Výsledky vyhledávání - computing algorithms and (((bioinformatics OR bioinformation) OR bioinformation) OR informatika)

High Throughput Computational Studies of Macromolecular Structure Flexibility

Autoři: Hospital Gasch, Adam

Přispěvatelé: University/Department: Universitat de Barcelona. Departament de Bioquímica i Biologia Molecular (Farmàcia)

Thesis Advisors: Gelpí Buchaca, Josep Lluís, Orozco López, Modesto

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Dinàmica molecular, Dinámica molecular, Molecular dynamics, Bioinformàtica, Bioninformática, Bioinformatics, Càlcul intensiu (Informàtica), Computación de altas prestaciones, High performance computing, Ciències Experimentals i Matemàtiques

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/284440

Application of High-Throughput Computing in Bioinformatics

Autoři: Swindells, Mark Rae, Mark Pearce, Martyn a další

Zdroj: Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2002 Jun . 360(1795), 1179-1189.

Přístupová URL adresa: https://www.jstor.org/stable/3066432

A Fast and Numerically Robust Method for Exact Multinomial Goodness-of-Fit Test

Autoři: Keich, Uri Nagarajan, Niranjan

Zdroj: Journal of Computational and Graphical Statistics, 2006 Dec 01. 15(4), 779-802.

Přístupová URL adresa: https://www.jstor.org/stable/27594213

Planificador consciente del almacenamiento para Multiwork ows en Cluster Galaxy

Autoři: Acevedo Giménez, César Esteban

Přispěvatelé: University/Department: Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius

Thesis Advisors: Hernández Budé, Porfidio, Espinosa Morales, Antonio Miguel

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Planificador, Scheduler, Multiworkflows, Emmagatzematge, Almacenamiento, Storage, Tecnologies

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/456672

Application of clustering analysis and sequence analysis on the performance analysis of parallel applications

Autoři: González García, Juan

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Labarta Mancho, Jesús

Zdroj: TDX (Tesis Doctorals en Xarxa)

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/128875
https://dx.doi.org/10.5821/dissertation-2117-95048

Plataforma bioinformática multinúcleo: desarrollo y optimización
Many-core bioinformatics platform: development and optimization

Autoři: Esteban, F.J.

Thesis Advisors: Dorado, G., Caballero, J.A., Gálvez, Sergio

Témata: Bioinformática, Plataforma bioinformática, Microprocesador Tile64, Algoritmos bioinformáticos, Bioinformatics, Bioinformatics platform, Tile64 microprocessor, Bioinformatics algorithms

Přístupová URL adresa: http://hdl.handle.net/10396/12021

Solving chemical master equation for large biological networks: Novel state-space expansion algorithm based on artificial intelligence and Bayesian standards: A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy at Lincoln University

Přispěvatelé: Kosarwal, Rahul

Dostupnost: http://api.digitalnz.org/records/52621183/source

Degree: Doctoral

BEAGLE: An Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics

Autoři: Ayres, Daniel L. Darling, Aaron Zwickl, Derrick J. a další

Zdroj: Systematic Biology, 2012 Jan 01. 61(1), 170-173.

Přístupová URL adresa: https://www.jstor.org/stable/41515185

Genome-wide association study reveals candidate genes for litter size and function validation of MMP16 gene in lop sheep.

Autoři: Wang, Jieru Bi, Lanshu chen, Hong a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Comprehensive metagenomic analysis of the giant panda's oral microbiome reveals distinct taxonomic and functional characteristics.

Autoři: Xiao, Lin-Fan Li, Yusi Lian, Huan a další

Zdroj: Animal Microbiome. 10/29/2025, Vol. 7 Issue 1, p1-15. 15p.

