نتائج البحث

1

Regulation of transcription reactivation dynamics exiting mitosis

المؤلفون: Andrea Riba, Sergio Sarnataro, Nacho Molina

المساهمون: MOLINA CLEMENTE, Jose Ignacio, Institut de génétique et biologie moléculaire et cellulaire (IGBMC), Université Louis Pasteur - Strasbourg I-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Louis Pasteur - Strasbourg I

المصدر: PLoS Computational Biology, Vol 17, Iss 10, p e1009354 (2021)
PLoS Computational Biology
PLoS Computational Biology, 2021, 17 (10), ⟨10.1371/journal.pcbi.1009354⟩

مصطلحات موضوعية: Cell division, Transcription, Genetic, [SDV]Life Sciences [q-bio], Cell, Gene Expression, Biochemistry, 0302 clinical medicine, Transcription (biology), Gene expression, Transcriptional regulation, Cell Cycle and Cell Division, Biology (General), Regulation of gene expression, 0303 health sciences, Ecology, Chromosome Biology, Transcriptional Control, Chromatin, Cell biology, [SDV] Life Sciences [q-bio], medicine.anatomical_structure, Computational Theory and Mathematics, Cell Processes, Modeling and Simulation, Epigenetics, Research Article, QH301-705.5, DNA transcription, Mitosis, Biology, 03 medical and health sciences, Cellular and Molecular Neuroscience, Cell Line, Tumor, DNA-binding proteins, medicine, Genetics, Humans, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Gene Regulation, Gene, Molecular Biology, Transcription factor, Ecology, Evolution, Behavior and Systematics, Cell Proliferation, 030304 developmental biology, Bookmarking, Biology and Life Sciences, Proteins, Computational Biology, Cell Biology, Regulatory Proteins, Gene Expression Regulation, Transcriptome, 030217 neurology & neurosurgery, Transcription Factors

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3177053a823c1cdb094fbb40c77e54b9Test
https://doaj.org/article/13b341c9bdc9417fbf67f99be2e4abafTest

2

Identifying the combinatorial control of signal-dependent transcription factors

المؤلفون: Diane Lefaudeux, Jingyi Jessica Li, Ning Wang, Anup Mazumder, Alexander Hoffmann

المساهمون: Roy, Sushmita

المصدر: PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 6, p e1009095 (2021)
PLoS computational biology, vol 17, iss 6

مصطلحات موضوعية: 0301 basic medicine, Computer science, Inference, Value (computer science), Gene Expression, Biochemistry, Mathematical Sciences, Mice, 0302 clinical medicine, Electronics Engineering, Models, Gene expression, Medicine and Health Sciences, Gene Regulatory Networks, RNA-Seq, Biology (General), Immune Response, Cells, Cultured, Likelihood Functions, Cultured, Ecology, Transcriptional Control, Biological Sciences, Lipids, Chromatin, Computational Theory and Mathematics, Modeling and Simulation, Physical Sciences, Chromatin Immunoprecipitation Sequencing, Engineering and Technology, Research Article, Optimization, Bioinformatics, QH301-705.5, Cells, Immunology, Computational biology, Models, Biological, 03 medical and health sciences, Cellular and Molecular Neuroscience, Genetic, Information and Computing Sciences, DNA-binding proteins, Genetics, Animals, Computer Simulation, Gene Regulation, Molecular Biology, Gene, Transcription factor, Ecology, Evolution, Behavior and Systematics, Models, Genetic, Gene Expression Profiling, Macrophages, Immunity, Computational Biology, Biology and Life Sciences, Proteins, Bayes Theorem, Biological, Regulatory Proteins, Logic Circuits, 030104 developmental biology, Workflow, Identifiability, Generic health relevance, 030217 neurology & neurosurgery, Mathematics, Transcription Factors

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9529923bb72f7377a67925a8040ae94Test
https://pubmed.ncbi.nlm.nih.gov/34166361Test

3

ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements

المؤلفون: Leena Hilakivi-Clarke, Robert Clarke, Xi Chen, Jianhua Xuan, Andrew F. Neuwald

المصدر: PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 7, p e1009203 (2021)

