Results 11 to 20 of about 1,151,593 (279)

High-throughput transcriptomics

open access: yesScientific Reports, 2022
High-throughput transcriptomics has revolutionised the field of transcriptome research by offering a cost-effective and powerful screening tool. Standard bulk RNA sequencing (RNA-Seq) enables characterisation of the average expression profiles for individual samples and facilitates identification of the molecular functions associated with genes ...
Nunzio D’Agostino   +2 more
openaire   +4 more sources

High throughput drug profiling [PDF]

open access: yesJournal of Analytical Methods in Chemistry, 2000
High throughput screening has significantly contributed to advances in drug discovery. The great increase in the number of samples screened has been accompanied by increases in costs and in the data required for the investigated compounds. High throughput profiling addresses the issues of compound selectivity and specificity.
Entzeroth, Michael   +3 more
openaire   +5 more sources

High-Throughput Venomics

open access: yesJournal of Proteome Research, 2023
In this study, we present high-throughput (HT) venomics, a novel analytical strategy capable of performing a full proteomic analysis of a snake venom within 3 days. This methodology comprises a combination of RP-HPLC-nanofractionation analytics, mass spectrometry analysis, automated in-solution tryptic digestion, and high-throughput proteomics.
Slagboom, Julien   +6 more
openaire   +4 more sources

High-Throughput Glycomic Methods

open access: yesChemical Reviews, 2022
Glycomics aims to identify the structure and function of the glycome, the complete set of oligosaccharides (glycans), produced in a given cell or organism, as well as to identify genes and other factors that govern glycosylation. This challenging endeavor requires highly robust, sensitive, and potentially automatable analytical technologies for the ...
Irena Trbojević-Akmačić   +6 more
openaire   +4 more sources

High‐Throughput SNP Genotyping [PDF]

open access: yesChemInform, 2002
AbstractWhole genome approaches using single nucleotide polymorphism (SNP) markers have the potential to transform complex disease genetics and expedite pharmacogenetics research. This has led to a requirement for high‐throughput SNP genotyping platforms. Development of a successful high‐throughput genotyping platform depends on coupling reliable assay
Jenkins, Suzanne, Gibson, Neil
openaire   +2 more sources

High-throughput tetrad analysis [PDF]

open access: yesNature Methods, 2013
Tetrad analysis has been a gold-standard genetic technique for several decades. Unfortunately, the need to manually isolate, disrupt and space tetrads has relegated its application to small-scale studies and limited its integration with high-throughput DNA sequencing technologies.
Ludlow, Catherine L.   +9 more
openaire   +2 more sources

An insight into a combined effect of backsheet and EVA encapsulant on field degradation of PV modules

open access: yesEnergy Science & Engineering, 2023
Polymer components, in particular, backsheets (BSs) and ethylene‐vinyl acetate (EVA) encapsulants, play a crucial role in the degradation of commercial silicon photovoltaic (PV) modules.
Claudia Buerhop   +4 more
doaj   +1 more source

Next Generation High Throughput Satellite System [PDF]

open access: yes, 2012
This paper aims at presenting an overview of the state-of-the-art in High Throughput Satellite (HTS) systems for Fixed Satellite Services (FSS) and High Density-FSS.
Alberty, Eric   +5 more
core   +1 more source

Advances in Non-Coding RNA Sequencing

open access: yesNon-Coding RNA, 2021
Non-coding RNAs (ncRNAs) comprise a set of abundant and functionally diverse RNA molecules. Since the discovery of the first ncRNA in the 1960s, ncRNAs have been shown to be involved in nearly all steps of the central dogma of molecular biology.
Julia Micheel   +2 more
doaj   +1 more source

Sequential stopping for high-throughput experiments [PDF]

open access: yes, 2012
In high-throughput experiments, the sample size is typically chosen informally. Most formal sample-size calculations depend critically on prior knowledge.
Armstrong   +6 more
core   +1 more source

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