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: en open source data integration værktøj til Big data transkriptomics designet til malaria vektor Anopheles malariamyg

JoVE Journal
Biology

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JoVE Journal Biology

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

IR-TEx: en open source data integration værktøj til Big data transkriptomics designet til malaria vektor Anopheles malariamyg

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

Chapters

00:04Title
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

Automatic Translation

IR-TEx udforsker insekt bekæmpende modstands relaterede transkriptionelle profiler i arten Anopheles malariamyg. Forudsat her er fulde instruktioner til brug af programmet, ændringer for at udforske flere transcriptomic datasæt, og ved hjælp af rammerne til at opbygge en interaktiv database for samlinger af transkriptomic data fra enhver organisme, genereret i enhver platform.

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