype

Band G. et al, (2022), Nature, 602, 106 - 111

Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ‑α3.7I form of α-thalassaemia using genome-wide microarray data

Ndila CM. et al, (2021), Wellcome Open Research, 5, 287 - 287

Genetic surveillance in the Greater Mekong subregion and South Asia to support malaria control and elimination

Jacob CG. et al, (2021), eLife, 10

An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples

Ahouidi A. et al, (2021), Wellcome Open Research, 6, 42 - 42

High-throughput genotyping assays for identification of glycophorin B deletion variants in population studies

Amuzu DSY. et al, (2021), Experimental Biology and Medicine, 246, 916 - 928

The protective effect of sickle cell haemoglobin against severe malaria depends on parasite genotype

Band G. et al, (2021)

An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples

Ahouidi A. et al, (2021), Wellcome Open Research, 6, 42 - 42

An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples

MalariaGEN . et al, (2021)

Author Correction: Investigating the drivers of the spatio-temporal patterns of genetic differences between Plasmodium falciparum malaria infections in Kilifi County, Kenya

Malinga J. et al, (2020), Scientific Reports, 10

Genome variation and population structure among 1142 mosquitoes of the African malaria vector species Anopheles gambiae and Anopheles coluzzii

(2020), Genome Research, 30, 1533 - 1546

Haplotype heterogeneity and low linkage disequilibrium reduce reliable prediction of genotypes for the ‑α 3.7I form of α-thalassaemia using genome-wide microarray data.

Ndila CM. et al, (2020), Wellcome open research, 5

Insights into malaria susceptibility using genome-wide data on 17,000 individuals from Africa, Asia and Oceania

Band G. et al, (2019), Nature Communications, 10

Investigating the drivers of the spatio-temporal patterns of genetic differences between Plasmodium falciparum malaria infections in Kilifi County, Kenya

Malinga J. et al, (2019), Scientific Reports, 9

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