Sub-grouping of Plasmodium falciparum 3D7 var genes based on sequence analysis of coding and non-coding regions

Thomas Lavstsen; Ali Salanti; Anja T. R. Jensen; David E. Arnot; Thor G. Theander

doi:10.1186/1475-2875-2-27

Home SearchPaper Details

Sub-grouping of Plasmodium falciparum 3D7 var genes based on sequence analysis of coding and non-coding regions

Thomas Lavstsen, Ali Salanti, Anja T. R. Jensen, David E. Arnot, Thor G. Theander

BioMed Central (2003) • Volume 2, Issue 1, Pages 27-27

PDF Available

Quick Actions

Read Full Paper

Publication Info

DOI

10.1186/1475-2875-2-27

Language

English

Topic

Malaria Research and Control

Keywords

Plasmodium falciparum, Coding region, Biology, Genetics, Coding (social sciences), Parasitology, Gene, Computational biology, Sequence analysis, Sequence (biology), Evolutionary biology, Malaria, Statistics, Mathematics, Immunology, Zoology

Published

September 10, 2003

Citations

355 citations

FWCI

13.58

External Resources

DOI Link OpenAlex

Sub-grouping of Plasmodium falciparum 3D7 var genes based on sequence analysis of coding and non-coding regions

Quick Actions

Publication Info

External Resources

Suggested Papers

Three-year outcomes of post-acute sequelae of COVID-19

Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Myelin autoreactivity in multiple sclerosis: recognition of myelin basic protein in the context of HLA-DR2 products by T lymphocytes of multiple-sclerosis patients and healthy donors.

Suggested Papers

Suggested Papers

Three-year outcomes of post-acute sequelae of COVID-19

Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Myelin autoreactivity in multiple sclerosis: recognition of myelin basic protein in the context of HLA-DR2 products by T lymphocytes of multiple-sclerosis patients and healthy donors.