IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector <em>Anopheles gambiae</em>

Victoria A. Ingham; Andrew Bennett; Duo Peng; Simon C. Wagstaff; Hilary Ranson

doi:10.3791/60721

/

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

JoVE Journal
Biologia

This content is Free Access.

JoVE Journal Biologia

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

DOI:

10.3791/60721-v

•

08:22 min

•

January 15, 2020

•

Victoria A. Ingham, Andrew Bennett, Duo Peng, Simon C. Wagstaff, Hilary Ranson

¹Vector Biology,Liverpool School of Tropical Medicine, ²Research Computing Unit,Liverpool School of Tropical Medicine, ³Department of Immunology and Infectious Diseases,Harvard T.H. Chan School of Public Health

Capítulos

00:04Título
00:30Using the IR-TEx Web Application
03:57Downloading and Implementing IR-TEx Locally
04:52Modifying IR-TEx for use with Different Datasets
06:05Results: Microsomal GST Contributes to Insecticide Resistance in Anopheles gambiae and Anopheles coluzzii Mosquitoes from Cte D Ivoire and Burkina Faso
07:31Conclusion

Summary

Tadução automática

IR-TEx explores insecticide resistance-related transcriptional profiles in the species Anopheles gambiae. Provided here are full instructions for using the application, modifications for exploring multiple transcriptomic datasets, and using the framework to build an interactive database for collections of transcriptomic data from any organism, generated in any platform.

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