LSTM provides facilities and expertise supporting a full range of laboratory, qualitative, theoretical and field based studies. These include cutting edge scientific computing tools​ and high quality hardware​for data analysis, coupled to a high speed data network and filestores​ for efficient management, transfer and archiving​ of data.


A web-based application written in Shiny R to explore available transcriptomic data comparing resistant and susceptible populations of Anopheles gambiae, coluzzii and arabiensis mosquitoes.