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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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DissertationDOI

Understanding Inflammatory Bowel Disease using High-Throughput Sequencing

de Lange, +1 more
TL;DR: Katrina de Lange was supported by a Woolf Fisher Trust scholarship, Cambridge Commonwealth Trust scholarships, and the Wellcome Trust.
Journal ArticleDOI

Novel mutations in HTRA1 ‐related cerebral small vessel disease and comparison with CADASIL

TL;DR: The genotypic and phenotypic features of HTRA1‐related CSVD are characterized and compared with CADASIL, and the clinical and neuroimaging signs of heterozygous HTRA2‐ related CSVD can mimic cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy.
Posted ContentDOI

Analysis of the 4q35 chromatin organization reveals distinct long-range interactions in patients affected with Facio-Scapulo-Humeral Dystrophy.

TL;DR: The 3D organization of the 4q35 locus by three-dimensions DNA in situ fluorescent hybridization (3D-FISH) in primary cells isolated from patients found that D4Z4 contractions and/or SMCHD1 mutations impact the spatial organization and trigger changes in the expression of different genes in FSHD.

Diagnostic Implications of Arrhythmogenic Cardiomyopathy Genetic Testing

TL;DR: A fine variant filtering avoids overrepresentation of putative pathogenic mutations and shows that radical and missense mutations should be equally interpreted with great caution in the setting of clinical diagnosis.
Journal ArticleDOI

dms2dfe: Comprehensive Workflow for Analysis of Deep Mutational Scanning Data

TL;DR: Dms2dfe as mentioned in this paper is a comprehensive computational workflow designed to streamline analysis of such data on the basis of evolutionary principles, which assists in contextualizing data from deep mutational scanning experiment in terms of distribution of fitness effects.
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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