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https://www.readbyqxmd.com/read/28808136/eplant-visualizing-and-exploring-multiple-levels-of-data-for-hypothesis-generation-in-plant-biology
#1
Jamie Waese, Jim Fan, Asher Pasha, Hans Yu, Geoffrey Fucile, Ruian Shi, Matthew Cumming, Lawrence Kelley, Michael Sternberg, Vivek Krishnakumar, Erik Ferlanti, Jason Miller, Chris Town, Wolfgang Stuerzlinger, Nicholas J Provart
A big challenge in current systems biology research arises when different types of data must be accessed from separate sources and visualized using separate tools. The high cognitive load required to navigate such a workflow is detrimental to hypothesis generation. Accordingly, there is a need for a robust research platform that incorporates all data, and provides integrated search, analysis, and visualization features through a single portal. Here, we present ePlant (http://bar.utoronto.ca/eplant), a visual analytic tool for exploring multiple levels of Arabidopsis data through a zoomable user interface...
August 14, 2017: Plant Cell
https://www.readbyqxmd.com/read/28807870/an-open-multi-vendor-multi-field-strength-brain-mr-dataset-and-analysis-of-publicly-available-skull-stripping-methods-agreement
#2
REVIEW
Roberto Souza, Oeslle Lucena, Julia Garrafa, David Gobbi, Marina Saluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto Lotufo
This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The dataset is composed of images of older healthy adults (29-80 years) acquired on scanners from three vendors (Siemens, Philips and General Electric) at both 1.5 T and 3 T. CC-359 is comprised of 359 datasets, approximately 60 subjects per vendor and magnetic field strength. The dataset is approximately age and gender balanced, subject to the constraints of the available images...
August 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28806228/legal-and-ethical-concerns-of-big-data-predictive-analytics
#3
Shirley S Paulson, Elizabeth Scruth
No abstract text is available yet for this article.
September 2017: Clinical Nurse Specialist CNS
https://www.readbyqxmd.com/read/28805286/a-survey-on-monopolar-radiofrequency-treatment
#4
Dong Hye Suh, Eun Sun Hong, Hyun Joo Kim, Sang Jun Lee, Hei Sung Kim
This questionnaire-based study was aimed to measure the level of appreciation, awareness of the special tips, and practice patterns of monopolar radiofrequency among Korean dermatologists practicing a specific monopolar radiofrequency device (Thermage® Inc., Hayward, CA). A total of 82 surveys were analyzed to show that the majority of participants (78.8%) were highly satisfied with the outcomes of monopolar radiofrequency treatment. All respondents were aware of the Eye Tip 0.25 cm(2) , and the majority knew the difference between the Face tip (blue) and the Total tip (orange)...
August 14, 2017: Dermatologic Therapy
https://www.readbyqxmd.com/read/28805118/big-data-analysis-to-improve-care-for-people-living-with-serious-illness-the-potential-to-use-new-emerging-technology-in-palliative-care
#5
Amara Callistus Nwosu, Brendan Collins, Stephen Mason
No abstract text is available yet for this article.
August 1, 2017: Palliative Medicine
https://www.readbyqxmd.com/read/28802713/detecting-exact-breakpoints-of-deletions-with-diversity-in-hepatitis-b-viral-genomic-dna-from-next-generation-sequencing-data
#6
Ji-Hong Cheng, Wen-Chun Liu, Ting-Tsung Chang, Sun-Yuan Hsieh, Vincent S Tseng
Many studies have suggested that deletions of Hepatitis B Viral (HBV) are associated with the development of progressive liver diseases, even ultimately resulting in hepatocellular carcinoma (HCC). Among the methods for detecting deletions from next-generation sequencing (NGS) data, few methods considered the characteristics of virus, such as high evolution rates and high divergence among the different HBV genomes. Sequencing high divergence HBV genome sequences using the NGS technology outputs millions of reads...
August 9, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28802332/new-algorithms-for-processing-time-series-big-eeg-data-within-mobile-health-monitoring-systems
#7
Mohamed Adel Serhani, Mohamed El Menshawy, Abdelghani Benharref, Saad Harous, Alramzana Nujum Navaz
BACKGROUND AND OBJECTIVES: Recent advances in miniature biomedical sensors, mobile smartphones, wireless communications, and distributed computing technologies provide promising techniques for developing mobile health systems. Such systems are capable of monitoring epileptic seizures reliably, which are classified as chronic diseases. Three challenging issues raised in this context with regard to the transformation, compression, storage, and visualization of big data, which results from a continuous recording of epileptic seizures using mobile devices...
