Search Results - "Cloud Computing (mesh)"

Reducing education inequalities through cloud-enabled live-cell biotechnology

Authors: Vera-Choqqueccota, Samira Belmekki, Baha Eddine Youcef Alouini, Mohamed-Slim et al.

Source: Trends in Biotechnology. 43(1)

Subject Terms: 31 Biological Sciences (for-2020), 3106 Industrial Biotechnology (for-2020), Biotechnology (rcdc), 4 Quality Education (sdg), Biotechnology (mesh), Cloud Computing (mesh), Humans (mesh), Education, Distance (mesh), Humans (mesh), Biotechnology (mesh), Education, Distance (mesh), Cloud Computing (mesh), STEM education, biotechnology education, cloud biology, cloud technology, internet of things, Biotechnology (mesh), Cloud Computing (mesh), Humans (mesh), Education, Distance (mesh), 06 Biological Sciences (for), 09 Engineering (for), 10 Technology (for), Biotechnology (science-metrix), 3001 Agricultural biotechnology (for-2020), 3106 Industrial biotechnology (for-2020), 3206 Medical biotechnology (for-2020)

Access URL: https://escholarship.org/uc/item/6v21s3cp

Modern simulation utilities for genetic analysis

Authors: Ji, Sarah S German, Christopher A Lange, Kenneth et al.

Source: BMC Bioinformatics. 22(1)

Subject Terms: 31 Biological Sciences (for-2020), 3105 Genetics (for-2020), Bioengineering (rcdc), Human Genome (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Genetics (rcdc), Generic health relevance (hrcs-hc), Aged (mesh), Cloud Computing (mesh), Computer Simulation (mesh), Genetic Testing (mesh), Humans (mesh), Pedigree (mesh), Phenotype (mesh), Trait simulation, Realistic genetic models, Power, Statistical genetics, Humans (mesh), Pedigree (mesh), Phenotype (mesh), Computer Simulation (mesh), Aged (mesh), Genetic Testing (mesh), Cloud Computing (mesh), Power, Realistic genetic models, Statistical genetics, Trait simulation, Aged (mesh), Cloud Computing (mesh), Computer Simulation (mesh), Genetic Testing (mesh), Humans (mesh), Pedigree (mesh), Phenotype (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)

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/28p2n2bx
https://escholarship.org/content/qt28p2n2bx/qt28p2n2bx.pdf

Insights from Adopting a Data Commons Approach for Large-scale Observational Cohort Studies: The California Teachers Study

Authors: Lacey, James V Chung, Nadia T Hughes, Paul et al.

Source: Cancer Epidemiology Biomarkers & Prevention. 29(4)

Subject Terms: 32 Biomedical and Clinical Sciences (for-2020), 42 Health Sciences (for-2020), Data Science (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Cancer (rcdc), Clinical Research (rcdc), 2.4 Surveillance and distribution (hrcs-rac), Big Data (mesh), Cloud Computing (mesh), Computer Security (mesh), Data Collection (mesh), Data Warehousing (mesh), Health Information Management (mesh), Health Insurance Portability and Accountability Act (mesh), Humans (mesh), Longitudinal Studies (mesh), Neoplasms (mesh), Observational Studies as Topic (mesh), Prospective Studies (mesh), United States (mesh), Humans (mesh), Neoplasms (mesh), Data Collection (mesh), Longitudinal Studies (mesh), Prospective Studies (mesh), Computer Security (mesh), Health Insurance Portability and Accountability Act (mesh), United States (mesh), Health Information Management (mesh), Observational Studies as Topic (mesh), Cloud Computing (mesh), Data Warehousing (mesh), Big Data (mesh), Big Data (mesh), Cloud Computing (mesh), Computer Security (mesh), Data Collection (mesh), Data Warehousing (mesh), Health Information Management (mesh), Health Insurance Portability and Accountability Act (mesh), Humans (mesh), Longitudinal Studies (mesh), Neoplasms (mesh), Observational Studies as Topic (mesh), Prospective Studies (mesh), United States (mesh), 11 Medical and Health Sciences (for), Epidemiology (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020)

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/2kp3j184
https://escholarship.org/content/qt2kp3j184/qt2kp3j184.pdf

Pan-cancer analysis of whole genomes

Authors: Aaltonen, Lauri A Abascal, Federico Abeshouse, Adam et al.

