scholarly journals Editorial for Brain Sciences Special Issue: “Diagnosis of Neurogenetic Disorders: Contribution of Next-Generation Sequencing and Deep Phenotyping”

2019 ◽  
Vol 9 (3) ◽  
pp. 72
Author(s):  
Alisdair McNeill
Keyword(s):  
Next Generation Sequencing ◽  
Next Generation ◽  
Special Issue ◽  
Brain Sciences ◽  
Neurogenetic Disorders ◽  
Generation Sequencing ◽  
Deep Phenotyping

In this Special Issue we bring together papers demonstrating the need for both detailed genomic and phenotypic studies to aid our scientific and clinical understanding of neurogenetic disorders [...]

scholarly journals Special Issue Introduction: The Wonders and Mysteries Next Generation Sequencing Technologies Help Reveal

Genes ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 505
Author(s):  
Manfred Grabherr ◽  
Bozena Kaminska ◽  
Jan Komorowski
Keyword(s):  
Machine Learning ◽  
Next Generation Sequencing ◽  
Dna Sequencing ◽  
Computational Power ◽  
Next Generation ◽  
Special Issue ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Sequencing Technologies ◽  
Generation Sequencing

The massive increase in computational power over the recent years and wider applicationsof machine learning methods, coincidental or not, were paralleled by remarkable advances inhigh-throughput DNA sequencing technologies.[...]

scholarly journals 179 Deep phenotyping and next generation sequencing for PIK3CA -related overgrowth spectrum

2016 ◽  
Vol 136 (9) ◽  
pp. S191
Author(s):  
S. Polubothu ◽  
R. Knox ◽  
L. Al-Olabi ◽  
V. Parker ◽  
R. Semple ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Next Generation ◽  
Generation Sequencing ◽  
Deep Phenotyping

scholarly journals Next Generation Sequencing for HIV-1 Drug Resistance Testing—A Special Issue Walkthrough

Viruses ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 340
Author(s):  
Rami Kantor
Keyword(s):  
Drug Resistance ◽  
Next Generation Sequencing ◽  
Resistance Testing ◽  
Next Generation ◽  
Special Issue ◽  
Global Challenge ◽  
Drug Resistance Testing ◽  
Generation Sequencing ◽  
Hiv 1

Drug resistance remains a global challenge in the fight against the HIV pandemic [...]

From cytogenetics to next-generation sequencing technologies: advances in the detection of genome rearrangements in tumorsThis paper is one of a selection of papers published in this Special Issue, entitled CSBMCB — Systems and Chemical Biology, and has undergone the Journal's usual peer review process.

2008 ◽  
Vol 86 (2) ◽  
pp. 81-91 ◽  
Author(s):  
Olena Morozova ◽  
Marco A. Marra
Keyword(s):  
Next Generation Sequencing ◽  
Review Process ◽  
Peer Review Process ◽  
Genome Rearrangements ◽  
Next Generation ◽  
Special Issue ◽  
Sequencing Technologies ◽  
Cancer Genomes ◽  
Generation Sequencing ◽  
Selection Of

Genome rearrangements have long been recognized as hallmarks of human tumors and have been used to diagnose cancer. Techniques used to detect genome rearrangements have evolved from microscopic examinations of chromosomes to the more recent microarray-based approaches. The availability of next-generation sequencing technologies may provide a means for scrutinizing entire cancer genomes and transcriptomes at unparalleled resolution. Here we review the methods that have been used to detect genome rearrangements and discuss the scope and limitations of each approach. We end with a discussion of the potential that next-generation sequencing technologies may offer to the field.

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