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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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A survey of best practices for RNA-seq data analysis

TL;DR: All of the major steps in RNA-seq data analysis are reviewed, including experimental design, quality control, read alignment, quantification of gene and transcript levels, visualization, differential gene expression, alternative splicing, functional analysis, gene fusion detection and eQTL mapping.
Journal ArticleDOI

Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

TL;DR: The Microenvironment Cell Populations-counter method is introduced, which allows the robust quantification of the absolute abundance of eight immune and two stromal cell populations in heterogeneous tissues from transcriptomic data and demonstrates that MCP-counter overcomes several limitations or weaknesses of previously proposed computational approaches.
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Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life

TL;DR: The recovery of 7,903 bacterial and archaeal metagenome-assembled genomes increases the phylogenetic diversity represented by public genome repositories and provides the first representatives from 20 candidate phyla.
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Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

TL;DR: Qualimap 2 represents a next step in the QC analysis of HTS data, along with comprehensive single-sample analysis of alignment data, and includes new modes that allow simultaneous processing and comparison of multiple samples.
Journal ArticleDOI

UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy

TL;DR: It is shown that errors in the UMI sequence are common and network-based methods to account for these errors when identifying PCR duplicates are introduced, demonstrating the value of properly accounting for errors in UMIs.
References
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Journal ArticleDOI

The first Korean genome sequence and analysis: Full genome sequencing for a socio-ethnic group

TL;DR: The first Korean individual genome sequence (SJK) and analysis results indicate that the overall genetic differences among individuals from closely related ethnic groups may be significant and constructing reference genomes for minor socio-ethnic groups will be useful for massive individual genome sequencing.
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A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae

TL;DR: This study provides a useful and comprehensive comparison between the two platforms (RNA-seq and microrrays) for gene expression analysis and addresses the contribution of the different steps involved in the analysis of RNA-seq data.
Journal ArticleDOI

Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts

TL;DR: This comprehensive analysis substantially expands the known roles of human SR proteins in the regulation of a diverse array of RNA transcripts by defining the specificity of a central regulator of pre-mRNA splicing, the conserved, essential splicing factor SFRS1.
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Low-coverage sequencing: Implications for design of complex trait association studies

TL;DR: As progressively larger numbers of individuals are sequenced, increasingly accurate genotype calls can be generated for a given sequence depth, and low-coverage sequencing is used to build a reference panel that can drive imputation into additional samples to increase power further.
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