Molecular phylogenetic analysis: design and implementation of scalable and reliable algorithms and verification of phylogenetic properties

Autoři: Álvarez Jarreta, Jorge Mayordomo Cámara, Elvira Miguel Casado, Gregorio de

Přístupová URL adresa: http://zaguan.unizar.es/record/61541

Quantum algorithm for bioinformatics to compute the similarity between proteins

Autoři: Anthony Chagneau Yousra Massaoudi Imene Derbali a další

Zdroj: IET Quantum Communication, Vol 5, Iss 4, Pp 417-442 (2024)

Témata: graph theory, probability, quantum computing, random processes, Telecommunication, TK5101-6720

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2632-8925

Přístupová URL adresa: https://doaj.org/article/e5f700c4a9c34aceb5001c62e9f6b9c0

From Serial to Parallel: Enhancing Needleman-Wunsch Performance through GPU-Based Computing

Autoři: Yustina Sri Suharini Wisnu Ananta Kusuma Sri Nurdiati a další

Zdroj: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 9, Iss 5, Pp 1183-1192 (2025)

Témata: global sequence alignment, gpu computing, needleman-wunsch algorithm, Systems engineering, TA168, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://jurnal.iaii.or.id/index.php/RESTI/article/view/6620; https://doaj.org/toc/2580-0760

Přístupová URL adresa: https://doaj.org/article/62582c7417f246e7b42f8af4156b947f

Derivation and Analysis of Distributed Computing Algorithms in Biological Systems

Autoři: Chandrasekhar, Arjun

Témata: Bioinformatics, Computer science, Ecology, Algorithms in Nature, Ant Biology, Distributed Computing, Neuroscience, Optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/03v7w5sf
https://escholarship.org/content/qt03v7w5sf/qt03v7w5sf.pdf

FluxRETAP: a REaction TArget Prioritization genome-scale modeling technique for selecting genetic targets

Autoři: Czajka, Jeffrey J Kim, Joonhoon Tang, Yinjie J a další

Zdroj: Bioinformatics. 41(9)

Témata: 31 Biological Sciences (for-2020), 3106 Industrial Biotechnology (for-2020), Genetics (rcdc), Biotechnology (rcdc), Bioengineering (rcdc), Escherichia coli (mesh), Metabolic Engineering (mesh), Software (mesh), Synthetic Biology (mesh), Pseudomonas putida (mesh), Machine Learning (mesh), Genome, Bacterial (mesh), Algorithms (mesh), Metabolic Networks and Pathways (mesh), Pseudomonas putida (mesh), Escherichia coli (mesh), Genome, Bacterial (mesh), Algorithms (mesh), Software (mesh), Metabolic Networks and Pathways (mesh), Synthetic Biology (mesh), Metabolic Engineering (mesh), Machine Learning (mesh), Escherichia coli (mesh), Metabolic Engineering (mesh), Software (mesh), Synthetic Biology (mesh), Pseudomonas putida (mesh), Machine Learning (mesh), Genome, Bacterial (mesh), Algorithms (mesh), Metabolic Networks and Pathways (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1n5748bq
https://escholarship.org/content/qt1n5748bq/qt1n5748bq.pdf

DNABERT-S: pioneering species differentiation with species-aware DNA embeddings

Autoři: Zhou, Zhihan Wu, Weimin Ho, Harrison a další

Zdroj: Bioinformatics. 41(Supplement_1)

Témata: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), 3105 Genetics (for-2020), 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Human Genome (rcdc), Genetics (rcdc), Generic health relevance (hrcs-hc), 3 Good Health and Well Being (sdg), Sequence Analysis, DNA (mesh), DNA (mesh), Genomics (mesh), Algorithms (mesh), Species Specificity (mesh), Genome (mesh), 46 Information and Computing Sciences (for-2020), 31 Biological Sciences (for-2020), 3105 Genetics (for-2020), 4611 Machine Learning (for-2020), Human Genome (rcdc), Genetics (rcdc), Generic health relevance (hrcs-hc), 3 Good Health and Well Being (sdg), DNA (mesh), Sequence Analysis, DNA (mesh), Genomics (mesh), Species Specificity (mesh), Genome (mesh), Algorithms (mesh), Sequence Analysis, DNA (mesh), DNA (mesh), Genomics (mesh), Algorithms (mesh), Species Specificity (mesh), Genome (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9kf0s9g0
https://escholarship.org/content/qt9kf0s9g0/qt9kf0s9g0.pdf

