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Autor Mandoiu, Ion. |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsqueda16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings / Cai, Zhipeng ; Mandoiu, Ion. ; Narasimhan, Giri ; Skums, Pavel ; Guo, Xuan
TÃtulo : 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings Tipo de documento: documento electrónico Autores: Cai, Zhipeng, ; Mandoiu, Ion., ; Narasimhan, Giri, ; Skums, Pavel, ; Guo, Xuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 418 p. 143 ilustraciones, 110 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-57821-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Bioinformática IngenierÃa Informática Red de computadoras Inteligencia artificial IngenierÃa Informática y Redes BiologÃa Computacional y de Sistemas Clasificación: 570.285 Resumen: Este libro constituye las actas del 16.º Simposio Internacional sobre Investigación y Aplicaciones de Bioinformática, ISBRA 2020, celebrado en Moscú, Rusia, en diciembre de 2020. Los 23 artÃculos completos y 18 artÃculos breves presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 131 presentaciones. Se organizaron en secciones temáticas denominadas: análisis del genoma; Biologia de sistemas; proteómica computacional; aprendizaje automático y profundo; y análisis y metodologÃa de datos. Nota de contenido: Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentiallyexpressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta. . Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020. The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1–4, 2020, Proceedings [documento electrónico] / Cai, Zhipeng, ; Mandoiu, Ion., ; Narasimhan, Giri, ; Skums, Pavel, ; Guo, Xuan, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 418 p. 143 ilustraciones, 110 ilustraciones en color.
ISBN : 978-3-030-57821-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Bioinformática IngenierÃa Informática Red de computadoras Inteligencia artificial IngenierÃa Informática y Redes BiologÃa Computacional y de Sistemas Clasificación: 570.285 Resumen: Este libro constituye las actas del 16.º Simposio Internacional sobre Investigación y Aplicaciones de Bioinformática, ISBRA 2020, celebrado en Moscú, Rusia, en diciembre de 2020. Los 23 artÃculos completos y 18 artÃculos breves presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 131 presentaciones. Se organizaron en secciones temáticas denominadas: análisis del genoma; Biologia de sistemas; proteómica computacional; aprendizaje automático y profundo; y análisis y metodologÃa de datos. Nota de contenido: Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentiallyexpressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta. . Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020, held in Moscow, Russia, in December 2020. The 23 full papers and 18 short papers presented in this book were carefully reviewed and selected from 131 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers Tipo de documento: documento electrónico Autores: Mandoiu, Ion., ; Murali, T. M., ; Narasimhan, Giri, ; Rajasekaran, Sanguthevar, ; Skums, Pavel, ; Zelikovsky, Alexander, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XII, 199 p. 70 ilustraciones, 55 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-46165-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion Red de computadoras Aprendizaje automático IngenierÃa de software Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye artÃculos seleccionados revisados ​​de la 9.ª Conferencia Internacional sobre Avances Computacionales en Ciencias Bio y Médicas, ICCABS 2019, celebrada en Miami, Florida, EE. UU. en noviembre de 2019. Los 15 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 30 presentaciones. Tratan temas como biologÃa computacional; análisis de imágenes biomédicas; redes biológicas; genómica del cáncer; análisis de enriquecimiento genético; genómica funcional; redes de interacción; predicción de la estructura de proteÃnas; programación dinámica; y análisis de microbioma. Nota de contenido: Detecting de novo Plasmodesmata targeting signals and identifying PD targeting proteins -- The Agility of a Neuron: Phase Shift between Sinusoidal Current Input and Firing Rate Curve -- Efficient Sequential and Parallel Algorithms for Incremental Record Linkage -- Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder -- FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA $Nˆ6$-methyladenine sites -- Optimized multiple fluorescence based detection in a single molecule synthesis process under high noise level environment -- Deep learning of CTCF-mediated chromatin loops in 3D genome organization -- Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome -- A Multi-Hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction -- RiboSimR: a tool for simulation and power analysis of Ribo-seq experiments -- Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data -- Parametric Prediction Model for Annual Growth of Electron Microscopy Data -- locStra: Fast analysis of local/global stratification in whole genome sequencing (WGS) studies -- A new graph database system for multi-omics data integration and mining complex biological information -- SMART2: Multi-Library Statistical Mitogenome Assembly with Repeats. Tipo de medio : Computadora Summary : This book constitutes revised selected papers from the 9th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2019, held in Miami, Florida, USA in November 2019. The 15 papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with topics such as computational biology; biomedical image analysis; biological networks; cancer genomics; gene enrichment analysis; functional genomics; interaction networks; protein structure prediction; dynamic programming; and microbiome analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers [documento electrónico] / Mandoiu, Ion., ; Murali, T. M., ; Narasimhan, Giri, ; Rajasekaran, Sanguthevar, ; Skums, Pavel, ; Zelikovsky, Alexander, . - 1 ed. . - [s.l.] : Springer, 2020 . - XII, 199 p. 70 ilustraciones, 55 ilustraciones en color.
