P-A10 Improving Sanger and Next Generation Sequencing (NGS) HIV Data Management Using New Downstream Analysis Systems Tailored for Clinical Diagnostics and Research Applications

2014 ◽  
Vol 67 ◽  
pp. 80
Author(s):  
Ronan Boulme ◽  
Natalia Chueca ◽  
Dimitri Gonzalez ◽  
Olga Fernando ◽  
Rafael Delgado ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Data Management ◽  
Clinical Diagnostics ◽  
Next Generation ◽  
Downstream Analysis ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

scholarly journals Demystification of RNAseq Quality Control

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Dragana Dudić ◽  
Bojana Banović Đeri ◽  
Vesna Pajić ◽  
Gordana Pavlović-Lažetić
Keyword(s):  
Quality Control ◽  
Next Generation Sequencing ◽  
Rna Sequencing ◽  
Next Generation ◽  
Comprehensive Guidance ◽  
Dna And Rna ◽  
Control Evaluation ◽  
Downstream Analysis ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Next Generation Sequencing (NGS) analysis has become a widely used method for studying the structure of DNA and RNA, but complexity of the procedure leads to obtaining error-prone datasets which need to be cleansed in order to avoid misinterpretation of data. We address the usage and proper interpretations of characteristic metrics for RNA sequencing (RNAseq) quality control, implemented in and reported by FastQC, and provide a comprehensive guidance for their assessment in the context of total RNAseq quality control of Illumina raw reads. Additionally, we give recommendations how to adequately perform the quality control preprocessing step of raw total RNAseq Illumina reads according to the obtained results of the quality control evaluation step; the aim is to provide the best dataset to downstream analysis, rather than to get better FastQC results. We also tested effects of different preprocessing approaches to the downstream analysis and recommended the most suitable approach.

Initial Next-Generation Sequencing (NGS) Results of Alport Syndrome

2019 ◽  
Author(s):  
Altuğ Koç ◽  
Elçin Bora ◽  
Tayfun Cinleti ◽  
Gizem Yıldız ◽  
Meral Torun Bayram ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Alport Syndrome ◽  
Next Generation ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

The applications of next-generation sequencing (NGS) in drug development for cancer therapy

2020 ◽  
Vol 16 ◽  
Author(s):  
Pelin Telkoparan-Akillilar ◽  
Dilek Cevik
Keyword(s):  
Next Generation Sequencing ◽  
Drug Discovery ◽  
Cancer Therapy ◽  
Target Identification ◽  
Rapid Development ◽  
Next Generation ◽  
Biomedical Sciences ◽  
Dna And Rna ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Background: Numerous sequencing techniques have been progressed since the 1960s with the rapid development of molecular biology studies focusing on DNA and RNA. Methods: a great number of articles, book chapters, websites are reviewed, and the studies covering NGS history, technology and applications to cancer therapy are included in the present article. Results: High throughput next-generation sequencing (NGS) technologies offer many advantages over classical Sanger sequencing with decreasing cost per base and increasing sequencing efficiency. NGS technologies are combined with bioinformatics software to sequence genomes to be used in diagnostics, transcriptomics, epidemiologic and clinical trials in biomedical sciences. The NGS technology has also been successfully used in drug discovery for the treatment of different cancer types. Conclusion: This review focuses on current and potential applications of NGS in various stages of drug discovery process, from target identification through to personalized medicine.

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