Performing quantitative RNAseq technical requirements. Estimating differential expression with edgeR -- Estimating differential expression with DESeq2 -- Power analysis with powsimR -- Finding unannotated transcribed regions -- Findig regions showing high expression ab initio with bumphunter -- Differential peak analysis -- Estimating batch effects using SVA -- Findig allele-specific expresions with alleliclmbalace -- Plotting and presenting RNAseq data -- Finding genetic variants with HTS Data -- Tecmocañ requirements. Finidg SNPs and indels from sequence data using variant tools. Predicting open reading frames in long reference sequences. Plotting features on genetic maps with karyoploteR -- Selecting and classifying variants with variantannotation -- Extracting information in genomic regions of interest -- Finding phenotype and genotype asociations with GWAS -- Estimating the copy number at a locus of interest -- Searching genes and proteins for domains and motifs tecnical requirements -- Findig DNA motifs with universalmotif -- Finding protein domains with PFAM and bio3d -- Findig Interpro domains -- Performing multiple alignments of genes or proteins -- Aligning genomic length sequences with DECIPHER -- Machine learning for novel feature detection in proteins - 3D structure protein alignment with bio3d -- Phylogenetic analysis and visualization technical requirements -- Metagenomics -- Technical requirements -- Proteomics form spectrum to annotation -- Producing publication and web-ready visualizations -- Working with databases and remote data sources -- Useful statistical and machine learning methods -- Programming with tydyverse and bioconductor -- Building objects and packages for code reuse