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https://www.readbyqxmd.com/read/27905418/conservation-big-data-boost-in-china
#1
Ruidong Wu
No abstract text is available yet for this article.
November 30, 2016: Nature
https://www.readbyqxmd.com/read/27905352/-future-perspective-of-pharmacoepidemiology-in-the-big-data-era-and-the-growth-of-information-sources
#2
Diego Macías Saint-Gerons, César de la Fuente Honrubia, Fernando de Andrés Trelles, Ferrán Catalá-López Catalá-López
The arrival of new drug into the market requires many years of previous research along with the need of continuous evaluation throughout the lifetime of the drug. This warrants pharmacoepidemiological research which may be defined as the study of the use and the effects of drugs in large populations. Nowadays this type of research seems more feasible thanks to the massive expansion of the information sources and data (e.g: clinical patient registries, electronic medical records). However there is a risk of information overload, fragmented evidence and given the enthusiasm aroused by the "Big Data", it must be emphasized that its nature is mainly observational, and therefore subject to bias and confusion...
December 1, 2016: Revista Española de Salud Pública
https://www.readbyqxmd.com/read/27903883/function-driven-discovery-of-disease-genes-in-zebrafish-using-an-integrated-genomics-big-data-resource
#3
Hongseok Shim, Ji Hyun Kim, Chan Yeong Kim, Sohyun Hwang, Hyojin Kim, Sunmo Yang, Ji Eun Lee, Insuk Lee
Whole exome sequencing (WES) accelerates disease gene discovery using rare genetic variants, but further statistical and functional evidence is required to avoid false-discovery. To complement variant-driven disease gene discovery, here we present function-driven disease gene discovery in zebrafish (Danio rerio), a promising human disease model owing to its high anatomical and genomic similarity to humans. To facilitate zebrafish-based function-driven disease gene discovery, we developed a genome-scale co-functional network of zebrafish genes, DanioNet (www...
November 16, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27900742/-precision-nursing-individual-based-knowledge-translation
#4
Li-Chi Chiang, Mei-Ling Yeh, Sui-Lung Su
U.S. President Obama announced a new era of precision medicine in the Precision Medicine Initiative (PMI). This initiative aims to accelerate the progress of personalized medicine in light of individual requirements for prevention and treatment in order to improve the state of individual and public health. The recent and dramatic development of large-scale biologic databases (such as the human genome sequence), powerful methods for characterizing patients (such as genomics, microbiome, diverse biomarkers, and even pharmacogenomics), and computational tools for analyzing big data are maximizing the potential benefits of precision medicine...
December 2016: Hu Li za Zhi the Journal of Nursing
https://www.readbyqxmd.com/read/27899658/the-big-data-center-from-deposition-to-integration-to-translation
#5
(no author information available yet)
Biological data are generated at unprecedentedly exponential rates, posing considerable challenges in big data deposition, integration and translation. The BIG Data Center, established at Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, provides a suite of database resources, including (i) Genome Sequence Archive, a data repository specialized for archiving raw sequence reads, (ii) Gene Expression Nebulas, a data portal of gene expression profiles based entirely on RNA-Seq data, (iii) Genome Variation Map, a comprehensive collection of genome variations for featured species, (iv) Genome Warehouse, a centralized resource housing genome-scale data with particular focus on economically important animals and plants, (v) Methylation Bank, an integrated database of whole-genome single-base resolution methylomes and (vi) Science Wikis, a central access point for biological wikis developed for community annotations...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27899608/tfbsbank-a-platform-to-dissect-the-big-data-of-protein-dna-interaction-in-human-and-model-species
#6
Dongsheng Chen, Sanjie Jiang, Xiaoyan Ma, Fang Li
Genome-wide transcription factors (TFs) binding data has been extensively generated in the past few years, which poses a great challenge to data interpretation. Therefore, comprehensive and dedicated functional annotation databases for TF-DNA interaction are in great demands to manage, explore and utilize those invaluable data resources. Here, we constructed a platform 'TFBSbank' which houses the annotation of 1870 chromatin immunoprecipitation (ChIP) datasets of 585 TFs in five species (human, mouse, fly, worm and yeast)...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27899569/megares-an-antimicrobial-resistance-database-for-high-throughput-sequencing
#7
Steven M Lakin, Chris Dean, Noelle R Noyes, Adam Dettenwanger, Anne Spencer Ross, Enrique Doster, Pablo Rovira, Zaid Abdo, Kenneth L Jones, Jaime Ruiz, Keith E Belk, Paul S Morley, Christina Boucher
Antimicrobial resistance has become an imminent concern for public health. As methods for detection and characterization of antimicrobial resistance move from targeted culture and polymerase chain reaction to high throughput metagenomics, appropriate resources for the analysis of large-scale data are required. Currently, antimicrobial resistance databases are tailored to smaller-scale, functional profiling of genes using highly descriptive annotations. Such characteristics do not facilitate the analysis of large-scale, ecological sequence datasets such as those produced with the use of metagenomics for surveillance...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27899404/tapping-big-data-to-help-little-patients
#8
(no author information available yet)
Through a large-scale tumor-sequencing effort for pediatric brain cancer, researchers hope to bring personalized care to young patients.
