Predictive phenotyping of inherited ichthyosis by next‐generation DNA sequencing

2016 ◽  
Vol 176 (1) ◽  
pp. 249-251 ◽  
Author(s):  
R. Saito ◽  
A. Boyce ◽  
C.‐K. Hsu ◽  
E. Rashidghamat ◽  
M. Hide ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Next Generation ◽  
Next Generation Dna Sequencing ◽  
Inherited Ichthyosis

scholarly journals 152 Predictive phenotyping of inherited ichthyosis by next generation DNA sequencing

2016 ◽  
Vol 136 (9) ◽  
pp. S187
Author(s):  
R. Saito ◽  
A. Boyce ◽  
C. Hsu ◽  
E. Rashidghamat ◽  
J. Mellerio ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Next Generation ◽  
Next Generation Dna Sequencing ◽  
Inherited Ichthyosis

Next-generation DNA sequencing

2008 ◽  
Vol 26 (10) ◽  
pp. 1135-1145 ◽  
Author(s):  
Jay Shendure ◽  
Hanlee Ji
Keyword(s):  
Dna Sequencing ◽  
Next Generation ◽  
Next Generation Dna Sequencing

The mycobiome of the oral cavity in healthy dogs and dogs with periodontal disease

2022 ◽  
pp. 1-8
Author(s):  
Brook A. Niemiec ◽  
Jerzy Gawor ◽  
Shuiquan Tang ◽  
Aishani Prem ◽  
Janina A. Krumbeck
Keyword(s):  
Oral Cavity ◽  
Periodontal Disease ◽  
Dna Sequencing ◽  
Fungal Species ◽  
Next Generation ◽  
Data Set ◽  
Next Generation Dna Sequencing ◽  
Sequencing Platform ◽  
The Family ◽  
Healthy Dogs

Abstract OBJECTIVE To investigate the mycobiome of the oral cavity in healthy dogs and dogs with various stages of periodontal disease. ANIMALS 51 dogs without periodontal disease (n = 12) or with mild (10), moderate (19), or severe (10) periodontal disease. PROCEDURES The whole maxillary arcade of each dog was sampled with a sterile swab, and swabs were submitted for next-generation DNA sequencing targeting the internal transcribed spacer 2 region with a commercial sequencing platform. RESULTS Fungi were detected in all samples, with a total of 320 fungal species from 135 families detected in the data set. No single fungal species was found in all samples. The 3 most frequently found fungal species were Cladosporium sp (46/51 samples), Malassezia restricta (44/51 samples), and Malassezia arunalokei (36/51 samples). Certain fungi, specifically those of the family Didymellaceae, the family Irpicaceae, and the order Pleosporales, were significantly associated with different stages of periodontitis. Mycobial analysis indicated that Cladosporium sp could be considered part of the core oral cavity mycobiome. CONCLUSIONS AND CLINICAL RELEVANCE Results highlighted that fungi are present in the oral cavity of dogs and are characterized by substantial species diversity, with different fungal communities associated with various stages of periodontal disease. The next-generation DNA sequencing used in the present study revealed substantially more species of fungi than previous culture-based studies.

Adulterants and Contaminants in Psychotropic Herbal Medicines Detected with Mass Spectrometry and Next-Generation DNA Sequencing

2018 ◽  
Vol 32 (6) ◽  
pp. 429-444 ◽  
Author(s):  
Claire L. Hoban ◽  
Ian F. Musgrave ◽  
Megan L. Coghlan ◽  
Matthew W. P. Power ◽  
Roger W. Byard ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Dna Sequencing ◽  
Herbal Medicines ◽  
Next Generation ◽  
Next Generation Dna Sequencing

Improved HLA typing by next-generation DNA sequencing

2015 ◽  
Vol 76 ◽  
pp. 63
Author(s):  
Stephanie Conklin ◽  
Bing Yang ◽  
Nate Baird ◽  
Brad Baas ◽  
Ali Crawford ◽  
...  
Keyword(s):  
Dna Sequencing ◽  
Hla Typing ◽  
Next Generation ◽  
Next Generation Dna Sequencing

scholarly journals Splicing Express: a software suite for alternative splicing analysis using next-generation sequencing data

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1419 ◽  
Author(s):  
Jose E. Kroll ◽  
Jihoon Kim ◽  
Lucila Ohno-Machado ◽  
Sandro J. de Souza
Keyword(s):  
Alternative Splicing ◽  
Dna Sequencing ◽  
Next Generation Sequencing Data ◽  
Next Generation ◽  
Sequencing Data ◽  
Software Suite ◽  
Next Generation Dna Sequencing ◽  
Sequencing Technologies ◽  
Body Map ◽  
Sequencing Platforms

Motivation.Alternative splicing events (ASEs) are prevalent in the transcriptome of eukaryotic species and are known to influence many biological phenomena. The identification and quantification of these events are crucial for a better understanding of biological processes. Next-generation DNA sequencing technologies have allowed deep characterization of transcriptomes and made it possible to address these issues. ASEs analysis, however, represents a challenging task especially when many different samples need to be compared. Some popular tools for the analysis of ASEs are known to report thousands of events without annotations and/or graphical representations. A new tool for the identification and visualization of ASEs is here described, which can be used by biologists without a solid bioinformatics background.Results.A software suite namedSplicing Expresswas created to perform ASEs analysis from transcriptome sequencing data derived from next-generation DNA sequencing platforms. Its major goal is to serve the needs of biomedical researchers who do not have bioinformatics skills.Splicing Expressperforms automatic annotation of transcriptome data (GTF files) using gene coordinates available from the UCSC genome browser and allows the analysis of data from all available species. The identification of ASEs is done by a known algorithm previously implemented in another tool namedSplooce. As a final result,Splicing Expresscreates a set of HTML files composed of graphics and tables designed to describe the expression profile of ASEs among all analyzed samples. By using RNA-Seq data from the Illumina Human Body Map and the Rat Body Map, we show thatSplicing Expressis able to perform all tasks in a straightforward way, identifying well-known specific events.Availability and Implementation.Splicing Expressis written in Perl and is suitable to run only in UNIX-like systems. More details can be found at:http://www.bioinformatics-brazil.org/splicingexpress.

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