Gene Expression.

10 Abril 2019, 13:30 • Catia Luisa Santana Calisto Pesquita

Mining Microarrays Gene Expression Data. Gene Expression Data. Transcriptome and Transcriptomics. Microarrays. Principles. Data normalization. Microarray repositories. Mining microarray data.Parametric statistical methods, Clustering and Classification approaches. Usage of GO in Gene Expression. Term-ofr term analysis. RNA-seq data analysis. Purpose and goals. RNa-Seq vs Microarrays. RNA sequencers. RNA seq analysis principles. the FASTQ format. Read quality control, Genome mapping. SAM and BAM formats. Sequence aligners: sliced and non spliced. Calculating expression levels. The RNA Seq pipeline