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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.
Journal ArticleDOI

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 Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing

TL;DR: A quantitative sequencing-based method is developed for mapping transcribed regions, in which complementary DNA fragments are subjected to high-throughput sequencing and mapped to the genome, and it is demonstrated that most (74.5%) of the nonrepetitive sequence of the yeast genome is transcribed.
Journal ArticleDOI

The ENCODE (ENCyclopedia of DNA elements) Project

Elise A. Feingold, +196 more
- 22 Oct 2004 - 
TL;DR: The ENCyclopedia Of DNA Elements (ENCODE) Project is organized as an international consortium of computational and laboratory-based scientists working to develop and apply high-throughput approaches for detecting all sequence elements that confer biological function.
Journal ArticleDOI

ChIP-Seq: advantages and challenges of a maturing technology

TL;DR: The benefits and challenges in harnessing ChIP–seq are described with an emphasis on issues related to experimental design and data analysis, and effective computational analysis will be crucial for uncovering biological mechanisms.
Journal ArticleDOI

ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia

TL;DR: This work discusses how ChIP quality, assessed in these ways, affects different uses of ChIP-seq data and develops a set of working standards and guidelines for ChIP experiments that are updated routinely.
Journal ArticleDOI

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments

TL;DR: This work provides a detailed evaluation of statistical methods for normalization and differential expression analysis of Illumina transcriptome sequencing (mRNA-Seq) data and investigates the impact of the read count normalization method on DE results, and proposes more general quantile-based normalization procedures.
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