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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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Ribosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish.

TL;DR: In this article, the authors developed regression between ovary development and three ribosome RNA (rRNA) indexes, namely 5S rRNA percent, 18S r RNA percent, and 5S-18S RRNA ratio, using close relationship between volume percent of primary growth stage oocytes or gonadosomatic index and rRNA content.
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Metataxonomic profiling of bacterial communities and their predictive functional profiles in traditionally preserved meat products of Sikkim state in India

TL;DR: In this paper, the authors studied the high-throughput sequencing of four traditionally preserved meat products viz. beef kargyong, pork kargYong, yak satchu and khyopeh to profile the bacterial communities and also inferred their predictive functional profiles.
Journal ArticleDOI

Rapid Identification of Pathogenic Variants in Two Cases of Charcot-Marie-Tooth Disease by Gene-Panel Sequencing

TL;DR: A CMT gene panel comprising 27 genes was used to uncover the pathogenic mutations in two index patients, both of which are clinically compatible with CMT, have undergone multiple genetic testings and have not previously received a definitive genetic diagnosis.
Journal ArticleDOI

A hidden markov model for identifying differentially methylated sites in bisulfite sequencing data.

TL;DR: An efficient DMC identification method based on Hidden Markov Models (HMMs) called “DMCHMM” is developed which is a three‐step approach (model selection, prediction, testing) aiming to address the aforementioned drawbacks.
Journal ArticleDOI

Differentiation and activation of fibroblastic reticular cells.

TL;DR: In this article, the authors reviewed novel findings from high-resolution transcriptomic analyses that refine our understanding of FRC differentiation and activation processes in the context of infection and inflammation, and further discuss concepts, strategies, and limitations for the analysis of single-cell transcriptome data from FRCs and the wide-ranging implications for their understanding of stromal cell biology.
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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