scholarly journals Viral Informatics: Tools for Understanding the Evolution of biology's Most Varied Genomes

Author(s):  
Siobain Duffy
Keyword(s):  
Planta Medica ◽  
2015 ◽  
Vol 81 (05) ◽  
Author(s):  
G Isaac ◽  
J Yuk ◽  
D Patel ◽  
L Qiao ◽  
M Wrona ◽  
...  

Planta Medica ◽  
2015 ◽  
Vol 81 (05) ◽  
Author(s):  
V Shulaev ◽  
MD Jones ◽  
D Sturtevant ◽  
PJ Horn ◽  
J Crossley ◽  
...  

2016 ◽  
Vol 23 (3) ◽  
pp. 600 ◽  
Author(s):  
Uba Backonja ◽  
Nai-Ching Chi ◽  
Yong Choi ◽  
Amanda K Hall ◽  
Thai Le ◽  
...  

Background: Health technologies have the potential to support the growing number of older adults who are aging in place. Many tools include visualizations (data visualizations, visualizations of physical representations). However, the role of visualizations in supporting aging in place remains largely unexplored.Objective: To synthesize and identify gaps in the literature evaluating visualizations (data visualizations and visualizations of physical representations), for informatics tools to support healthy aging.Methods: We conducted a search in CINAHL, Embase, Engineering Village, PsycINFO, PubMed, and Web of Science using a priori defined terms for publications in English describing community-based studies evaluating visualizations used by adults aged ≥65 years.Results: Six out of the identified 251 publications were eligible. Most studies were user studies and varied methodological quality. Three visualizations of virtual representations supported performing at-home exercises. Participants found visual representations either (a) helpful, motivational, and supported their understanding of their health behaviors or (b) not an improvement over alternatives. Three data visualizations supported understanding of one’s health. Participants were able to interpret data visualizations that used precise data and encodings that were more concrete better than those that did not provide precision or were abstract. Participants found data visualizations helpful in understanding their overall health and granular data.Conclusions: Studies we identified used visualizations to promote engagement in exercises or understandings of one’s health. Future research could overcome methodological limitations of studies we identified to develop visualizations that older adults could use with ease and accuracy to support their health behaviors and decision-making.


2017 ◽  
Author(s):  
Ruibang Luo ◽  
Fritz J. Sedlazeck ◽  
Charlotte A. Darby ◽  
Stephen M. Kelly ◽  
Michael C. Schatz

AbstractMotivationLinked reads are a form of DNA sequencing commercialized by 10X Genomics that uses highly multiplexed barcoding within microdroplets to tag short reads to progenitor molecules. The linked reads, spanning tens to hundreds of kilobases, offer an alternative to long-read sequencing for de novo assembly, haplotype phasing and other applications. However, there is no available simulator, making it difficult to measure their capability or develop new informatics tools.ResultsOur analysis of 13 real linked read datasets revealed their characteristics of barcodes, molecules and partitions. Based on this, we introduce LRSim that simulates linked reads by emulating the library preparation and sequencing process with fine control of 1) the number of simulated variants; 2) the linked-read characteristics; and 3) the Illumina reads profile. We conclude from the phasing and genome assembly of multiple datasets, recommendations on coverage, fragment length, and partitioning when sequencing human and non-human genome.AvailabilityLRSIM is under MIT license and is freely available at https://github.com/aquaskyline/[email protected]


2016 ◽  
Author(s):  
Sean P Jungbluth ◽  
Jan P Amend ◽  
Michael S Rappé

The global deep subsurface biosphere is thought to be one of the largest reservoirs for microbial life on our planet. This study takes advantage of new sampling technologies and couples them with improvements to DNA sequencing and associated informatics tools to reconstruct the genomes of uncultivated Bacteria and Archaea from fluids collected deep within the subseafloor of the Juan de Fuca Ridge. Here, we generated two metagenomes from borehole observatories located 311 meters apart and, using binning tools, retrieved 98 genomes from metagenomes (GFMs) with completeness > 10%. Of the GFMs, 31 were estimated to be > 90% complete, while an additional 17 were > 70% complete. In most instances, estimated redundancy in the GFMs was < 10%. Phylogenomic analysis revealed 53 bacterial and 45 archaeal GFMs and nearly all were distantly related to known cultivates. In the GFMs, abundant bacteria included Chloroflexi, Nitrospirae, Acetothermia (OP1), EM3, Aminicenantes (OP8), Gammaproteobacteria, and Deltaproteobacteria and abundant archaea included Archaeoglobi, Bathyarchaeota (MCG), and Marine Benthic Group E (MBG-E). In this study, we identified the first near-complete genomes from archaeal and bacterial lineages THSCG, MBG-E, and EM3 and, based on the warm, subsurface and hydrothermally-associated from which these groups tend to be found, propose the names, Geothermarchaeota, Hydrothermarchaeota, and Hydrothermae, respectively. The data set presented here are the first description of Juan de Fuca igneous basement microbial GFMs reported and will provide a platform by which one can perform a higher level interrogation of the many uncultivated lineages presented herein.


2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Alison Callahan ◽  
Rainer Winnenburg ◽  
Nigam H Shah
Keyword(s):  

2020 ◽  
Vol 16 ◽  
pp. 2260-2271
Author(s):  
Akul Y Mehta ◽  
Jamie Heimburg-Molinaro ◽  
Richard D Cummings

Glycans are one of the major biological polymers found in the mammalian body. They play a vital role in a number of physiologic and pathologic conditions. Glycan microarrays allow a plethora of information to be obtained on protein–glycan binding interactions. In this review, we describe the intricacies of the generation of glycan microarray data and the experimental methods for studying binding. We highlight the importance of this knowledge before moving on to the data analysis. We then highlight a number of tools for the analysis of glycan microarray data such as data repositories, data visualization and manual analysis tools, automated analysis tools and structural informatics tools.


2012 ◽  
Vol 1425 ◽  
Author(s):  
Michael P. Krein ◽  
Bharath Natarajan ◽  
Linda S. Schadler ◽  
L. C. Brinson ◽  
Hua Deng ◽  
...  

ABSTRACTPolymer nanocomposites (PNC) are complex material systems in which the dominant length scales converge. Our approach to understanding nanocomposite tradespace uses Materials Quantitative Structure-Property Relationships (MQSPRs) to relate molecular structures to the polar and dispersive components of corresponding surface tensions. If the polar and dispersive components of surface tensions in the nanofiller and polymer could be determined a priori, then the propensity to aggregate and the change in polymer mobility near the particle could be predicted. Derived energetic parameters such as work of adhesion, work of spreading and the equilibrium wetting angle may then used as input to continuum mechanics approaches that have been shown able to predict the thermomechanical response of nanocomposites and that have been validated by experiment. The informatics approach developed in this work thus enables future in silico nanocomposite design by enabling virtual experiments to be performed on proposed nanocomposite compositions prior to fabrication and testing.


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