↓ Skip to main content

PLOS

De Novo Transcriptome Sequencing in Anopheles funestus Using Illumina RNA-Seq Technology

Overview of attention for article published in PLOS ONE, December 2010
Altmetric Badge

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
388 Mendeley
citeulike
4 CiteULike
Title
De Novo Transcriptome Sequencing in Anopheles funestus Using Illumina RNA-Seq Technology
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0014202
Pubmed ID
Authors

Jacob E. Crawford, Wamdaogo M. Guelbeogo, Antoine Sanou, Alphonse Traoré, Kenneth D. Vernick, N'Fale Sagnon, Brian P. Lazzaro

Abstract

Anopheles funestus is one of the primary vectors of human malaria, which causes a million deaths each year in sub-Saharan Africa. Few scientific resources are available to facilitate studies of this mosquito species and relatively little is known about its basic biology and evolution, making development and implementation of novel disease control efforts more difficult. The An. funestus genome has not been sequenced, so in order to facilitate genome-scale experimental biology, we have sequenced the adult female transcriptome of An. funestus from a newly founded colony in Burkina Faso, West Africa, using the Illumina GAIIx next generation sequencing platform.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 388 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 3%
United Kingdom 7 2%
Spain 5 1%
Germany 4 1%
Canada 3 <1%
Brazil 2 <1%
Portugal 2 <1%
Austria 1 <1%
Pakistan 1 <1%
Other 10 3%
Unknown 342 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 28%
Researcher 90 23%
Student > Master 53 14%
Student > Bachelor 24 6%
Professor > Associate Professor 19 5%
Other 57 15%
Unknown 38 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 254 65%
Biochemistry, Genetics and Molecular Biology 51 13%
Computer Science 11 3%
Medicine and Dentistry 6 2%
Engineering 4 1%
Other 20 5%
Unknown 42 11%