High-resolution gravity mapping: The next generation of sensors

2004 ◽  
pp. 135-146 ◽  
Author(s):  
Christopher Jekeli
Keyword(s):  
High Resolution ◽  
Next Generation

scholarly journals Microsatellite marker development for the tetraploid Veronica aragonensis (Plantaginaceae) using next-generation sequencing and high-resolution melting analyses

2018 ◽  
Vol 6 (5) ◽  
pp. e01154
Author(s):  
Nélida Padilla-García ◽  
Teresa Malvar-Ferreras ◽  
Josie Lambourdière ◽  
M. Montserrat Martínez-Ortega ◽  
Nathalie Machon
Keyword(s):  
Next Generation Sequencing ◽  
High Resolution ◽  
Microsatellite Marker ◽  
High Resolution Melting ◽  
Marker Development ◽  
Next Generation ◽  
Generation Sequencing

scholarly journals High-Resolution Analysis of the 5′-End Transcriptome Using a Next Generation DNA Sequencer

PLoS ONE ◽  
2009 ◽  
Vol 4 (1) ◽  
pp. e4108 ◽  
Author(s):  
Shin-ichi Hashimoto ◽  
Wei Qu ◽  
Budrul Ahsan ◽  
Katsumi Ogoshi ◽  
Atsushi Sasaki ◽  
...  
Keyword(s):  
High Resolution ◽  
Next Generation ◽  
High Resolution Analysis ◽  
Resolution Analysis ◽  
Dna Sequencer

scholarly journals High Resolution Ancestry Deconvolution for Next Generation Genomic Data

2021 ◽  
Author(s):  
Helgi Hilmarsson ◽  
Arvind S. Kumar ◽  
Richa Rastogi ◽  
Carlos D. Bustamante ◽  
Daniel Mas Montserrat ◽  
...  
Keyword(s):  
High Resolution ◽  
Prediction Models ◽  
Association Studies ◽  
Training Data ◽  
Genome Wide Association Studies ◽  
Whole Genome ◽  
Next Generation ◽  
Genome Data ◽  
Computational Performance ◽  
Genetic Risk Prediction

ABSTRACTAs genome-wide association studies and genetic risk prediction models are extended to globally diverse and admixed cohorts, ancestry deconvolution has become an increasingly important tool. Also known as local ancestry inference (LAI), this technique identifies the ancestry of each region of an individual’s genome, thus permitting downstream analyses to account for genetic effects that vary between ancestries. Since existing LAI methods were developed before the rise of massive, whole genome biobanks, they are computationally burdened by these large next generation datasets. Current LAI algorithms also fail to harness the potential of whole genome sequences, falling well short of the accuracy that such high variant densities can enable. Here we introduce Gnomix, a set of algorithms that address each of these points, achieving higher accuracy and swifter computational performance than any existing LAI method, while also enabling portable models that are particularly useful when training data are not shareable due to privacy or other restrictions. We demonstrate Gnomix (and its swift phase correction counterpart Gnofix) on worldwide whole-genome data from both humans and canids and utilize its high resolution accuracy to identify the location of ancient New World haplotypes in the Xoloitzcuintle, dating back over 100 generations. Code is available at https://github.com/AI-sandbox/gnomix.

ACTIVE TARGET AS A TOOL FOR NUCLEAR SPECTROSCOPY AND REACTIONS

2009 ◽  
Vol 18 (10) ◽  
pp. 1997-2002
Author(s):  
◽  
PATRICIA ROUSSEL-CHOMAZ ◽  
HERVE SAVAJOLS
Keyword(s):  
High Resolution ◽  
Time Projection Chamber ◽  
First Generation ◽  
Rare Events ◽  
Nuclear Spectroscopy ◽  
Next Generation ◽  
Active Target ◽  
First Results ◽  
Time Projection

By the very nature of secondary beams, their intensity is limited, particularly for beams of the highest interest - farthest away from stability. Active targets, which can be described as time projection chamber (TPC)-like detectors in which the detector gas is the target, have been shown to have the highest sensitivity for quantitative high resolution studies of rare events. The physics cases that can be addressed with these devices are reviewed and some of the first results obtained with first generation active targets are detailed. Finally some general ideas on the next generation of active targets are presented.

Nondrying, Sticky Hydrogels for the Next Generation of High-Resolution Conformable Bioelectronics

2020 ◽  
Vol 2 (10) ◽  
pp. 3390-3401
Author(s):  
Francisca M. Carvalho ◽  
Pedro Lopes ◽  
Manuel Carneiro ◽  
Arménio Serra ◽  
Jorge Coelho ◽  
...  
Keyword(s):  
High Resolution ◽  
Next Generation
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