ISBN : 978-3-030-46165-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion Red de computadoras Aprendizaje automático IngenierÃa de software Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye artÃculos seleccionados revisados ​​de la 9.ª Conferencia Internacional sobre Avances Computacionales en Ciencias Bio y Médicas, ICCABS 2019, celebrada en Miami, Florida, EE. UU. en noviembre de 2019. Los 15 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 30 presentaciones. Tratan temas como biologÃa computacional; análisis de imágenes biomédicas; redes biológicas; genómica del cáncer; análisis de enriquecimiento genético; genómica funcional; redes de interacción; predicción de la estructura de proteÃnas; programación dinámica; y análisis de microbioma. Nota de contenido: Detecting de novo Plasmodesmata targeting signals and identifying PD targeting proteins -- The Agility of a Neuron: Phase Shift between Sinusoidal Current Input and Firing Rate Curve -- Efficient Sequential and Parallel Algorithms for Incremental Record Linkage -- Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder -- FastFeatGen: Faster parallel feature extraction from genome sequences and efficient prediction of DNA $Nˆ6$-methyladenine sites -- Optimized multiple fluorescence based detection in a single molecule synthesis process under high noise level environment -- Deep learning of CTCF-mediated chromatin loops in 3D genome organization -- Effects of Various Alpha-1 Antitrypsin Supplement Dosages on the Lung Microbiome and Metabolome -- A Multi-Hypothesis Learning Algorithm for Human and Mouse miRNA Target Prediction -- RiboSimR: a tool for simulation and power analysis of Ribo-seq experiments -- Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-Center Study with Veterans Health Administration Data -- Parametric Prediction Model for Annual Growth of Electron Microscopy Data -- locStra: Fast analysis of local/global stratification in whole genome sequencing (WGS) studies -- A new graph database system for multi-omics data integration and mining complex biological information -- SMART2: Multi-Library Statistical Mitogenome Assembly with Repeats. Tipo de medio : Computadora Summary : This book constitutes revised selected papers from the 9th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2019, held in Miami, Florida, USA in November 2019. The 15 papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with topics such as computational biology; biomedical image analysis; biological networks; cancer genomics; gene enrichment analysis; functional genomics; interaction networks; protein structure prediction; dynamic programming; and microbiome analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Bioinformatics Algorithms : Techniques and Applications Tipo de documento: documento electrónico Autores: Mandoiu, Ion. ; Zelikovsky, Alexander Editorial: Wiley Fecha de publicación: 2008 Número de páginas: xiv, 500 p. : Il.: ill. Palabras clave: Bioinformatics. Algorithms. Clasificación: 572.80285 Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/177494 Bioinformatics Algorithms : Techniques and Applications [documento electrónico] / Mandoiu, Ion. ; Zelikovsky, Alexander . - Wiley, 2008 . - xiv, 500 p. : : ill.
