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Bioinformatics Learning Framework

Society Learning Goals	Articles	Sample Learning Objectives

RNA - Information Transfer [TRANSCRIPTOMICS]
Where are data about the transcriptome found (e.g., expression, epigenomics and structure) and how are they stored and accessed?	An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy	show Identify the euchromatin/heterochromatin boundaries, histone states in a given sequence, and the nucleosome modifications Compare and contrast DNA structure at telomeres and centromeres. Describe the RNA databases available at NCBI (e.g., ESTs, UniGene). Describe the types of metadata that accompany sequence data to make for useful biological interpretation (e.g. biological source, accession number, GeneID, journal articles, etc.).
How can bioinformatics tools be employed to examine transfer of genetic information?	An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure Investigating Cell Signaling with Gene Expression Datasets Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching	show Given a microarray or RNA-seq data file, find the set of significantly differentially expressed genes. Perform motif discovery on the promoter regions of a set of genes identified by a ChIP-seq experiment. Use RNA structure prediction programs (e.g., RNASoft, RNAFold, RNAStructure) to evaluate possible structures for an RNA sequence. Identify the possible different splice isoforms possible from a given gene sequence.