Computational Genomics with R
DOI10.1201/9780429084317zbMath1482.92002OpenAlexW3107402760MaRDI QIDQ5151092
Publication date: 16 February 2021
Full work available at URL: https://doi.org/10.1201/9780429084317
Rregulationclusteringestimatesdata analysislogistic regressionregressiondecision treespredictive modellingvisualisationdimensionality reductionspreadstatisticsrandom forestsdifferential gene expressioncross validationgenomicscentral tendencyunsupervised machine learninghigh throughput sequencingRNAseqdata pre-processingcentral dogmabisulphite sequencing dataChIPseq analysisclustering using latent factorsfastq/fasta formatgenome arithmeticggplotmulti-omics analysismultiple testing correctionspeak callingread processingsupervise machine learningvisualisation on genome browser
Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Research exposition (monographs, survey articles) pertaining to biology (92-02)
Uses Software
- R
- STAR
- Silhouettes
- Bioconductor
- CRAN
- ggplot2
- FactoMineR
- edgeR
- RStudio
- AUGUSTUS
- GATK
- KEGG
- AS 136
- ShortRead
- FastQC
- Trimmomatic
- TopHat
- BSgenome
- Gviz
- JASPAR
- TFBSTools
- tidyverse
- pheatmap
- XGBoost
- sva
- methylKit
- Bismark
- gage
- DALEX
- Tabix
- HISAT
- systemPipeR
- QuasR
- ChromHMM
- GenomicRanges
- Bowtie 2
- Rtsne
- Salmon
- SMOTE
- PePr
- Rqc
- Rsamtools
- BiocManager
- compGenomRData
- genomation
- ODIN
- gmapR
- normr
- deFuse
- GISTIC2.0
- MAnorm
- GenomicAlignments
- ggbio
- Rbowtie
- Trim Galore
- rGADEM
- rGREAT
- MethylSeekR
- BiSeq
- iClusterPlus
- intePareto
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