High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformatics

Yang, Mary Qu; Athey, Brian D.; Arabnia, Hamid R.; Sung, Andrew H.; Liu, Qingzhong; Yang, Jack; Mao, Jinghe; Deng, Youping

doi:10.1186/1471-2164-10-s1-i1

Cited by 37 publications

(6 citation statements)

References 19 publications

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“…The parallel short-read strategy of NGS opens many challenges for bioinformatics to interpret the short reads and the genetic variations in human genomes (Wold and Myers, 2008; Yang et al, 2009). The full benefit of NGS will not be achieved until bioinformatics are able to maximally interpret and utilize these short-read sequences, including alignment, assembly, etc (Pop and Salzberg, 2008).…”

Section: Bioinformatics For Ngs Datamentioning

confidence: 99%

The impact of next-generation sequencing on genomics

Zhang

Chiodini

Badr

et al. 2011

Journal of Genetics and Genomics

453

290

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This article reviews basic concepts, general applications, and the potential impact of nextgeneration sequencing (NGS) technologies on genomics, with particular reference to currently available and possible future platforms and bioinformatics. NGS technologies have demonstrated the capacity to sequence DNA at unprecedented speed, thereby enabling previously unimaginable scientific achievements and novel biological applications. But, the massive data produced by NGS also presents a significant challenge for data storage, analyses, and management solutions. Advanced bioinformatic tools are essential for the successful application of NGS technology. As evidenced throughout this review, NGS technologies will have a striking impact on genomic research and the entire biological field. With its ability to tackle the unsolved challenges unconquered by previous genomic technologies, NGS is likely to unravel the complexity of the human genome in terms of genetic variations, some of which may be confined to susceptible loci for some common human conditions. The impact of NGS technologies on genomics will be far reaching and likely change the field for years to come.

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Section: Bioinformatics For Ngs Datamentioning

confidence: 99%

The impact of next-generation sequencing on genomics

Zhang

Chiodini

Badr

et al. 2011

Journal of Genetics and Genomics

453

290

View full text Add to dashboard Cite

show abstract

“…With the expansion of serial numbers, high-throughput sequencing technologies have brought new bioinformatics challenges to the storage and sharing of sequencing data. Compared with traditional sequencing methods, large-scale parallel sequencing technology can obtain sequence information in a short period of time [23,24]. The development of second generation sequencing methods has enabled large scale DNA variation studies at moderate cost [25].…”

Section: Bioinformatics Data Analysismentioning

confidence: 99%

Study of Correlation between Milk Yield and Intestinal Microbes in Chinese Holstein Cows under the Same Diet

Xiuying¹,

Hongyu²,

Zhenya³

et al. 2018

J Microb Biochem Technol

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“…In addition, microarrays can only provide information about the genes that are already included on the array. The emerging next-generation sequencing technology, also called massively parallel sequencing, however, helps to overcome the challenges by generating actual sequence reads [33]. …”

Section: Microarray Based Diagnosis and Prognosis Of Pcamentioning

confidence: 99%

Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era

Chen

Zhang

Yan

et al. 2013

BioMed Research International

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The discovery of prostate cancer biomarkers has been boosted by the advent of next-generation sequencing (NGS) technologies. Nevertheless, many challenges still exist in exploiting the flood of sequence data and translating them into routine diagnostics and prognosis of prostate cancer. Here we review the recent developments in prostate cancer biomarkers by high throughput sequencing technologies. We highlight some fundamental issues of translational bioinformatics and the potential use of cloud computing in NGS data processing for the improvement of prostate cancer treatment.

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High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformatics

Abstract: The advent of high-throughput next generation sequencing technologies have fostered enormous potential applications of supercomputing techniques in genome sequencing, epi-genetics, metagenomics, personalized medicine, discovery of non-coding RNAs and protein-binding sites.

Cited by 37 publications

References 19 publications

The impact of next-generation sequencing on genomics

The impact of next-generation sequencing on genomics

Study of Correlation between Milk Yield and Intestinal Microbes in Chinese Holstein Cows under the Same Diet

Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era

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