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RNA-Seq-Pop: Exploiting the sequence in RNA-Seq - a Snakemake workflow reveals patterns of insecticide resistance in the malaria vector Anopheles gambiae (2022)

First Author: Nagi S

Attributed to: New advances in insecticide resistance genomics: using Machine Learning to predict resistance phenotype from large-scale genomic data. funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2022.06.17.493894

Publication URI: http://dx.doi.org/10.1101/2022.06.17.493894

Type: Preprint