October 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28800380/advances-in-risk-analysis-with-big-data
#8
Tsan-Ming Choi, James H Lambert
With cloud computing, Internet-of-things, wireless sensors, social media, fast storage and retrieval, etc., organizations and enterprises have access to unprecedented amounts and varieties of data. Current risk analysis methodology and applications are experiencing related advances and breakthroughs. For example, highway operations data are readily available, and making use of them reduces risks of traffic crashes and travel delays. Massive data of financial and enterprise systems support decision making under risk by individuals, industries, regulators, etc...
August 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28798209/gender-math-confidence-and-grit-relationships-with-quantitative-skills-and-performance-in-an-undergraduate-biology-course
#9
K M Flanagan, J Einarson
In a world filled with big data, mathematical models, and statistics, the development of strong quantitative skills is becoming increasingly critical for modern biologists. Teachers in this field must understand how students acquire quantitative skills and explore barriers experienced by students when developing these skills. In this study, we examine the interrelationships among gender, grit, and math confidence for student performance on a pre-post quantitative skills assessment and overall performance in an undergraduate biology course...
2017: CBE Life Sciences Education
https://www.readbyqxmd.com/read/28797870/future-strategies-on-glioma-research-from-big-data-to-the-clinic
#10
Hang Cao, Feiyifan Wang, Xue-Jun Li
No abstract text is available yet for this article.
August 7, 2017: Genomics, Proteomics & Bioinformatics
https://www.readbyqxmd.com/read/28797242/going-deeper-in-the-automated-identification-of-herbarium-specimens
#11
Jose Carranza-Rojas, Herve Goeau, Pierre Bonnet, Erick Mata-Montero, Alexis Joly
BACKGROUND: Hundreds of herbarium collections have accumulated a valuable heritage and knowledge of plants over several centuries. Recent initiatives started ambitious preservation plans to digitize this information and make it available to botanists and the general public through web portals. However, thousands of sheets are still unidentified at the species level while numerous sheets should be reviewed and updated following more recent taxonomic knowledge. These annotations and revisions require an unrealistic amount of work for botanists to carry out in a reasonable time...
August 11, 2017: BMC Evolutionary Biology
https://www.readbyqxmd.com/read/28796983/the-quality-of-life-among-middle-school-adolescents-in-krakow
#12
Agnieszka Magiera, Agata Sowa, Ryszard Jacek, Agnieszka Pac
AIM: The aim of the study was to describe the quality of life of Polish adolescents living in a big city and to investigate whether there are differences in this respect between girls and boys. Moreover, we would like to compare the results concerning the quality of life of the screened adolescents from Krakow with those of their European peers. MATERIAL AND METHODS: The survey was carried out in 2013-2015 in 17 middle schools in Krakow based on anonymous auditorium questionnaires...
2017: Developmental Period Medicine
https://www.readbyqxmd.com/read/28796642/mustv2-an-improved-de-novo-detection-program-for-recently-active-miniature-inverted-repeat-transposable-elements-mites
#13
Ruiquan Ge, Guoqin Mai, Ruochi Zhang, Xundong Wu, Qing Wu, Fengfeng Zhou
Background Miniature inverted repeat transposable element (MITE) is a short transposable element, carrying no protein-coding regions. However, its high proliferation rate and sequence-specific insertion preference renders it as a good genetic tool for both natural evolution and experimental insertion mutagenesis. Recently active MITE copies are those with clear signals of Terminal Inverted Repeats (TIRs) and Direct Repeats (DRs), and are recently translocated into their current sites. Their proliferation ability renders them good candidates for the investigation of genomic evolution...
August 10, 2017: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28794897/uncovering-capgras-delusion-using-a-large-scale-medical-records-database
#14
Vaughan Bell, Caryl Marshall, Zara Kanji, Sam Wilkinson, Peter Halligan, Quinton Deeley
BACKGROUND: Capgras delusion is scientifically important but most commonly reported as single case studies. Studies analysing large clinical records databases focus on common disorders but none have investigated rare syndromes. AIMS: Identify cases of Capgras delusion and associated psychopathology, demographics, cognitive function and neuropathology in light of existing models. METHOD: Combined computational data extraction and qualitative classification using 250 000 case records from South London and Maudsley Clinical Record Interactive Search (CRIS) database...
