 Genome @-@ scale RNAi research relies on high @-@ throughput screening ( HTS ) technology . RNAi HTS technology allows genome @-@ wide loss @-@ of @-@ function screening and is broadly used in the identification of genes associated with specific phenotypes . This technology has been hailed as the second genomics wave , following the first genomics wave of gene expression microarray and single nucleotide polymorphism discovery platforms . One major advantage of genome @-@ scale RNAi screening is its ability to simultaneously interrogate thousands of genes . With the ability to generate a large amount of data per experiment , genome @-@ scale RNAi screening has led to an explosion data generation rates . Exploiting such large data sets is a fundamental challenge , requiring suitable statistics / bioinformatics methods . The basic process of cell @-@ based RNAi screening includes the choice of an RNAi library , robust and stable cell types , transfection with RNAi agents , treatment / incubation , signal detection , analysis and identification of important genes or therapeutical targets . 
