Výsledky vyhledávání - • Algorithms and Bioinformatics

Application of new bioinformatic algorithms in Next Generation Sequencing (NGS) data analysis

Autoři: Venâncio, Pedro Filipe Carneiro

Témata: Next generation sequencing (NGS), Bioinformatics, Genomic data analysis, Depth of coverage, Breadth of coverage, Samtools, Gene panels, Exome, Single gene

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10773/43561

Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic Flow-Self Organizing Maps algorithm

Autoři: Porwit, Anna Violidaki, Despoina Axler, Olof a další

Přispěvatelé: Porwit, Anna Violidaki, Despoina Axler, Olof a další

Zdroj: Cytometry Part B - Clinical Cytometry. 102(2):134-142

Témata: Medical and Health Sciences, Clinical Medicine, Hematology, Medicin och hälsovetenskap, Klinisk medicin, Hematologi

Přístupová URL adresa: https://doi.org/10.1002/cyto.b.22059

Theoretical Analysis of Sequencing Bioinformatics Algorithms and Beyond: A case study reveals the theoretical analysis of algorithms is not always as helpful as standard dogma might suggest.

Autoři: MEDVEDEV, PAUL¹

Zdroj: Communications of the ACM. Jul2023, Vol. 66 Issue 7, p118-125. 8p. 1 Color Photograph, 2 Diagrams.

Témata: *ALGORITHMS, *FORECASTING, BIOINFORMATICS, MEASUREMENT

Development of a new hybrid model to enhance streamflow estimation using artificial neural network and reptile search algorithm

Autoři: Bahmani, Mohammad Javad Kayhomayoon, Zahra Milan, Sami Ghordoyee a další

Přispěvatelé: Bahmani, Mohammad Javad Kayhomayoon, Zahra Milan, Sami Ghordoyee a další

Zdroj: Scientific Reports. 15(1)

Témata: Natural Sciences, Mathematical Sciences, Probability Theory and Statistics, Naturvetenskap, Matematik, Sannolikhetsteori och statistik, Earth and Related Environmental Sciences, Oceanography, Hydrology and Water Resources, Geovetenskap och relaterad miljövetenskap, Oceanografi, hydrologi och vattenresurser, Computer and Information Sciences, Bioinformatics (Computational Biology), Data- och informationsvetenskap (Datateknik), Bioinformatik (Beräkningsbiologi)

Přístupová URL adresa: https://doi.org/10.1038/s41598-025-90550-x

Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework.

Autoři: Bridges, Yasemin Souza, Vinicius Cortes, Katherina a další

Zdroj: BMC Bioinformatics. 26(1)

Témata: Benchmarking Framework, Bioinformatics, Phenopackets, Phenotype-driven analysis, Rare disease diagnosis, Variant prioritisation, Algorithms, Benchmarking, Phenotype, Humans, Computational Biology, Rare Diseases, Software

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/3ck3969s
https://escholarship.org/content/qt3ck3969s/qt3ck3969s.pdf

A Survey on Sequence Alignment Algorithms and State-of-the-Art Aligners.

Autoři: Prousalis, Konstantinos Georgiou, Konstantinos Kalogeropoulos, Andreas a další

Zdroj: ACM Computing Surveys. Mar2026, Vol. 58 Issue 3, p1-40. 40p.

Témata: *ALGORITHMS, SEQUENCE alignment, BIOINFORMATICS

Advances in Feature Selection Using Memetic Algorithms: A Comprehensive Review.

Autoři: Reddy, Keerthi Gabbi Mishra, Deepasikha

Zdroj: WIREs: Data Mining & Knowledge Discovery. Jun2025, Vol. 15 Issue 2, p1-43. 43p.

Témata: *Image processing, *Bioinformatics, *Data analysis, Feature selection, Evolutionary algorithms, Mathematical optimization, Genetic algorithms

Discovery of Novel Type II Bacteriocins Using a New High-Dimensional Bioinformatic Algorithm

Autoři: Yount, Nannette Y Weaver, David C de Anda, Jaime a další

Témata: Biological Sciences, Bioinformatics and Computational Biology, Infectious Diseases, Emerging Infectious Diseases, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, Bacteriocins, Computational Biology, Machine Learning, bacteriocin, host-defence, anti-infecive agents, computational biology, antimicrobial, Immunology, Medical Microbiology, Biochemistry and cell biology, Genetics

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/6cg206ww
https://escholarship.org/content/qt6cg206ww/qt6cg206ww.pdf

Styles of Valuation: Algorithms and Agency in High-throughput Bioscience

Autoři: Lee, Francis Helgesson, Claes-Fredrik

Zdroj: Science, Technology and Human Values. 45(4):659-685

Témata: valuations, agency, algorithms, bioinformatics, high-throughput, bioscience

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-421234
https://doi.org/10.1177/0162243919866898

mRNA folding algorithms for structure and codon optimization Open Access.