Palabras clave: Bioinformatics. Algorithms. Clasificación: 572.80285 Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/177494
TÃtulo : Computational Advances in Bio and Medical Sciences : 10th International Conference, ICCABS 2020, Virtual Event, December 10-12, 2020, Revised Selected Papers Tipo de documento: documento electrónico Autores: Jha, Sumit Kumar, ; Mandoiu, Ion., ; Rajasekaran, Sanguthevar, ; Skums, Pavel, ; Zelikovsky, Alex, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: X, 143 p. 36 ilustraciones, 30 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-79290-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion Computadoras Propósitos especiales Ciencias sociales Red de computadoras Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Aplicación informática en ciencias sociales y del comportamiento. Redes de comunicación informática Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas de la Décima Conferencia Internacional sobre Avances Computacionales en Ciencias Bio y Médicas, ICCABS 2020, celebrada en diciembre de 2020. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma virtual. Los 6 artÃculos regulares y 5 invitados presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 16 presentaciones. El uso de tecnologÃas de alto rendimiento está cambiando fundamentalmente las ciencias biológicas y dando lugar a la recopilación de grandes cantidades de datos biológicos y médicos. Los artÃculos muestran cómo el uso de estos datos puede ayudar a ampliar nuestro conocimiento de los procesos biológicos fundamentales y mejorar la salud humana, utilizando nuevos modelos computacionales y algoritmos de análisis avanzados. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 10th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 6 regular and 5 invited papers presented in this book were carefully reviewed and selected from 16 submissions. The use of high throughput technologies is fundamentally changing the life sciences and leading to the collection of large amounts of biological and medical data. The papers show how the use of this data can help expand our knowledge of fundamental biological processes and improve human health - using novel computational models and advanced analysis algorithms. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Advances in Bio and Medical Sciences : 10th International Conference, ICCABS 2020, Virtual Event, December 10-12, 2020, Revised Selected Papers [documento electrónico] / Jha, Sumit Kumar, ; Mandoiu, Ion., ; Rajasekaran, Sanguthevar, ; Skums, Pavel, ; Zelikovsky, Alex, . - 1 ed. . - [s.l.] : Springer, 2021 . - X, 143 p. 36 ilustraciones, 30 ilustraciones en color.
ISBN : 978-3-030-79290-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion Computadoras Propósitos especiales Ciencias sociales Red de computadoras Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Aplicación informática en ciencias sociales y del comportamiento. Redes de comunicación informática Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas de la Décima Conferencia Internacional sobre Avances Computacionales en Ciencias Bio y Médicas, ICCABS 2020, celebrada en diciembre de 2020. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma virtual. Los 6 artÃculos regulares y 5 invitados presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 16 presentaciones. El uso de tecnologÃas de alto rendimiento está cambiando fundamentalmente las ciencias biológicas y dando lugar a la recopilación de grandes cantidades de datos biológicos y médicos. Los artÃculos muestran cómo el uso de estos datos puede ayudar a ampliar nuestro conocimiento de los procesos biológicos fundamentales y mejorar la salud humana, utilizando nuevos modelos computacionales y algoritmos de análisis avanzados. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 10th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 6 regular and 5 invited papers presented in this book were carefully reviewed and selected from 16 submissions. The use of high throughput technologies is fundamentally changing the life sciences and leading to the collection of large amounts of biological and medical data. The papers show how the use of this data can help expand our knowledge of fundamental biological processes and improve human health - using novel computational models and advanced analysis algorithms. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Methods for Next Generation Sequencing Data Analysis Tipo de documento: documento electrónico Autores: Mandoiu, Ion., ; Zelikovsky, Alexander, Editorial: Wiley Fecha de publicación: 2016 Número de páginas: 1 online resource (461 pages) : Il.: illustrations. ISBN/ISSN/DL: 978-1-119-27217-5 Palabras clave: Nucleotide sequence Methodology. Nucleotide sequence Data processing. Clasificación: 611/.0181663 Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/177326 Computational Methods for Next Generation Sequencing Data Analysis [documento electrónico] / Mandoiu, Ion., ; Zelikovsky, Alexander, . - Wiley, 2016 . - 1 online resource (461 pages) : : illustrations.
ISBN : 978-1-119-27217-5
Palabras clave: Nucleotide sequence Methodology. Nucleotide sequence Data processing. Clasificación: 611/.0181663 Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/177326
