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DNA sequence analysis is fundamental to life science research. The rapid development of next generation sequencing (NGS) technologies, and the richness and diversity of applications it makes feasible, have created an enormous gulf between…

Computational Engineering, Finance, and Science · Computer Science 2013-10-29 Shel Swenson , Yogesh Simmhan , Viktor Prasanna , Manish Parashar , Jason Riedy , David Bader , Richard Vuduc

The revolutionary progress in development of next-generation sequencing (NGS) technologies has made it possible to deliver accurate genomic information in a timely manner. Over the past several years, NGS has transformed biomedical and…

Genomics · Quantitative Biology 2024-03-07 Liya Popova , Valerie J. Carabetta

Next-generation sequencing (NGS) is a pivotal technique in genome sequencing due to its high throughput, rapid results, cost-effectiveness, and enhanced accuracy. Its significance extends across various domains, playing a crucial role in…

Genomics · Quantitative Biology 2025-04-28 Fathima Nuzla Ismail , Shanika Amarasoma

As artificial intelligence becomes increasingly prevalent in scientific research, data-driven methodologies appear to overshadow traditional approaches in resolving scientific problems. In this Perspective, we revisit a classic…

Artificial Intelligence · Computer Science 2024-06-17 Cheng Wang , Chuwen Wang , Wang Zhang , Shirong Zeng , Yu Zhao , Ronghui Ning , Changjun Jiang

Biosciences have been revolutionized by next generation sequencing (NGS) technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-16 Bruno Dantas , Calmenelias Fleitas , Alexandre P. Francisco , José Simão , Cátia Vaz

Next Generation Sequencing (NGS) technology has resulted in massive amounts of proteomics and genomics data. This data is of no use if it is not properly analyzed. ETL (Extraction, Transformation, Loading) is an important step in designing…

Databases · Computer Science 2017-07-25 Shahzad Ahmed , M. Usman Ali , Javed Ferzund , Muhammad Atif Sarwar , Abbas Rehman , Atif Mehmood

Effective search methods are crucial for improving the performance of deep generative models at test time. In this paper, we introduce a novel test-time search method, Neural Genetic Search (NGS), which incorporates the evolutionary…

Neural and Evolutionary Computing · Computer Science 2025-06-18 Hyeonah Kim , Sanghyeok Choi , Jiwoo Son , Jinkyoo Park , Changhyun Kwon

Next-generation sequencing (NGS) technologies have enabled affordable sequencing of billions of short DNA fragments at high throughput, paving the way for population-scale genomics. Genomics data analytics at this scale requires overcoming…

Databases · Computer Science 2019-10-11 Darryl Ho , Jialin Ding , Sanchit Misra , Nesime Tatbul , Vikram Nathan , Vasimuddin Md , Tim Kraska

Because of the decreasing cost and high digital resolution, next-generation sequencing (NGS) is expected to replace the traditional hybridization-based microarray technology. For genetics study, the first-step analysis of NGS data is often…

Applications · Statistics 2014-01-13 Zhigen Zhao , Wei Wang , Zhi Wei

Since the arrival of next-generation sequencing technologies the amount of genetic sequencing data has increased dramatically. This has has fueled an increase in human genetics research. At the same time, with the recent advent of…

Genomics · Quantitative Biology 2016-07-04 Kristiina Ausmees , Pushpam Aji John

Next-generation sequencing (NGS) is a key technique for studying the DNA and RNA of organisms. However, identifying quality problems in NGS data across different experimental settings remains challenging. To develop automated…

The analysis of next-generation sequencing (NGS) data requires complex computational workflows consisting of dozens of autonomously developed yet interdependent processing steps. Whenever large amounts of data need to be processed, these…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-08 Christopher Schiefer , Marc Bux , Joergen Brandt , Clemens Messerschmidt , Knut Reinert , Dieter Beule , Ulf Leser

The advent of DNA and RNA sequencing has revolutionized the study of genomics and molecular biology. Next generation sequencing (NGS) technologies like Illumina, Ion Torrent, SOLiD sequencing etc. have brought about a quick and cheap way to…

Genomics · Quantitative Biology 2021-03-26 Yun Heo , Gowthami Manikandan , Anand Ramachandran , Deming Chen

Hematology analyzers are essential diagnostic and monitoring tools for detecting blood diseases. Although contemporary analyzers produce only basic insights, they are often not as detailed as required under the personalized medicine…

Other Quantitative Biology · Quantitative Biology 2025-12-16 Aahsan Iqbal , Sohail Khalid , Mujeeb ur Rehman

This issue includes six articles that develop and apply statistical methods for the analysis of gene sequencing data of different types. The methods are tailored to the different data types and, in each case, lead to biological insights not…

Applications · Statistics 2012-06-29 Karen Kafadar

Modern data often arises with multiple modalities. For example, covariates and a network are observed on the same subjects, and both contain useful information. Effectively integrating these modalities is important and challenging,…

Methodology · Statistics 2025-11-25 Tao Shen , Wanjie Wang

Next Generation Sequencing (NGS) technologies generate large amounts of short read data for many different organisms. The fact that NGS reads are generally short makes it challenging to assemble the reads and reconstruct the original genome…

Genomics · Quantitative Biology 2015-04-07 Jie Ren , Kai Song , Minghua Deng , Gesine Reinert , Charles H. Cannon , Fengzhu Sun

Scientific investigations that incorporate next generation sequencing involve analyses of high-dimensional data where the need to organize, collate and interpret the outcomes are pressingly important. Currently, data can be collected at the…

Machine Learning · Statistics 2016-08-01 Stephen T Rush , Christine H Lee , Washington Mio , Peter T Kim

Analyses of targeted genomic sequencing data from next-generation-sequencing (NGS) technologies typically involves mapping reads to a reference sequence or clustering reads. For a number of species a reference genome is not available so the…

Genomics · Quantitative Biology 2016-02-16 Raunaq Malhotra , Daniel Elleder , Le Bao , David R Hunter , Raj Acharya , Mary Poss

Nanopore sequencing technology has the potential to render other sequencing technologies obsolete with its ability to generate long reads and provide portability. However, high error rates of the technology pose a challenge while generating…

Genomics · Quantitative Biology 2019-12-20 Damla Senol Cali , Jeremie S. Kim , Saugata Ghose , Can Alkan , Onur Mutlu
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