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Rapid advances in high-throughput technologies have led to considerable interest in analyzing genome-scale data in the context of biological pathways, with the goal of identifying functional systems that are involved in a given phenotype.…

Quantitative Methods · Quantitative Biology 2015-06-01 Rosemary Braun , Sahil Shah

The ability to measure the transcriptomes of single cells has only been feasible for a few years, and is becoming an extremely popular assay. While many types of analysis and questions can be answered using single cell RNA-sequencing, a…

Genomics · Quantitative Biology 2017-08-09 Valentine Svensson , Roser Vento-Tormo , Sarah A Teichmann

The ominous warnings of a `data deluge' in the life sciences from high-throughput DNA sequencing data are being supplanted by a second deluge, of cliches bemoaning our collective scientific fate unless we address the genomic data `tsunami'.…

Genomics · Quantitative Biology 2013-08-16 Aaron Golden , S. George Djorgovski , John M. Greally

Over the past several years, DNA sequencing has emerged as one of the driving forces in life-sciences, paving the way for affordable and accurate whole genome sequencing. As genomes represent the entirety of an organism's hereditary…

Cryptography and Security · Computer Science 2015-02-17 Emiliano De Cristofaro

High-throughput shotgun sequence data makes it possible in principle to accurately estimate population genetic parameters without confounding by SNP ascertainment bias. One such statistic of interest is the proportion of heterozygous sites…

Populations and Evolution · Quantitative Biology 2012-12-18 Katarzyna Bryc , Nick Patterson , David Reich

Single-cell RNA sequencing (scRNA-seq) has revolutionized our ability to analyze gene expression at the resolution of individual cells, providing unprecedented insights into cellular heterogeneity and complex biological systems. This paper…

Other Quantitative Biology · Quantitative Biology 2024-06-11 Megha Patel , Nimish Magre , Himanshi Motwani , Nik Bear Brown

Geocoding systems are widely used in both scientific research for spatial analysis and everyday life through location-based services. The quality of geocoded data significantly impacts subsequent processes and applications, underscoring the…

Driven by the popularity of television shows such as Who Do You Think You Are? many millions of users have uploaded their family tree to web projects such as WikiTree. Analysis of this corpus enables us to investigate genealogy…

Social and Information Networks · Computer Science 2014-09-02 Michael Fire , Thomas Chesney , Yuval Elovici

Genomic data sets are growing dramatically as the cost of sequencing continues to decline and small sequencing devices become available. Enormous community databases store and share this data with the research community, but some of these…

This paper examines the use of a hierarchical coevolutionary genetic algorithm under different partnering strategies. Cascading clusters of sub-populations are built from the bottom up, with higher-level sub-populations optimising larger…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Larry Bull

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

Today's sequencing technology allows sequencing an individual genome within a few weeks for a fraction of the costs of the original Human Genome project. Genomics labs are faced with dozens of TB of data per week that have to be…

Databases · Computer Science 2009-09-15 Uwe Roehm , Jose Blakeley

The wide array of currently available genomes display a wonderful diversity in size, composition and structure with many more to come thanks to several global biodiversity genomics initiatives starting in recent years. However, sequencing…

In recent years, Whole Genome Sequencing (WGS) evolved from a futuristic-sounding research project to an increasingly affordable technology for determining complete genome sequences of complex organisms, including humans. This prompts a…

Cryptography and Security · Computer Science 2015-02-17 Erman Ayday , Emiliano De Cristofaro , Jean-Pierre Hubaux , Gene Tsudik

The recent advances in sequencing technologies enables the assembly of individual genomes to the reference quality. How to integrate multiple genomes from the same species and to make the integrated representation accessible to biologists…

Genomics · Quantitative Biology 2020-03-16 Heng Li , Xiaowen Feng , Chong Chu

In this paper we describe a new technique for the comparison of populations of DNA strands. Comparison is vital to the study of ecological systems, at both the micro and macro scales. Existing methods make use of DNA sequencing and cloning,…

Biomolecules · Quantitative Biology 2008-07-02 Dennis Shasha , Martyn Amos

Genetic data are now routinely used to study the history of population size, subdivision, and gene flow. A variety of formal statistical methods is available for testing hypotheses and fitting models to data. Yet it is often unclear which…

Populations and Evolution · Quantitative Biology 2022-01-11 Alan R. Rogers

The tremdendous advances in high-throughput sequencing technologies have made population-scale sequencing as performed in the 1000 Genomes project and the Genome of the Netherlands project possible. Next-generation sequencing has allowed…

Genomics · Quantitative Biology 2013-03-15 Tobias Marschall , Alexander Schönhuth

Significant volumes of knowledge have been accumulated in recent years linking subtle genetic variations to a wide variety of medical disorders from Cystic Fibrosis to mental retardation. Nevertheless, there are still great challenges in…

Genomics · Quantitative Biology 2016-11-17 Yaniv Erlich , Assaf Gordon , Michael Brand , Gregory J. Hannon , Partha P. Mitra

Gene set analysis, a popular approach for analyzing high-throughput gene expression data, aims to identify sets of related genes that show significantly enriched or depleted expression patterns between different conditions. In the last…