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003			ES-MaUEC
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007			cr nn 008mamaa
008			160426s2016 xxua o |||| 0|eng d
020			_a9781493935727
024	7		_a10.1007/978-1-4939-3572-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2016 EB
245	0	0	_aData Mining Techniques for the Life Sciences _cedited by Oliviero Carugo, Frank Eisenhaber
250			_a2nd edition 2016
264		1	_aNew York, NY _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 552 páginas) _b97 ilustraciones, 84 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 _v1415
505	0		_aUpdate on Genomic Databases and Resources at the National Center for Biotechnology Information -- Protein Structure Databases -- The MIntAct Project and Molecular Interaction Databases -- Applications of Protein Thermodynamic Database for Understanding Protein Mutant Stability and Designing Stable Mutants -- Classification and Exploration of 3D Protein Domain Interactions using Kbdock -- Data Mining of Macromolecular Structures -- Criteria to Extract High Quality Protein Data Bank Subsets for Structure Users -- Homology-based Annotation of Large Protein Datasets -- Identification and Correction Of Erroneous Protein Sequences in Public Databases -- Improving the Accuracy of Fitted Atomic Models in Cryo-EM Density Maps Of Protein Assemblies Using Evolutionary Information From Aligned Homologous Proteins -- Systematic Exploration of an Efficient Amino Acid Substitution Matrix, MIQS -- Promises and Pitfalls of High Throughput Biological Assays -- Optimizing RNA-seq Mapping with STAR -- Predicting Conformational Disorder -- Classification of Protein Kinases Influenced By Conservation of Substrate Binding Residues -- Spectral-Statistical Approach for Revealing Latent Regular Structures in DNA Sequence -- Protein Crystallizability -- Analysis and Visualization of ChIP-Seq and RNA-Seq Sequence Alignments using ngs.plot -- Data Mining with ontologies -- Functional Analysis of Metabolomics Data -- Bacterial Genomics Data Analysis in the Next-Generation Sequencing Era -- A Broad Overview of Computational Methods for Predicting the Pathophysiological Effects of Non-Synonymous Variants -- Recommendation Techniques for Drug-Target Interaction Prediction and Drug-Repositioning -- Protein Residue Contacts and Prediction Methods -- The Recipe for Protein Sequence-Based Function Prediction and its Implementation in the Annotator Software Environment -- Big Data, Evolution, and Metagenomes: Predicting Disease from Gut Microbiota Codon Usage Profiles -- Big Data in Plant Science: Resources and Data Mining Tools for Plant Genomics and Proteomics. .
520			_aHigh throughput sequencing (HTS) technologies have conquered the genomics and epigenomics worlds. The applications of HTS methods are wide, and can be used to sequence everything from whole or partial genomes, transcriptomes, non-coding RNAs, ribosome profiling, to single-cell sequencing. Having such diversity of alternatives, there is a demand for information by research scientists without experience in HTS that need to choose the most suitable methodology or combination of platforms and to define their experimental designs to achieve their specific objectives. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing.
988			_aSpringer_Protocols_2016
650		7	_2embne _9160489 _aBioinformática
776	0	8	_iPrinted edition: _z9781493935703
776	0	8	_iPrinted edition: _z9781493935710
776	0	8	_iPrinted edition: _z9781493980819
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-3572-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI