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1. Full Text Epigenomics in Health and Disease. Translational Epigenetics Series. Edited by Mario F. Fraga and Agustín F. Fernández. Academic Press. Amsterdam (The Netherlands) and Boston (Massachusetts): Elsevier. $119.95. xvi + 311 p.; ill.; index. ISBN: 978-0-12-800140-0. 2016
by Wang, Daifeng
The Quarterly review of biology, ISSN 0033-5770, 06/2018, Volume 93, Issue 2, pp. 163 - 164
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2. Full Text Systems Biology: Constraint-Based Reconstruction and Analysis. By Bernhard O. Palsson. Cambridge and New York: Cambridge University Press. $79.99. xviii + 531 p.; ill.; index. ISBN: 978-1-107-03885-1. 2015
by Wang, Daifeng
The Quarterly review of biology, ISSN 0033-5770, 09/2017, Volume 92, Issue 3, pp. 303 - 304
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3. Full Text The real cost of sequencing: Scaling computation to keep pace with data generation
by Muir, Paul and Li, Shantao and Lou, Shaoke and Wang, Daifeng and Spakowicz, Daniel J and Salichos, Leonidas and Zhang, Jing and Weinstock, George M and Isaacs, Farren and Rozowsky, Joel and Gerstein, Mark
Genome Biology, ISSN 1474-7596, 03/2016, Volume 17, Issue 1, pp. 53 - 53
Genetics & Heredity | Life Sciences & Biomedicine | Biotechnology & Applied Microbiology | Science & Technology | High-Throughput Nucleotide Sequencing - economics | Computational Biology - methods | Algorithms | Genomics | Humans | Computational Biology - trends | Information Storage and Retrieval | Biomedical Research | High-Throughput Nucleotide Sequencing - methods | Cloud computing | Funding | Data compression | Data processing | Genomes | Research | Personal computers | Datasets | Error correction & detection | Researchers | Databases | Archives & records | Scaling | Trends | Paradigms | Deoxyribonucleic acid--DNA | Cancer | Index Medicus
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4. Full Text Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
by Gandal, Michael J and Zhang, Pan and Hadjimichael, Evi and Walker, Rebecca L and Chen, Chao and Liu, Shuang and Won, Hyejung and Van Bakel, Harm and Varghese, Merina and Wang, Yongjun and Shieh, Annie W and Haney, Jillian and Parhami, Sepideh and Belmont, Judson and Kim, Minsoo and Losada, Patricia Moran and Khan, Zenab and Mleczko, Justyna and Xia, Yan and Dai, Rujia and Wang, Daifeng and Yang, Yucheng T and Xu, Min and Fish, Kenneth and Hof, Patrick R and Warrell, Jonathan and Fitzgerald, Dominic and White, Kevin and Jaffe, Andrew E and Peters, Mette A and Gerstein, Mark and Liu, Chunyu and Iakoucheva, Lilia M and Pinto, Dalila and Geschwind, Daniel H and PsychENCODE Consortium
Science (American Association for the Advancement of Science), ISSN 0036-8075, 12/2018, Volume 362, Issue 6420, p. 1265
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Brain - metabolism | Autism Spectrum Disorder - genetics | Genetic Predisposition to Disease | RNA Splicing | Schizophrenia - genetics | Sequence Analysis, RNA | Humans | Transcriptome | Bipolar Disorder - genetics | Protein Isoforms - genetics | Schizophrenia | Autism | Bipolar disorder | Genetic aspects | Genetic transcription | Health aspects | Enrichment | Brain | Transcription | Mental disorders | Modules | Genes | Gene regulation | Disorders | Risk | Genomes | Regulatory sequences | Gene sequencing | Proteins | Alterations | Pathways | Blood-brain barrier | Coding | Genetic analysis | Genotypes | NF-κB protein | Phenotypes | Integration | Splicing | Health risks | Data processing | Behavior disorders | Gene expression | Ribonucleic acid--RNA | Pathology | Regulatory mechanisms (biology) | Interferon | Disruption | Index Medicus
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5. Full Text Comprehensive functional genomic resource and integrative model for the human brain
by Wang, Daifeng and Liu, Shuang and Warrell, Jonathan and Won, Hyejung and Shi, Xu and Navarro, Fabio C.P and Clarke, Declan and Gu, Mengting and Emani, Prashant and Yang, Yucheng T and Min, X and Gandal, Michael J and Lou, Shaoke and Zhang, Jing and Park, Jonathan J and Yan, Chengfei and KyongRhie, Suhn and Manakongtreecheep, Kasidet and Zhou, Holly and Aparna Natha, A and Peters, Mette and Mattei, Eugenio and Fitzgerald, Dominic and Brunetti, Tonya and Moore, Jill and Jiang, Yan and Girdhar, Kiran and Hoffman, Gabriel E and Kalayci, Selim and Gümüş, Zeynep H and Crawford, Gregory E and Roussos, Panos and Akbarian, Schahram and Jaffe, Andrew E and White, Kevin P and Weng, Zhiping and Sestan, Nenad and Geschwind, Daniel H and Knowles, James A and Gerstein, Mark B and PsychENCODE Consortium
Science (American Association for the Advancement of Science), ISSN 0036-8075, 12/2018, Volume 362, Issue 6420, p. 1266
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Genome-Wide Association Study | Datasets as Topic | Epigenomics | Epigenesis, Genetic | Humans | Gene Expression Regulation | Transcriptome | Gene Regulatory Networks | Deep Learning | Brain - metabolism | Mental Disorders - genetics | Enhancer Elements, Genetic | Quantitative Trait Loci | Single-Cell Analysis | Brain | Genetic aspects | Structure | Genomics | Methods | Neuroimaging | Networks | Chromatin | Transcription factors | Mental disorders | Genes | Disorders | Schizophrenia | Risk | Genomes | Single-nucleotide polymorphism | Tissues | Consortia | Genotype & phenotype | Immunology | Pathways | Aging | miRNA | Mathematical models | Phenotypes | Medical imaging | Splicing | Internet resources | Health risks | Behavior disorders | Gene expression | Ribonucleic acid--RNA | Loci | Quantitative trait loci | Domains | Neurology | Learning algorithms | Enhancers | Molecular modelling | Data sets | Isoforms | Machine learning | Metabolic pathways | Internet | Polygenic inheritance | Index Medicus
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6. Full Text KBase: The United States department of energy systems biology knowledgebase
by Arkin, Adam P and Cottingham, Robert W and Henry, Christopher S and Harris, Nomi L and Stevens, Rick L and Maslov, Sergei and Dehal, Paramvir and Ware, Doreen and Perez, Fernando and Canon, Shane and Sneddon, Michael W and Henderson, Matthew L and Riehl, William J and Murphy-Olson, Dan and Chan, Stephen Y and Kamimura, Roy T and Kumari, Sunita and Drake, Meghan M and Brettin, Thomas S and Glass, Elizabeth M and Chivian, Dylan and Gunter, Dan and Weston, David J and Allen, Benjamin H and Baumohl, Jason and Best, Aaron A and Bowen, Ben and Brenner, Steven E and Bun, Christopher C and Chandonia, John-Marc and Chia, Jer-Ming and Colasanti, Ric and Conrad, Neal and Davis, James J and Davison, Brian H and Dejongh, Matthew and Devoid, Scott and Dietrich, Emily and Dubchak, Inna and Edirisinghe, Janaka N and Fang, Gang and Faria, José P and Frybarger, Paul M and Gerlach, Wolfgang and Gerstein, Mark and Greiner, Annette and Gurtowski, James and Haun, Holly L and He, Fei and Jain, Rashmi and Joachimiak, Marcin P and Keegan, Kevin P and Kondo, Shinnosuke and Kumar, Vivek and Land, Miriam L and Meyer, Folker and Mills, Marissa and Novichkov, Pavel S and Oh, Taeyun and Olsen, Gary J and Olson, Robert and Parrello, Bruce and Pasternak, Shiran and Pearson, Erik and Poon, Sarah S and Price, Gavin A and Ramakrishnan, Srividya and Ranjan, Priya and Ronald, Pamela C and Schatz, Michael C and Seaver, Samuel M.D and Shukla, Maulik and Sutormin, Roman A and Syed, Mustafa H and Thomason, James and Tintle, Nathan L and Wang, Daifeng and Xia, Fangfang and Yoo, Hyunseung and Yoo, Shinjae and Yu, Dantong and Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States) and Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Nature biotechnology, ISSN 1087-0156, 07/2018, Volume 36, Issue 7, pp. 566 - 569
Life Sciences & Biomedicine | Biotechnology & Applied Microbiology | Science & Technology | Technology application | Usage | Databases | Genomics | Government agencies | Energy policy | Knowledge base | Index Medicus | KNOWLEDGE MANAGEMENT AND PRESERVATION | BASIC BIOLOGICAL SCIENCES | MATHEMATICS AND COMPUTING | Software | Data integration | Computational platforms and environments
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7. Full Text T253. A Machine Learning Approach to Predict the Changes of Brain Functional Connectivity in Autism Spectrum Disorder From the Gene Expression Data
