Subsections
[Cr:4, Lc:3, Tt:1, Lb:0]
- Introduction to genes, genomes and genetics Genome sequencing Methods Computational algorithms and analysis
- Genome organization Linear organization, gene clusters, bricks, ridges Three dimensional genome organization, 3C, 4C, 5C, HiC, ChIA-PET
- Genome Evolution Evolution of genome complexity Evolution of non-random genome organization Error mitigation in genome.
- Functional genomics Microarrays, RNAseq, GRO-Seq, RNA-PET; ChIP-chip, ChIP-seq, DamID etc Replication timing, Repli-seq
- Genome and diseases Essential genes and disease genes Genome wide association studies
- Genomic data browsing UCSC genome browser Ensemble genome browser GEO database
- Statistical analysis for genome scale datasets Data normalization FDR calculations Data-mining techniques: clustering, SOM, PCA etc Differential gene expression analysis Function/pathway/motif/gene-set enrichment analysis Peak detection for TF-binding data
- Network perspective of genome regulation DNA-DNA, DNA-protein, protein-protein interaction networks Higher order network of networks
- Arthur M. Lesk, Introduction to Genomics
- Jonathan Pevsner, Bioinformatics and functional genomics
- Sorin Draghici, Statistics and Data Analysis for Microarrays Using R and Bioconductor
