04396nam 2201189z- 450 991055712960332120210501(CKB)5400000000040758(oapen)https://directory.doabooks.org/handle/20.500.12854/68364(oapen)doab68364(EXLCZ)99540000000004075820202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational Methods for the Analysis of Genomic Data and Biological ProcessesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (222 p.)3-03943-771-2 3-03943-772-0 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 bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.Biology, life sciencesbicsscResearch & information: generalbicsscbinding sitesbioinformaticsbioinformatics analysisCAMTA1cancerCBFchilling stressChou's 5-steps rulechromatin interactionsclassificationclusteringcomputational biologycomputational intelligenceConvolution Neural Network (CNN)CRISPR-Cas9data miningdeep learningdifferential genes expressiondifferentiationDNA methylationDNA N6-methyladenineDREBensembleseQTLexercisefine-mappinggene co-expression networkGene Ontologygene-set enrichmentgenome architecturegenomicshepatocellular carcinomaHIGD2Ahigh-fat diethypoxiaimmune responseinfiltrationinfiltration tactics optimization algorithmLong Short-Term Memory (LSTM)machine learningmachine-learningmeta-analysismethylationmicroarraymiRNAmRNA expressionmurine coronavirusn/aobesitypathwaypathwayspotential therapeutic targetspowerpredictionproteomicsquercetinReactome PathwaysRNA N6-methyladenosine sitesingle-cell clonesystems biologytext miningtranscription factortranscriptomicsviral infectionyeast genomeBiology, life sciencesResearch & information: generalGómez Vela Francisco Aedt0Divina FedericoedtGarcía-Torres MigueledtGómez Vela Francisco AothDivina FedericoothGarcía-Torres MiguelothBOOK9910557129603321Computational Methods for the Analysis of Genomic Data and Biological Processes3034921UNINA