Source: Nature. 578(7793)

Subject Terms: 31 Biological Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), 3105 Genetics (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Human Genome (rcdc), Genetics (rcdc), Cancer Genomics (rcdc), Prevention (rcdc), Biotechnology (rcdc), Cancer (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), Cancer (hrcs-hc), Cell Proliferation (mesh), Cellular Senescence (mesh), Chromothripsis (mesh), Cloud Computing (mesh), DNA Mutational Analysis (mesh), Evolution, Molecular (mesh), Female (mesh), Genome, Human (mesh), Genomics (mesh), Germ-Line Mutation (mesh), High-Throughput Nucleotide Sequencing (mesh), Humans (mesh), Information Dissemination (mesh), Male (mesh), Mutagenesis (mesh), Mutation (mesh), Neoplasms (mesh), Oncogenes (mesh), Promoter Regions, Genetic (mesh), RNA Splicing (mesh), Reproducibility of Results (mesh), Telomerase (mesh), Telomere (mesh), ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Telomere (mesh), Humans (mesh), Neoplasms (mesh), Telomerase (mesh), Reproducibility of Results (mesh), DNA Mutational Analysis (mesh), Information Dissemination (mesh), Genomics (mesh), Evolution, Molecular (mesh), Cell Proliferation (mesh), RNA Splicing (mesh), Mutagenesis (mesh), Mutation (mesh), Germ-Line Mutation (mesh), Oncogenes (mesh), Genome, Human (mesh), Female (mesh), Male (mesh), Promoter Regions, Genetic (mesh), High-Throughput Nucleotide Sequencing (mesh), Cloud Computing (mesh), Chromothripsis (mesh), Cellular Senescence (mesh), Cell Proliferation (mesh), Cellular Senescence (mesh), Chromothripsis (mesh), Cloud Computing (mesh), DNA Mutational Analysis (mesh), Evolution, Molecular (mesh), Female (mesh), Genome, Human (mesh), Genomics (mesh), Germ-Line Mutation (mesh), High-Throughput Nucleotide Sequencing (mesh), Humans (mesh), Information Dissemination (mesh), Male (mesh), Mutagenesis (mesh), Mutation (mesh), Neoplasms (mesh), Oncogenes (mesh), Promoter Regions, Genetic (mesh), RNA Splicing (mesh), Reproducibility of Results (mesh), Telomerase (mesh), Telomere (mesh), General Science & Technology (science-metrix)

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/22v640fr
https://escholarship.org/content/qt22v640fr/qt22v640fr.pdf

EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics

Authors: Hench, Jürgen Hultschig, Claus Brugger, Jon et al.

Source: Acta Neuropathol Commun
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-16 (2024)
Acta neuropathologica communications, vol. 12, no. 1, pp. 51

Subject Terms: Epigenomics, Artificial intelligence, Nanopore sequencing, Microarray, Methylation, Neoplasms, Humans, Unsupervised Machine Learning, Cloud Computing, Neoplasms/diagnosis, Neoplasms/genetics, DNA Methylation, Copy number profiling, Cryptocurrency miner, Digital pathology, Dimension reduction, Edge computing, Epigenetics, Intraoperative, Methylation sequencing, Methylome, Oncology, Same-day classification, SoC, Tumour, UMAP, Unsupervised machine learning, gpGPU, RC346-429, Cancer genetics, Methodology Article, 3. Good health, Medical genetics (excl. cancer genetics), Neurology. Diseases of the nervous system, Epigenomics [MeSH], Humans [MeSH], Unsupervised Machine Learning [MeSH], Neoplasms/diagnosis [MeSH], Neoplasms/genetics [MeSH], Cloud Computing [MeSH], DNA Methylation [MeSH]

