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Computational Methods for the Analysis of Genomic Data and Biological Processes

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...

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HerausgeberIn:	Divina, Federico García-Torres, Miguel
Sonstige:	Gómez Vela, Francisco A. Divina, Federico García-Torres, Miguel
Year of Publication:	2021
Language:	English
Physical Description:	1 electronic resource (222 p.)
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spelling	Gómez Vela, Francisco A. edt Computational Methods for the Analysis of Genomic Data and Biological Processes Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (222 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English Research & information: general bicssc Biology, life sciences bicssc 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 3-03943-771-2 3-03943-772-0 Divina, Federico edt García-Torres, Miguel edt Gómez Vela, Francisco A. oth Divina, Federico oth García-Torres, Miguel oth
language	English
format	eBook
author2	Divina, Federico García-Torres, Miguel Gómez Vela, Francisco A. Divina, Federico García-Torres, Miguel
author_facet	Divina, Federico García-Torres, Miguel Gómez Vela, Francisco A. Divina, Federico García-Torres, Miguel
author2_variant	v f a g vfa vfag f d fd m g t mgt
author2_role	HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige
title	Computational Methods for the Analysis of Genomic Data and Biological Processes
spellingShingle	Computational Methods for the Analysis of Genomic Data and Biological Processes
title_full	Computational Methods for the Analysis of Genomic Data and Biological Processes
title_fullStr	Computational Methods for the Analysis of Genomic Data and Biological Processes
title_full_unstemmed	Computational Methods for the Analysis of Genomic Data and Biological Processes
title_auth	Computational Methods for the Analysis of Genomic Data and Biological Processes
title_new	Computational Methods for the Analysis of Genomic Data and Biological Processes
title_sort	computational methods for the analysis of genomic data and biological processes
publisher	MDPI - Multidisciplinary Digital Publishing Institute
publishDate	2021
physical	1 electronic resource (222 p.)
isbn	3-03943-771-2 3-03943-772-0
illustrated	Not Illustrated
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is_hierarchy_title	Computational Methods for the Analysis of Genomic Data and Biological Processes
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Computational Methods for the Analysis of Genomic Data and Biological Processes

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