مصطلحات موضوعية: Computer science, CHROMATIN-STATE DISCOVERY, genetic processes, Gene Expression, Regulatory Sequences, Nucleic Acid, Biochemistry, Epigenesis, Genetic, Computational biology, 0302 clinical medicine, Nucleic Acids, Feature (machine learning), Gene Regulatory Networks, Biology (General), Promoter Regions, Genetic, Regulation of gene expression, 0303 health sciences, ROLES, Ecology, Chromosome Biology, LINEAGE, Genomics, Chromatin immunoprecipitation, Chromatin, SEQ, Enhancer Elements, Genetic, Computational Theory and Mathematics, Regulatory sequence, Modeling and Simulation, Physical Sciences, symbols, MCF-7 Cells, Chromatin Immunoprecipitation Sequencing, Epigenetics, Gibbs sampling, Research Article, EXPRESSION, Cell Binding, Biochemistry & Molecular Biology, Cell Physiology, Bioinformatics, QH301-705.5, Context (language use), Biochemical Research Methods, Promoter Regions, 03 medical and health sciences, Cellular and Molecular Neuroscience, symbols.namesake, Genetics, Humans, ChIA PET, natural sciences, Gene Regulation, Molecular Biology, Transcription factor, 01 Mathematical Sciences, Ecology, Evolution, Behavior and Systematics, ChIA-PET, 030304 developmental biology, Binding Sites, Models, Statistical, Probabilistic logic, Computational Biology, Biology and Life Sciences, Bayes Theorem, Cell Biology, DNA, Genome analysis, 06 Biological Sciences, Probability Theory, Probability Distribution, ENHANCERS, Gene Expression Regulation, Mathematical & Computational Biology, 08 Information and Computing Sciences, K562 Cells, 030217 neurology & neurosurgery, Mathematics, Transcription Factors

وصف الملف: 22 page(s); application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee11964a48928f0a310bbb5a2d335a1Test
https://pubmed.ncbi.nlm.nih.gov/34292930Test

4

Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets

المؤلفون: Fatin N. Zainul Abidin, David R. Westhead, Salam A. Assi, Rebecca Hannah, Constanze Bonifer, Debbie K. Goode, Nadine Obier, Georges Lacaud, M. S. Vijayabaskar, Amber M L Emmett, Nisar A. Shar, Monika Lichtinger, Valerie Kouskoff, Berthold Göttgens, Michael Lie-A-Ling

المساهمون: Emmett, Amber ML [0000-0003-3894-3453], Abidin, Fatin N Zainul [0000-0001-7296-3752], Hannah, Rebecca [0000-0003-0477-7792], Gottgens, Berthold [0000-0001-6302-5705], Lacaud, Georges [0000-0002-5630-2417], Westhead, David R [0000-0002-0519-3820], Apollo - University of Cambridge Repository

المصدر: PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 11, p e1007337 (2019)
Vijayabaskar, M S, Goode, D K, Obier, N, Lichtinger, M, Emmett, A M L, Abidin, F N Z, Shar, N, Hannah, R, Assi, S A, Lie-A-Ling, M, Gottgens, B, Lacaud, G, Kouskoff, V, Bonifer, C & Westhead, D R 2019, ' Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells : An integrative approach using high-throughput datasets ', PLoS computational biology, vol. 15, no. 11, pp. e1007337 . https://doi.org/10.1371/journal.pcbi.1007337Test

مصطلحات موضوعية: Epigenomics, Gene Expression, Regulatory Sequences, Nucleic Acid, Biochemistry, Epigenesis, Genetic, Mice, 0302 clinical medicine, Mathematical and Statistical Techniques, Databases, Genetic, Transcriptional regulation, High-Throughput Screening Assays/methods, Mouse Embryonic Stem Cells/metabolism, Myocytes, Cardiac, Regulatory Elements, Transcriptional, Biology (General), Promoter Regions, Genetic, Regulation of gene expression, 0303 health sciences, Genome, Manchester Cancer Research Centre, Ecology, Chromosome Biology, Transcriptional Control, Statistics, Cell Differentiation, Mouse Embryonic Stem Cells, Myocytes, Cardiac/metabolism, Genomics, Chromatin, Computational Theory and Mathematics, Regulatory sequence, Modeling and Simulation, Physical Sciences, Epigenetics, Research Article, QH301-705.5, Gene prediction, Cell Differentiation/genetics, DNA transcription, Computational biology, Biology, Research and Analysis Methods, Gene Expression Regulation/genetics, Chromatin/metabolism, 03 medical and health sciences, Cellular and Molecular Neuroscience, Macrophages/metabolism, DNA-binding proteins, Genetics, Animals, Transcription Factors/metabolism, Gene Regulation, Statistical Methods, Gene Prediction, Molecular Biology, Transcription factor, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, ResearchInstitutes_Networks_Beacons/mcrc, Macrophages, Biology and Life Sciences, Proteins, Computational Biology, Cell Biology, Genome Analysis, Regulatory Proteins, High-Throughput Screening Assays, Gene Expression Regulation, Regulatory Elements, Transcriptional/genetics, 030217 neurology & neurosurgery, Mathematics, Transcription Factors, Forecasting