
AbstractForward genetic screens using retroviral (or transposon) gene-trap vectors in a haploid genome revolutionized the investigation of molecular networks in mammals. However, the sequencing data generated by Phenotypic interrogation followed by Tag sequencing (PhiT-seq) were not well characterized. The analysis of human and mouse haploid screens allowed us to describe PhiT-seq data and to define quality control steps. Moreover, we identified several blind spots in both haploid genomes where gene-trap vectors can hardly integrate. Integration of transcriptomic data improved the performance of candidate gene identification. Furthermore, we experimented with various statistical tests to account for biological replicates in PhiT-seq and investigated the effect of normalization methods and other parameters on the performance. Finally, we developed: VISITs, a dedicated pipeline for analyzing PhiT-seq data (https://sourceforge.net/projects/visits/).
Mammals, Genetic Vectors, Reproducibility of Results, Molecular Sequence Annotation, Sequence Analysis, DNA, Haploidy, high-throughput screening, Article, high-throughput screening; Software, Mice, Phenotype, Databases as Topic, Genetic Techniques, ROC Curve, Animals, Humans, Gene Regulatory Networks, Promoter Regions, Genetic, Transcriptome, Software
Mammals, Genetic Vectors, Reproducibility of Results, Molecular Sequence Annotation, Sequence Analysis, DNA, Haploidy, high-throughput screening, Article, high-throughput screening; Software, Mice, Phenotype, Databases as Topic, Genetic Techniques, ROC Curve, Animals, Humans, Gene Regulatory Networks, Promoter Regions, Genetic, Transcriptome, Software
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