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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.
Journal ArticleDOI

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

Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

Keith Bradnam, +98 more
- 22 Jul 2013 - 
TL;DR: The Assemblathon 2 as discussed by the authors presented a variety of sequence data to be assembled for three vertebrate species (a bird, a fish, and a snake) from 21 participating teams.
Journal ArticleDOI

CNV-seq, a new method to detect copy number variation using high-throughput sequencing.

TL;DR: The results show that the number of reads, not the length of the reads is the key factor determining the resolution of detection, which favors the next-generation sequencing methods that rapidly produce large amount of short reads.
Journal ArticleDOI

Copy number variation detection and genotyping from exome sequence data

TL;DR: A novel method using singular value decomposition (SVD) normalization to discover rare genic copy number variants (CNVs) as well as genotype copy number polymorphic (CNP) loci with high sensitivity and specificity from exome sequencing data is developed.
Journal ArticleDOI

Fast computation and applications of genome mappability.

TL;DR: A fast mapping-based algorithm is presented to compute the mappability of each region of a reference genome up to a specified number of mismatches, highlighting mappable as an important concept which deserves to be taken into full account when massively parallel sequencing technologies are employed.
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