000			03771nam a22003615i 4500
001			234040
003			ES-VaUE
005			20221220020537.0
007			cr nn 008mamaa
008			180313s2018 xxu| s |||| 0|eng d
020			_a9781493977178
024	7		_a10.1007/978-1-4939-7717-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aComputational Systems Biology _bMethods and Protocols _cedited by Tao Huang.
250			_a1st edition 2018
264		1	_aNew York, NY _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 417 páginas) _b48 ilustraciones, 38 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1754
505	0		_aDNA Sequencing Data Analysis -- Transcriptome Sequencing: RNA-seq -- Capture Hybridization of Long-range DNA Fragments for High-throughput Sequencing -- The Introduction and Clinical Application of Cell-free Tumour DNA -- Bioinformatics Analysis for Cell-free Tumor DNA Sequencing Data -- An Overview of Genome-Wide Association Studies -- Integrative Analysis of Omics Big Data -- The Reconstruction and Analysis of Gene Regulatory Networks -- Differential Coexpression Network Analysis for Gene Expression Data -- iSeq: Web-based RNA-seq Data Analysis and Visualization -- Revisit of Machine Learning Supported Biological and Biomedical Studies -- Identifying Interactions Between Long Non-coding RNAs and Diseases Based on Computational Methods -- Survey Of Computational Approaches For Prediction of DNA-binding Residues on Protein Surfaces -- Computational Prediction of Protein O-GlcNAc Modification -- Machine Learning Based Modeling of Drug Toxicity -- Metabolomics: A High-throughput Platform for Metabolite Profile Exploration -- Single-Cell Protein Assays--A Review -- Data Analysis in Single-cell Transcriptome Sequencing -- Applications of Single-cell Sequencing For Multi-omics -- Progress on Diagnosis of Tuberculous Meningitis -- Insights of Acute Lymphoblastic Leukemia with Development of Genomic Investigation.
520			_aThis volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics. Chapters detail advanced analysis methods, such as Genome-Wide Association Studies (GWAS), machine learning, reconstruction and analysis of gene regulatory networks and differential coexpression network analysis, and gave a practical guide for how to choose and use the right algorithm or software to handle specific high throughput data or multi-omics data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Systems Biology: Methods and Protocols aims to ensure successful results in the further study of this vital field. .
700	1		_aHuang, Tao _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493977161
776	0	8	_iPrinted edition: _z9781493977185
776	0	8	_iPrinted edition: _z9781493992669
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-7717-8 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2018
999			_c234040 _d234040