November 29, 2016: Cancer Discovery
https://www.readbyqxmd.com/read/27899373/influence-of-geolocation-and-ethnicity-on-the-phenotypic-expression-of-primary-sj%C3%A3-gren-s-syndrome-at-diagnosis-in-8310-patients-a-cross-sectional-study-from-the-big-data-sj%C3%A3-gren-project-consortium
#9
Pilar Brito-Zerón, Nihan Acar-Denizli, Margit Zeher, Astrid Rasmussen, Raphaele Seror, Elke Theander, Xiaomei Li, Chiara Baldini, Jacques-Eric Gottenberg, Debashish Danda, Luca Quartuccio, Roberta Priori, Gabriela Hernandez-Molina, Aike A Kruize, Valeria Valim, Marika Kvarnstrom, Damien Sene, Roberto Gerli, Sonja Praprotnik, David Isenberg, Roser Solans, Maureen Rischmueller, Seung-Ki Kwok, Gunnel Nordmark, Yasunori Suzuki, Roberto Giacomelli, Valerie Devauchelle-Pensec, Michele Bombardieri, Benedikt Hofauer, Hendrika Bootsma, Johan G Brun, Guadalupe Fraile, Steven E Carsons, Tamer A Gheita, Jacques Morel, Cristina Vollenveider, Fabiola Atzeni, Soledad Retamozo, Ildiko Fanny Horvath, Kathy Sivils, Thomas Mandl, Pulukool Sandhya, Salvatore De Vita, Jorge Sanchez-Guerrero, Eefje van der Heijden, Virginia Fernandes Moça Trevisani, Marie Wahren-Herlenius, Xavier Mariette, Manuel Ramos-Casals
OBJECTIVES: To analyse the influence of geolocation and ethnicity on the clinical presentation of primary Sjögren's syndrome (SjS) at diagnosis. METHODS: The Big Data Sjögren Project Consortium is an international, multicentre registry designed in 2014. By January 2016, 20 centres from five continents were participating. Multivariable logistic regression analyses were performed. RESULTS: We included 7748 women (93%) and 562 men (7%), with a mean age at diagnosis of primary SjS of 53 years...
November 29, 2016: Annals of the Rheumatic Diseases
https://www.readbyqxmd.com/read/27897014/the-training-of-next-generation-data-scientists-in-biomedicine
#10
Lana X Garmire, Stephen Gliske, Quynh C Nguyen, Jonathan H Chen, Shamim Nemati, John D VAN Horn, Jason H Moore, Carol Shreffler, Michelle Dunn
With the booming of new technologies, biomedical science has transformed into digitalized, data intensive science. Massive amount of data need to be analyzed and interpreted, demand a complete pipeline to train next generation data scientists. To meet this need, the transinstitutional Big Data to Knowledge (BD2K) Initiative has been implemented since 2014, complementing other NIH institutional efforts. In this report, we give an overview the BD2K K01 mentored scientist career awards, which have demonstrated early success...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27897013/harnessing-big-data-for-precision-medicine-infrastructures-and-applications
#11
Kun-Hsing Yu, Steven N Hart, Rachel Goldfeder, Qiangfeng Cliff Zhang, Stephen C J Parker, Michael Snyder
Precision medicine is a health management approach that accounts for individual differences in genetic backgrounds and environmental exposures. With the recent advancements in high-throughput omics profiling technologies, collections of large study cohorts, and the developments of data mining algorithms, big data in biomedicine is expected to provide novel insights into health and disease states, which can be translated into personalized disease prevention and treatment plans. However, petabytes of biomedical data generated by multiple measurement modalities poses a significant challenge for data analysis, integration, storage, and result interpretation...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27895547/editorial-recent-advances-and-challenges-on-big-data-analysis-in-neuroimaging
#12
EDITORIAL
Jian Kang, Brian Caffo, Han Liu
No abstract text is available yet for this article.
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27894504/-contribution-and-challenges-of-big-data-in-oncology
#13
REVIEW
Pierre Saintigny, Jean-Philippe Foy, Anthony Ferrari, Philippe Cassier, Alain Viari, Alain Puisieux
Since the first draft of the human genome sequence published in 2001, the cost of sequencing has dramatically decreased. The development of new technologies such as next generation sequencing led to a comprehensive characterization of a large number of tumors of various types as well as to significant advances in precision medicine. Despite the valuable information this technological revolution has allowed to produce, the vast amount of data generated resulted in the emergence of new challenges for the biomedical community, such as data storage, processing and mining...