Autoři: Ward, Max Richardson, Mary Metkar, Mihir

Zdroj: Briefings in Bioinformatics. Jul2025, Vol. 26 Issue 4, p1-16. 16p.

Témata: MESSENGER RNA, OPTIMIZATION algorithms, BIOINFORMATICS, VACCINE development, IMMUNE response, GENETIC code, RESEARCH methodology

Efficient sequence comparison via combining alignment and alignment-free techniques : algorithms and bioinformatics research

Autoři: Ayad, Lorraine Abdelmasih Khalil Pissis, Solon Iliopoulos, Costas

Přispěvatelé: Ayad, Lorraine Abdelmasih Khalil Pissis, Solon Iliopoulos, Costas

Témata: 004

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.789229

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

clusterMaker2: a major update to clusterMaker, a multi-algorithm clustering app for Cytoscape

Autoři: Utriainen, Maija Morris, John H

Zdroj: BMC Bioinformatics. 24(1)

Témata: Biological Sciences, Bioinformatics and Computational Biology, Networking and Information Technology R&D (NITRD), Bioengineering, Generic health relevance, Mobile Applications, Saccharomyces cerevisiae, Algorithms, Protein Interaction Maps, Cluster Analysis, Clustering, Community detection, Network analysis, Visualization, Cytoscape, Mathematical Sciences, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/4pt6q1c3
https://escholarship.org/content/qt4pt6q1c3/qt4pt6q1c3.pdf

Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms

Autoři: Vetukuri, Ramesh Sveriges lantbruksuniversitet, Originator

Přispěvatelé: Vetukuri, Ramesh Sveriges lantbruksuniversitet, Originator

Zdroj: Genes. 14

Témata: Bioinformatics and Systems Biology, Bioinformatik och systembiologi, Medical Genetics, Medicinsk genetik

Přístupová URL adresa: https://res.slu.se/id/publ/126851
https://pub.epsilon.slu.se/id/eprint/32182/contents

A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study

Autoři: Kwan, Brian Fuhrer, Tobias Montemayor, Daniel a další

Zdroj: BMC Bioinformatics. 24(1)

Témata: Mathematical Sciences, Information and Computing Sciences, Statistics, Machine Learning, Kidney Disease, Diabetes, Clinical Research, Renal and urogenital, Humans, Diabetic Nephropathies, Betaine, Algorithms, Metabolomics, Renal Insufficiency, Chronic, Diabetes Mellitus, Biomarker, Classification, Feature selection, Kidney disease, Order statistics, Ranking algorithm, Biological Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/004995rm
https://escholarship.org/content/qt004995rm/qt004995rm.pdf

A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study

Autoři: Persson, Inger Östling, Andreas Arlbrandt, Martin a další

Zdroj: JMIR Formative Research. 5(9)

Témata: EHR, ICU, algorithm, detection, early detection, electronic health record, intensive care unit, machine learning, prediction, proof of concept, sepsis, software as a medical device., Anaesthesiology and Intensive Care, Anestesiologi och intensivvård, Artificial Intelligence, Artificiell intelligens, Bioinformatik, Bioinformatics, Infectious Diseases, Infektionssjukdomar

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454945
https://doi.org/10.2196/28000

AutoComet: A fully automated algorithm to quickly and accurately analyze comet assays

Autoři: Barbé, Lise Lam, Stephanie Holub, Austin a další

Témata: Biological Sciences, Bioinformatics and Computational Biology, Bioengineering, Networking and Information Technology R&D (NITRD), Humans, Comet Assay, Neurodegenerative Diseases, Image Processing, Computer-Assisted, DNA Damage, Algorithms, Comet assay, DNA damage, AutoComet, Open source, CellProfiler comet assay pipeline, OpenComet FIJI plugin, open source, Biochemistry and Cell Biology, Medical Biochemistry and Metabolomics, Pharmacology and Pharmaceutical Sciences, Biochemistry and cell biology, Medicinal and biomolecular chemistry

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9n1557j1
https://escholarship.org/content/qt9n1557j1/qt9n1557j1.pdf

BLAST: Beyond Limber Angular power Spectra Toolkit. A fast and efficient algorithm for 3x2 pt analysis

Autoři: Chiarenza, Sofia Bonici, Marco Percival, Will a další

Témata: Biological Sciences, Bioinformatics and Computational Biology, Physical Sciences

Přístupová URL adresa: https://escholarship.org/uc/item/78f595gt

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