by Choudhery, Sanjeevani and Huang, Chuan and Wang, Daifeng
Biological psychiatry (1969), ISSN 0006-3223, 05/2018, Volume 83, Issue 9, pp. S227 - S228
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8. Full Text Comparative gene co-expression network analysis of epithelial to mesenchymal transition reveals lung cancer progression stages
by Wang, Daifeng and Haley, John D and Thompson, Patricia
BMC cancer, ISSN 1471-2407, 12/2017, Volume 17, Issue 1, pp. 830 - 830
Epithelial to mesenchymal transition | Gene regulatory network | Cancer progression | Comparative network analysis | EMT-dynamic signature genes | Lung cancer | Life Sciences & Biomedicine | Oncology | Science & Technology | Prognosis | Oncology, Experimental | Genes | Stem cells | Development and progression | Genetic aspects | Genetic transcription | Research | Comparative analysis | Drug resistance | Cancer | Index Medicus
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9. Full Text The divergence in bacterial components associated with Bactrocera dorsalis across developmental stages
by Zhao, Xiaofeng and Zhang, Xiaoyu and Chen, Zhenshi and Wang, Zhen and Lu, Yongyue and Cheng, Daifeng
Frontiers in microbiology, ISSN 1664-302X, 02/2018, Volume 9, pp. 114 - 114
Development stage | 16S rRNA | Living environment | Dietary | Microbial community | Bactrocera dorsalis | Life Sciences & Biomedicine | Microbiology | Science & Technology | Physiological aspects | Genetic aspects | Research | Microbiota (Symbiotic organisms) | Fruit-flies | living environment | microbial community | development stage | dietary
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10. Full Text ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks
by Nguyen, Nam D and Blaby, Ian K and Wang, Daifeng and Brookhaven National Lab. (BNL), Upton, NY (United States) and Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
BMC genomics, ISSN 1471-2164, 12/2019, Volume 20, Issue Suppl 12, pp. 1003 - 1003
Biological Evolution | Phenotype | Algorithms | Gene Regulatory Networks - genetics | Software | Transcriptome - genetics | Genomics - methods | Nonlinear Dynamics | Machine Learning | Cluster Analysis | Genetic research | Genetic aspects | Wildlife conservation | Analysis | Genes | Genomics | Networks | Phenotypes | Neighborhoods | Aquatic plants | Genomes | Perturbation | Gene expression | Manifolds (mathematics) | Biological activity | Complexity | Datasets | Genotype & phenotype | Developmental stages | Functionals | Computer applications | Machine learning | Links | Methods | Index Medicus | MATHEMATICS AND COMPUTING | Multiview learning | Comparative genomics | Biofuel | Manifold learning | Clustering | Comparative network analysis | Manifold regularization | Functional genomics
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11. Full Text Altered spontaneous brain activity in adolescent boys with pure conduct disorder revealed by regional homogeneity analysis
by Wu, Qiong and Zhang, Xiaocui and Dong, Daifeng and Wang, Xiang and Yao, Shuqiao
European child & adolescent psychiatry, ISSN 1018-8827, 07/2017, Volume 26, Issue 7, pp. 827 - 837
Insula | Intrinsic brain activity | Resting-state functional magnetic resonance imaging | Barratt Impulsivity Scale | Pediatrics | Social Sciences | Life Sciences & Biomedicine | Psychology | Psychology, Developmental | Psychiatry | Science & Technology | Conduct Disorder - psychology | Humans | Adolescent | Brain - pathology | Magnetic Resonance Imaging - methods | Female | Male | Conduct disorder | Somatotropin | Neurons | Cerebellum | Neuroimaging | Cognitive ability | Resting | Blood | Abnormality | Intelligence tests | Brain activity | Functional magnetic resonance imaging | Teenagers | Signals | Adolescents | Activities | Oxygen | Impulsivity | Coordination | Brain mapping | Cognitive processing | Severity | Synchronization | Temporal gyrus | Emotions | Conduct disordered adolescents | Conduct disordered adolescent boys | Magnetic resonance imaging | Information processing | Impulsive behavior | Synchrony | Index Medicus
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