November 25, 2016: Bulletin du Cancer
https://www.readbyqxmd.com/read/27891087/a-monte-carlo-evaluation-of-weighted-community-detection-algorithms
#14
Kathleen M Gates, Teague Henry, Doug Steinley, Damien A Fair
The past decade has been marked with a proliferation of community detection algorithms that aim to organize nodes (e.g., individuals, brain regions, variables) into modular structures that indicate subgroups, clusters, or communities. Motivated by the emergence of big data across many fields of inquiry, these methodological developments have primarily focused on the detection of communities of nodes from matrices that are very large. However, it remains unknown if the algorithms can reliably detect communities in smaller graph sizes (i...
2016: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/27886087/state-of-the-art-trends-and-future-of-bluetooth-low-energy-near-field-communication-and-visible-light-communication-in-the-development-of-smart-cities
#15
REVIEW
Gonzalo Cerruela García, Irene Luque Ruiz, Miguel Ángel Gómez-Nieto
The current social impact of new technologies has produced major changes in all areas of society, creating the concept of a smart city supported by an electronic infrastructure, telecommunications and information technology. This paper presents a review of Bluetooth Low Energy (BLE), Near Field Communication (NFC) and Visible Light Communication (VLC) and their use and influence within different areas of the development of the smart city. The document also presents a review of Big Data Solutions for the management of information and the extraction of knowledge in an environment where things are connected by an "Internet of Things" (IoT) network...
November 23, 2016: Sensors
https://www.readbyqxmd.com/read/27885972/protecting-the-confidentiality-and-security-of-personal-health-information-in-low-and-middle-income-countries-in-the-era-of-sdgs-and-big-data
#16
Eduard J Beck, Wayne Gill, Paul R De Lay
BACKGROUND: As increasing amounts of personal information are being collected through a plethora of electronic modalities by statutory and non-statutory organizations, ensuring the confidentiality and security of such information has become a major issue globally. While the use of many of these media can be beneficial to individuals or populations, they can also be open to abuse by individuals or statutory and non-statutory organizations. Recent examples include collection of personal information by national security systems and the development of national programs like the Chinese Social Credit System...
2016: Global Health Action
https://www.readbyqxmd.com/read/27883119/gtcbio-s-precision-medicine-conference-july-7-8-2016-boston-massachusetts-usa
#17
P Cole
GTCBio's Precision Medicine Conference met this year to outline the many steps forward that precision medicine and individualized genomics has made and the challenges it still faces in technological, modeling, and standards development, interoperability and compatibility advancements, and methods of economic and societal adoption. The conference was split into four sections, 'Overcoming Challenges in the Commercialization of Precision Medicine', 'Implementation of Precision Medicine: Strategies & Technologies', 'Integrating & Interpreting Personal Genomics, Big Data, & Bioinformatics' and 'Incentivizing Precision Medicine: Regulation & Reimbursement', with this report focusing on the final two subjects...
September 2016: Drugs of Today
https://www.readbyqxmd.com/read/27882983/the-power-of-big-data-must-be-harnessed-for-medical-progress
#18
EDITORIAL
(no author information available yet)
No abstract text is available yet for this article.
November 23, 2016: Nature
https://www.readbyqxmd.com/read/27881881/spintronic-nanodevices-for-bioinspired-computing
#19
Julie Grollier, Damien Querlioz, Mark D Stiles
Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable computing systems. Applications span from automatic classification for big data management, through unmanned vehicle control, to control for biomedical prosthesis. However, one of the major challenges of fabricating bioinspired hardware is building ultra-high-density networks out of complex processing units interlinked by tunable connections. Nanometer-scale devices exploiting spin electronics (or spintronics) can be a key technology in this context...
October 2016: Proceedings of the IEEE
https://www.readbyqxmd.com/read/27876245/perioperative-medicine-and-taiwan-national-health-insurance-research-database
#20
REVIEW
C C Chang, C C Liao, T L Chen
"Big data", characterized by 'volume', 'velocity', 'variety', and 'veracity', being routinely collected in huge amounts of clinical and administrative healthcare-related data are becoming common and generating promising viewpoints for a better understanding of the complexity for medical situations. Taiwan National Health Insurance Research Database (NHIRD), one of large and comprehensive nationwide population reimbursement databases in the world, provides the strength of sample size avoiding selection and participation bias...
November 18, 2016: Acta Anaesthesiologica Taiwanica: Official Journal of the Taiwan Society of Anesthesiologists
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