July 2017: BJPsych Open
https://www.readbyqxmd.com/read/28794828/scalability-and-validation-of-big-data-bioinformatics-software
#15
REVIEW
Andrian Yang, Michael Troup, Joshua W K Ho
This review examines two important aspects that are central to modern big data bioinformatics analysis - software scalability and validity. We argue that not only are the issues of scalability and validation common to all big data bioinformatics analyses, they can be tackled by conceptually related methodological approaches, namely divide-and-conquer (scalability) and multiple executions (validation). Scalability is defined as the ability for a program to scale based on workload. It has always been an important consideration when developing bioinformatics algorithms and programs...
2017: Computational and Structural Biotechnology Journal
https://www.readbyqxmd.com/read/28793981/attitudes-of-crohn-s-disease-patients-infodemiology-case-study-and-sentiment-analysis-of-facebook-and-twitter-posts
#16
Marco Roccetti, Gustavo Marfia, Paola Salomoni, Catia Prandi, Rocco Maurizio Zagari, Faustine Linda Gningaye Kengni, Franco Bazzoli, Marco Montagnani
BACKGROUND: Data concerning patients originates from a variety of sources on social media. OBJECTIVE: The aim of this study was to show how methodologies borrowed from different areas including computer science, econometrics, statistics, data mining, and sociology may be used to analyze Facebook data to investigate the patients' perspectives on a given medical prescription. METHODS: To shed light on patients' behavior and concerns, we focused on Crohn's disease, a chronic inflammatory bowel disease, and the specific therapy with the biological drug Infliximab...
August 9, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28790024/hierarchical-medical-system-based-on-big-data-and-mobile-internet-a-new-strategic-choice-in-health-care
#17
Yaogang Wang, Li Sun, Jie Hou
China is setting up a hierarchical medical system to solve the problems of biased resource allocation and high patient flows to large hospitals. The development of big data and mobile Internet technology provides a new perspective for the establishment of hierarchical medical system. This viewpoint discusses the challenges with the hierarchical medical system in China and how big data and mobile Internet can be used to mitigate these challenges.
August 8, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28789584/monoclonal-antibodies-technologies-for-early-discovery-and-engineering
#18
Patrick J Kennedy, Carla Oliveira, Pedro L Granja, Bruno Sarmento
Antibodies are essential in modern life sciences biotechnology. Their architecture and diversity allow for high specificity and affinity to a wide array of biochemicals. Combining monoclonal antibody (mAb) technology with recombinant DNA and protein expression links antibody genotype with phenotype. Yet, the ability to select and screen for high affinity binders from recombinantly-displayed, combinatorial libraries unleashes the true power of mAbs and a flood of clinical applications. The identification of novel antibodies can be accomplished by a myriad of in vitro display technologies from the proven (e...
August 8, 2017: Critical Reviews in Biotechnology
https://www.readbyqxmd.com/read/28783079/an-ultra-low-power-turning-angle-based-biomedical-signal-compression-engine-with-adaptive-threshold-tuning
#19
Jun Zhou, Chao Wang
Intelligent sensing is drastically changing our everyday life including healthcare by biomedical signal monitoring, collection, and analytics. However, long-term healthcare monitoring generates tremendous data volume and demands significant wireless transmission power, which imposes a big challenge for wearable healthcare sensors usually powered by batteries. Efficient compression engine design to reduce wireless transmission data rate with ultra-low power consumption is essential for wearable miniaturized healthcare sensor systems...
August 6, 2017: Sensors
https://www.readbyqxmd.com/read/28782717/in-silico-approaches-for-unveiling-novel-glycobiomarkers-in-cancer
#20
Rita Azevedo, André M N Silva, Celso A Reis, Lúcio Lara Santos, José Alexandre Ferreira
Glycosylation is one of the most common and dynamic post-translational modification of cell surface and secreted proteins. Cancer cells display unique glycosylation patterns that decisively contribute to drive oncogenic behavior, including disease progression and dissemination. Moreover, alterations in glycosylation are often responsible for the creation of protein signatures holding significant biomarker value and potential for targeted therapeutics. Accordingly, many analytical protocols have been outlined for the identification of abnormally glycosylated proteins by mass spectrometry...
August 4, 2017: Journal of Proteomics
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