Jacob Crawford



Research Overview

My research aims to identify signals of natural selection and demography, especially in non-model systems. I am particularly interested in developing new statistical and computational methods for population genetic analysis using next-generation sequencing data that can be applied to systems with few or no genetic resources.

Selected Publications

Crawford, J.E., Rottschaefer S., Lazzaro B.P. (2012) Analysis of genetic variation in two mosquito-based malaria Transmission-Blocking Vaccine candidates. Submitted

Crawford, J.E.*, Bischoff E.*, Garnier T., Riehle M., Eiglmeier K., Holm I., Markianos K., Vernick K.D., and Lazzaro B.P. (2012) Population-specific evidence of positive selection at immune genes in Anopheles gambiae s.s. sub-groups. In Press at Genes, Genomes, Genetics.

Crawford, J.E., Lazzaro, B.P. (2012). Assessing the accuracy and power of population genetic inference from next-generation re-sequencing data. Frontiers of Evolutionary and Population Genetics, 3:66. doi: 10.3389/fgene.2012.00066.

Crawford, J.E., Guelbeogo W.M., Sanou A., Traore A., Vernick K.D., Sagnon N., and Lazzaro B.P. (2010). De novo transcriptome sequencing in Anopheles funestus using Illumina RNA-seq technology. PLoS One, 5:314202.

Crawford, J.E., Lazzaro B.P. (2010). The demographic histories of the M and S molecular forms of Anopheles gambiae s.s. Molecular Biology and Evolution. 27: 1739-1744.