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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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Dissertation

Study of tergal glands morphogenesis through an integrative analysis of genomic data

TL;DR: The comparative study of four T7-T8 transcriptomes provided crucial keys of TG formation, but also essential information about the mechanisms and circuitry that allows the shift from nymphal to adult morphogenesis.
Dissertation

Exploration of parallel graph-processing algorithms on distributed architectures

Julien Collet
TL;DR: This thesis work explores how performance studies are helpful in cluster design for graph-processing, and shows that a more in-depth performance analysis can lead to guidelines for the appropriate sizing of a cluster for a given workload, paving the way toward resource allocation forGraphLab.
Book ChapterDOI

Somatic Diseases (Cancer): Whole Exome and Whole Genome Sequencing

TL;DR: The limited utility of sequencing genes without established clinical significance will be discussed and the advantages and limitations of exome and genome sequencing in cancer from a technical perspective, including depth of coverage and variant detection, will be considered.
Posted ContentDOI

MERIT: a Mutation Error Rate Identification Toolkit for Ultra-deep Sequencing Applications

TL;DR: This work introduces MERIT, designed for in-depth quantification of erroneous substitutions and small insertions and deletions, specifically for ultra-deep applications, and assesses nucleotide-incorporation fidelity of four high-fidelity DNA polymerases in clinically relevant loci.
Journal ArticleDOI

Cytomegalovirus variation among newborns treated with valganciclovir.

TL;DR: In this article , the effects of antiviral therapy on CMV diversity while patients are on treatment were analyzed from urine specimens isolated from two patients with cCMV shortly after birth and at seven months, one was treated with valganciclovir for six weeks and the other for six months.
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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