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Journal ArticleDOI

Sequencing depth and coverage: key considerations in genomic analyses

TLDR
The issue of sequencing depth in the design of next-generation sequencing experiments is discussed and current guidelines and precedents on the issue of coverage are reviewed for four major study designs, including de novo genome sequencing, genome resequencing, transcriptome sequencing and genomic location analyses.
Abstract
Sequencing technologies have placed a wide range of genomic analyses within the capabilities of many laboratories. However, sequencing costs often set limits to the amount of sequences that can be generated and, consequently, the biological outcomes that can be achieved from an experimental design. In this Review, we discuss the issue of sequencing depth in the design of next-generation sequencing experiments. We review current guidelines and precedents on the issue of coverage, as well as their underlying considerations, for four major study designs, which include de novo genome sequencing, genome resequencing, transcriptome sequencing and genomic location analyses (for example, chromatin immunoprecipitation followed by sequencing (ChIP-seq) and chromosome conformation capture (3C)).

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Citations
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Journal ArticleDOI

Genetic Testing in Neurology: What Every Neurologist Must Know

TL;DR: The basic concepts of genetics, the selection of available tests and their interpretation for neurophysicians are explained to explain the cost-effectiveness of next-genome sequencing compared to the older tests available in the diagnostic armamentarium.
DissertationDOI

Population-haplotype models for mapping and tagging structural variation using whole genome sequencing

TL;DR: This work aims to provide a chronology of the main events leading up to and including the publication of this work and its publication in the peer-reviewed literature.
Dissertation

Genome-wide analysis of DNA damage and repair

Wei Yu
TL;DR: A modified DNA immunoprecipitation technique was developed to combine with high-throughput sequencing that provided strand specific information (ssDIP-seq) and validates that a majority of un-repaired CPDs are located inside of heterochromatic regions and are deplete in regions with euchromatin histone modifications.
Book ChapterDOI

Next Generation Sequencing for the Detection of Foodborne Microbial Pathogens

TL;DR: The goals for this chapter are to inform investigators of the basics behind NGS, how data are produced and how they can be utilized to inform the detection and study of pathogen(s) of interest, and discuss how NGS is revolutionizing disease detection, surveillance, and response.
Posted ContentDOI

Evaluation on Detection of Structural Variants by Low-Coverage Long-Read Sequencing

TL;DR: To automate SV calling, a computational pipeline is developed, which integrates PBhoney and Sniffles and generates the union (high sensitivity) or intersection (high specificity) call sets, which provide useful guidelines for SV identification from low coverage whole-genome PacBio data.
References
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Journal ArticleDOI

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
Journal ArticleDOI

Initial sequencing and analysis of the human genome.

Eric S. Lander, +248 more
- 15 Feb 2001 - 
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Journal ArticleDOI

Differential expression analysis for sequence count data.

Simon Anders, +1 more
- 27 Oct 2010 - 
TL;DR: A method based on the negative binomial distribution, with variance and mean linked by local regression, is proposed and an implementation, DESeq, as an R/Bioconductor package is presented.
Journal ArticleDOI

RNA-Seq: a revolutionary tool for transcriptomics

TL;DR: The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
Journal ArticleDOI

TopHat: discovering splice junctions with RNA-Seq

TL;DR: The TopHat pipeline is much faster than previous systems, mapping nearly 2.2 million reads per CPU hour, which is sufficient to process an entire RNA-Seq experiment in less than a day on a standard desktop computer.
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