نتائج البحث

Odyssey: a semi-automated pipeline for phasing, imputation, and analysis of genome-wide genetic data.

• Authors : Eller RJ; Department of Biology, Indiana University-Purdue University Indianapolis, 723 W. Michigan Street, Indianapolis, IN, USA. .; Janga SC

Subjects: Data Interpretation, Statistical* ; Genome-Wide Association Study*; Computational Biology/Computational Biology/Computational Biology/*methods

• Source: BMC bioinformatics [BMC Bioinformatics] 2019 Jun 28; Vol. 20 (1), pp. 364. Date of Electronic Publication: 2019 Jun 28.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data.

• Authors : Valdés MG; Eurecat. Technology Centre of Catalonia, Av. Diagonal 177, 9th floor, Barcelona, 08018, Spain. .; Galván-Femenía I

Subjects: Antineoplastic Agents/Antineoplastic Agents/Antineoplastic Agents/*therapeutic use ; Computational Biology/Computational Biology/Computational Biology/*methods ; Lung Neoplasms/Lung Neoplasms/Lung Neoplasms/*genetics

• Source: BMC systems biology [BMC Syst Biol] 2018 Nov 20; Vol. 12 (Suppl 5), pp. 97. Date of Electronic Publication: 2018 Nov 20.Publisher: BioMed Central Country of Publication: England NLM ID: 101301827 Publication Model: Electronic Cited Medium: Internet ISSN: 1752-0509

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reGenotyper: Detecting mislabeled samples in genetic data.

• Authors : Zych K; Groningen Bioinformatics Centre, University of Groningen, Groningen, The Netherlands.; Snoek BL

Subjects: Algorithms* ; Polymorphism, Single Nucleotide*; Computational Biology/Computational Biology/Computational Biology/*methods

• Source: PloS one [PLoS One] 2017 Feb 13; Vol. 12 (2), pp. e0171324. Date of Electronic Publication: 2017 Feb 13 (Print Publication: 2017).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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A Systematic Bayesian Integration of Epidemiological and Genetic Data.

• Authors : Lau MS; Department of Ecology and Evolutionary Biology, Princeton, New Jersey, United States of America.; Marion G

Subjects: Bayes Theorem* ; Models, Biological*; Computational Biology/Computational Biology/Computational Biology/*methods

• Source: PLoS computational biology [PLoS Comput Biol] 2015 Nov 23; Vol. 11 (11), pp. e1004633. Date of Electronic Publication: 2015 Nov 23 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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A Bayesian inference framework to reconstruct transmission trees using epidemiological and genetic data.

• Authors : Morelli MJ; Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.; Thébaud G

Subjects: Bayes Theorem* ; Epidemiologic Methods* ; Models, Biological*

• Source: PLoS computational biology [PLoS Comput Biol] 2012; Vol. 8 (11), pp. e1002768. Date of Electronic Publication: 2012 Nov 15.Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: Print-Electronic Cited Medium: Internet

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InterferenceAnalyzer: tools for the analysis and simulation of multi-locus genetic data.

• Authors : Viswanath L; School of Informatics, Indiana University, Bloomington, Indiana, 47405, USA. ; Housworth EA

Subjects: Computational Biology/Computational Biology/Computational Biology/*methods ; Gene Expression Profiling/Gene Expression Profiling/Gene Expression Profiling/*methods ; Genomics/Genomics/Genomics/*methods

• Source: BMC bioinformatics [BMC Bioinformatics] 2005 Dec 12; Vol. 6, pp. 297. Date of Electronic Publication: 2005 Dec 12.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

• Authors : Arno van Hilten; Manfred Kayser; Gennady V. Roshchupkin ...

Subjects: Population genetics; Epidemiology; Computer science

• Source: Communications Biology, Vol 4, Iss 1, Pp 1-9 (2021)Communications Biology, 4Communications Biology, 4(1)Communications Biology, 4, 1Communications Biology, 4(1):1094. Springer

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Combined analysis of transcriptomic and genetic data for the identification of loci involved in glucocorticosteroid response in asthma

• Authors : Mario Gorenjak; Vojko Berce; Maximilian Schieck ...

Subjects: pharmacogenomics; Childhood asthma; asthma treatment

• Source: Digital.CSIC. Repositorio Institucional del CSICinstnameALLERGYDigital.CSIC: Repositorio Institucional del CSICConsejo Superior de Investigaciones Científicas (CSIC)

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TRCMGene: A two-step referential compression method for the efficient storage of genetic data.

• Authors : Tang, You¹; Li, Min²; Sun, Jing³

Subjects: *GENETIC databases; *INFORMATION retrieval; *DATA transmission systems

• Source: PLoS ONE. 10/5/2018, Vol. 13 Issue 11, p1-12. 12p.

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Integration of innovative statistical methods using genetic data provides pharmacological insight and facilitates drug development

• Authors : Grant, Andrew J.;

Subjects: Pharmacology; Neutropenia; business.industry

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