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38576030
https://doaj.org/article/0728b5481b5942bf8a38046de711832e
https://actaneurocomms.biomedcentral.com/articles/10.1186/s40478-024-01759-2
https://hdl.handle.net/11588/992809
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_AFEC867AF2600
https://serval.unil.ch/resource/serval:BIB_AFEC867AF260.P001/REF.pdf
https://serval.unil.ch/notice/serval:BIB_AFEC867AF260
https://repository.publisso.de/resource/frl:6498770
https://actaneurocomms.biomedcentral.com/articles/10.1186/s40478-024-01759-2
https://doi.org/10.1186/s40478-024-01759-2
https://hdl.handle.net/11588/992809

Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients

Authors: Alexander Bigalke Lasse Hansen Jasper Diesel et al.

Source: Int J Comput Assist Radiol Surg

Subject Terms: Machine Learning, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Humans, Original Article, 02 engineering and technology, Cloud Computing, Humans [MeSH], Point clouds, 3D U-Net, Machine Learning [MeSH], Covered patients, Clinical weight estimation, Deep learning, Cloud Computing [MeSH]

Access URL: https://link.springer.com/content/pdf/10.1007/s11548-021-02476-0.pdf
https://pubmed.ncbi.nlm.nih.gov/34420184
https://dblp.uni-trier.de/db/journals/cars/cars16.html#BigalkeHDH21
https://europepmc.org/article/MED/34420184
https://link.springer.com/article/10.1007/s11548-021-02476-0
https://doi.org/10.1007/s11548-021-02476-0
https://link.springer.com/content/pdf/10.1007/s11548-021-02476-0.pdf
https://repository.publisso.de/resource/frl:6444513

Butler enables rapid cloud-based analysis of thousands of human genomes

Authors: Sergei Yakneen Sebastian M. Waszak Brice Aminou et al.

Contributors: Sergei Yakneen Sebastian M. Waszak Brice Aminou et al.

Source: Nat Biotechnol
Dipòsit Digital de la UB
Universidad de Barcelona
Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
Nature Biotechnology, 38, 3, pp. 288-29210.1038/s41587-019-0360-3.
Weischenfeldt, J, PCAWG Technical Working Group & PCAWG Consortium 2020, ' Butler enables rapid cloud-based analysis of thousands of human genomes ', Nature Biotechnology, vol. 38, no. 3, pp. 288-292 . https://doi.org/10.1038/s41587-019-0360-3
Nature Biotechnology, vol 38, iss 3

Subject Terms: 0301 basic medicine, Radboudumc 17: Women's cancers Laboratory Medicine, Radboudumc 17: Women's cancers Radiation Oncology, 0206 medical engineering, 02 engineering and technology, Genome informatics, Genoma humà, Brief Communication, Biologia computacional, Computational biology, 03 medical and health sciences, Ecology,Evolution & Ethology, Computational platforms and environments, Neoplasms, Genetics, Humans, Hardware and infrastructure, Cancer, Computational Biology/methods, Neoplasms/genetics, Humans [MeSH], Software [MeSH], Genome, Human, Cloud Computing, Software, Neoplasms/genetics [MeSH], Cloud Computing [MeSH], Genome, Human [MeSH], Computational Biology/methods [MeSH], Computational & Systems Biology, VARIANT DISCOVERY, ddc:610, Human Biology & Physiology, Genome, Science & Technology, Human genome, Human Genome, PCAWG Consortium, Computational Biology, Tumour Biology, 3. Good health, Data processing, Laboratory Medicine - Radboud University Medical Center, Biotechnology & Applied Microbiology, PCAWG Technical Working Group, Life Sciences & Biomedicine, Genetics & Genomics, Human

