scholarly journals Fast estimation of genetic relatedness between members of heterogeneous populations of closely related genomic variants

2018 ◽  
Author(s):  
Viachaslau Tsyvina ◽  
David S. Campo ◽  
Seth Sims ◽  
Alex Zelikovsky ◽  
Yury Khudyakov ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Genetic Relatedness ◽  
Sequence Similarity ◽  
Large Datasets ◽  
Heterogeneous Populations ◽  
Genomic Variants ◽  
Fast Estimation ◽  
Evolution Of Viruses ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

AbstractMany biological analysis tasks require extraction of families of genetically similar sequences from large datasets produced by Next-generation Sequencing (NGS). Such tasks include detection of viral transmissions by analysis of all genetically close pairs of sequences from viral datasets sampled from infected individuals or studying of evolution of viruses or immune repertoires by analysis of network of intra-host viral variants or antibody clonotypes formed by genetically close sequences. The most obvious naϊeve algorithms to extract such sequence families are impractical in light of the massive size of modern NGS datasets. In this paper, we present fast and scalable k-mer-based framework to perform such sequence similarity queries efficiently, which specifically targets data produced by deep sequencing of heterogeneous populations such as viruses. The tool is freely available for download at https://github.com/vyacheslav-tsivina/signature-sj

scholarly journals Fast estimation of genetic relatedness between members of heterogeneous populations of closely related genomic variants

2018 ◽  
Vol 19 (S11) ◽  
Author(s):  
Viachaslau Tsyvina ◽  
David S. Campo ◽  
Seth Sims ◽  
Alex Zelikovsky ◽  
Yury Khudyakov ◽  
...  
Keyword(s):  
Genetic Relatedness ◽  
Heterogeneous Populations ◽  
Genomic Variants ◽  
Fast Estimation

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.

scholarly journals Next-Generation Sequencing in Tumor Diagnosis and Treatment

Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 962
Author(s):  
Dario de Biase ◽  
Matteo Fassan ◽  
Umberto Malapelle
Keyword(s):  
Next Generation Sequencing ◽  
Tumor Diagnosis ◽  
Diagnosis And Treatment ◽  
Next Generation ◽  
Multiple Genes ◽  
Next Generation Sequencing Ngs ◽  
Very High ◽  
Generation Sequencing ◽  
High Depth

Next-Generation Sequencing (NGS) allows for the sequencing of multiple genes at a very high depth of coverage [...]

scholarly journals Detection of SARS-CoV-2 from patient fecal samples by whole genome sequencing

Gut Pathogens ◽  
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Andreas Papoutsis ◽  
Thomas Borody ◽  
Siba Dolai ◽  
Jordan Daniels ◽  
Skylar Steinberg ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Nasopharyngeal Swab ◽  
Whole Genome ◽  
Rt Pcr ◽  
Whole Genome Analysis ◽  
Fecal Samples ◽  
Oral Transmission ◽  
Study Participants ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

Abstract Background SARS-CoV-2 has been detected not only in respiratory secretions, but also in stool collections. Here were sought to identify SARS-CoV-2 by enrichment next-generation sequencing (NGS) from fecal samples, and to utilize whole genome analysis to characterize SARS-CoV-2 mutational variations in COVID-19 patients. Results Study participants underwent testing for SARS-CoV-2 from fecal samples by whole genome enrichment NGS (n = 14), and RT-PCR nasopharyngeal swab analysis (n = 12). The concordance of SARS-CoV-2 detection by enrichment NGS from stools with RT-PCR nasopharyngeal analysis was 100%. Unique variants were identified in four patients, with a total of 33 different mutations among those in which SARS-CoV-2 was detected by whole genome enrichment NGS. Conclusion These results highlight the potential viability of SARS-CoV-2 in feces, its ongoing mutational accumulation, and its possible role in fecal–oral transmission. This study also elucidates the advantages of SARS-CoV-2 enrichment NGS, which may be a key methodology to document complete viral eradication. Trial registration ClinicalTrials.gov, NCT04359836, Registered 24 April 2020, https://clinicaltrials.gov/ct2/show/NCT04359836?term=NCT04359836&draw=2&rank=1).

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