SetBERT: the deep learning platform for contextualized embeddings and explainable predictions from high-throughput sequencing

Autoři: Ludwig, David W Guptil, Christopher Alexander, Nicholas R a další

Zdroj: Bioinformatics. 41(7)

Témata: 46 Information and Computing Sciences (for-2020), 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Bioengineering (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Human Genome (rcdc), Genetics (rcdc), Machine Learning and Artificial Intelligence (rcdc), 3 Good Health and Well Being (sdg), Deep Learning (mesh), High-Throughput Nucleotide Sequencing (mesh), Sequence Analysis, DNA (mesh), Microbiota (mesh), Software (mesh), Computational Biology (mesh), Algorithms (mesh), Sequence Analysis, DNA (mesh), Computational Biology (mesh), Algorithms (mesh), Software (mesh), High-Throughput Nucleotide Sequencing (mesh), Microbiota (mesh), Deep Learning (mesh), Deep Learning (mesh), High-Throughput Nucleotide Sequencing (mesh), Sequence Analysis, DNA (mesh), Microbiota (mesh), Software (mesh), Computational Biology (mesh), Algorithms (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/7b07t0b7
https://escholarship.org/content/qt7b07t0b7/qt7b07t0b7.pdf

Replacing non-biomedical concepts improves embedding of biomedical concepts

Autoři: Niyonkuru, Enock Gomez, Mauricio Soto Casarighi, Elena a další

Zdroj: PLOS ONE. 20(5)

Témata: Information and Computing Sciences, Biological Sciences, Bioinformatics and Computational Biology, Algorithms, Machine Learning, Semantics, Medical Informatics Computing, General Science & Technology

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/43k9s6k4
https://escholarship.org/content/qt43k9s6k4/qt43k9s6k4.pdf

Functional protein mining with conformal guarantees

Autoři: Boger, Ron S Chithrananda, Seyone Angelopoulos, Anastasios N a další

Zdroj: Nature Communications. 16(1)

Témata: 46 Information and Computing Sciences (for-2020), 3101 Biochemistry and Cell Biology (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), 31 Biological Sciences (for-2020), Proteins (mesh), Algorithms (mesh), Computational Biology (mesh), Protein Conformation (mesh), Data Mining (mesh), Databases, Protein (mesh), Reproducibility of Results (mesh), Proteins (mesh), Reproducibility of Results (mesh), Computational Biology (mesh), Protein Conformation (mesh), Algorithms (mesh), Databases, Protein (mesh), Data Mining (mesh), Proteins (mesh), Algorithms (mesh), Computational Biology (mesh), Protein Conformation (mesh), Data Mining (mesh), Databases, Protein (mesh), Reproducibility of Results (mesh)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/3br9k1dr
https://escholarship.org/content/qt3br9k1dr/qt3br9k1dr.pdf

Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species

Autoři: Sun, Yidan Eden Zhou, Heather J Li, Jingyi Jessica

Zdroj: Bioinformatics. 37(9)

Témata: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Genetics (rcdc), Bioengineering (rcdc), Generic health relevance (hrcs-hc), Algorithms (mesh), Animals (mesh), Cluster Analysis (mesh), Drosophila melanogaster (mesh), Gene Expression (mesh), Gene Expression Profiling (mesh), Animals (mesh), Drosophila melanogaster (mesh), Cluster Analysis (mesh), Gene Expression Profiling (mesh), Gene Expression (mesh), Algorithms (mesh), Algorithms (mesh), Animals (mesh), Cluster Analysis (mesh), Drosophila melanogaster (mesh), Gene Expression (mesh), Gene Expression Profiling (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/0zk6839v
https://escholarship.org/content/qt0zk6839v/qt0zk6839v.pdf