File Description: application/pdf; text/xml; application/zip

Access URL: https://europepmc.org/articles/pmc7062635?pdf=render
https://pubmed.ncbi.nlm.nih.gov/32024987
http://hdl.handle.net/2445/172342
https://hdl.handle.net/2445/172342
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/291223
https://www.nature.com/articles/s41587-019-0360-3
https://doi.org/10.1038/s41587-019-0360-3
https://escholarship.org/uc/item/2gg6377p
https://www.nature.com/articles/s41587-019-0360-3.pdf
https://www.mendeley.com/catalogue/227980c9-cf2c-3c1f-85d0-564a2809d6f1/
https://www.nature.com/articles/s41587-019-0360-3
https://www.research-collection.ethz.ch/handle/20.500.11850/400227
http://diposit.ub.edu/dspace/bitstream/2445/172342/1/695947.pdf
https://repository.ubn.ru.nl//bitstream/handle/2066/291223/291223.pdf
https://hdl.handle.net/2066/291223
https://curis.ku.dk/ws/files/256937017/s41587_019_0360_3.pdf
https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-923946
https://doi.org/10.1038/s41587-019-0360-3
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/92394
https://opus.bibliothek.uni-augsburg.de/opus4/files/92394/92394.pdf
https://www.nature.com/articles/s41587-019-0360-3#Sec13
https://escholarship.org/content/qt2gg6377p/qt2gg6377p.pdf
https://escholarship.org/uc/item/2gg6377p

The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment—experiences of patients and clinicians

Authors: Jutta G. Richter Gamal Chehab Catarina Schwartz et al.

Source: Arthritis Res Ther
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-13 (2021)

Subject Terms: Male, User experience design, Diseases of the musculoskeletal system, Arthritis, Rheumatoid, 03 medical and health sciences, 0302 clinical medicine, 5. Gender equality, Artificial Intelligence, Humans, ICT platform, Rheumatoid arthritis, 10. No inequality, 2. Zero hunger, Physician-Patient Relations, Female [MeSH], Physician-Patient Relations [MeSH], Humans [MeSH], Usability engineering, Middle Aged [MeSH], Cloud Computing [MeSH], eHealth, Artificial Intelligence [MeSH], Male [MeSH], Chronic Disease [MeSH], Research Article, Cloud, Arthritis, Rheumatoid [MeSH], Cloud Computing, Middle Aged, 16. Peace & justice, 3. Good health, RC925-935, Chronic Disease, Female

Access URL: https://arthritis-research.biomedcentral.com/track/pdf/10.1186/s13075-021-02526-7
https://pubmed.ncbi.nlm.nih.gov/34044850
https://doaj.org/article/d62bec09b43641d8aa2a8d25e4f54ce4
https://www.ncbi.nlm.nih.gov/pubmed/34044850
https://pubmed.ncbi.nlm.nih.gov/34044850/
https://link.springer.com/article/10.1186/s13075-021-02526-7
https://link.springer.com/content/pdf/10.1186/s13075-021-02526-7.pdf
https://arthritis-research.biomedcentral.com/articles/10.1186/s13075-021-02526-7
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157758
https://repository.publisso.de/resource/frl:6465936

A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems

Authors: Felix M. Weidner Mirko Rossini Joachim Ankerhold et al.

Source: STAR Protoc
STAR Protocols, Vol 4, Iss 3, Pp 102438-(2023)

Subject Terms: Q1-390, Science (General), Computers, Logic, Systems Biology, Protocol, Gene Regulatory Networks, Cloud Computing, Systems biology, Computers [MeSH], Gene Regulatory Networks [MeSH], Systems Biology [MeSH], Logic [MeSH], Cloud Computing [MeSH], Computer sciences

Access URL: https://pubmed.ncbi.nlm.nih.gov/37549034
https://doaj.org/article/17be87e53cfc42e8a760e563420a5d47
https://repository.publisso.de/resource/frl:6475565