Computational Methods for the Analysis of Genomic Data and Biological Processes

• Autres auteurs: Gómez Vela, Francisco A. (Éditeur intellectuel), Divina, Federico (Éditeur intellectuel), García-Torres, Miguel (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Sujets: Research & information: general; Biology, life sciences; HIGD2A; cancer; DNA methylation; mRNA expression; miRNA; quercetin; hypoxia; eQTL; CRISPR-Cas9; single-cell clone; fine-mapping; power; RNA N6-methyladenosine site; yeast genome; methylation; computational biology; deep learning; bioinformatics; hepatocellular carcinoma; transcriptomics; proteomics; bioinformatics analysis; differentiation; Gene Ontology; Reactome Pathways; gene-set enrichment; meta-analysis; transcription factor; binding sites; genomics; chilling stress; CBF; DREB; CAMTA1; pathway; text mining; infiltration tactics optimization algorithm; classification; clustering; microarray; ensembles; machine learning; infiltration; computational intelligence; gene co-expression network; murine coronavirus; viral infection; immune response; data mining; systems biology; obesity; differential genes expression; exercise; high-fat diet; pathways; potential therapeutic targets; DNA N6-methyladenine; Chou's 5-steps rule; Convolution Neural Network (CNN); Long Short-Term Memory (LSTM); machine-learning; chromatin interactions; prediction; genome architecture; n/a
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bi...