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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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Journal ArticleDOI

seekCRIT: Detecting and characterizing differentially expressed circular RNAs using high-throughput sequencing data.

TL;DR: A novel computational tool, seekCRIT (seek for differentially expressed CircRNAs In Transcriptome), that identifies the DECs between two conditions from high-throughput sequencing data, and is demonstrated to be a novel and efficient approach to detect DECs using rRNA depleted RNA-seq data.
Journal ArticleDOI

Whole-genome sequencing and Mycobacterium tuberculosis: Challenges in sample preparation and sequencing data analysis.

TL;DR: This review focuses on the individual steps included in the sequencing workflow and factors that may affect the interpretation of final results.
Journal ArticleDOI

Genomic insights in gynecologic cancer.

TL;DR: The purpose of this article is to provide an overview of the defining molecular abnormalities and markers in gynecologic cancer, to discuss the clinical implications, and to provide a comprehensive view of the current state of genomic knowledge in gyneumologic cancer.
Posted ContentDOI

Cytometric fingerprints of gut microbiota predict Crohn\'s disease state

TL;DR: It is demonstrated that cytometric fingerprints can be used as a diagnostic tool in order to classify samples according to Crohn’s disease state, highlighting the potential of flow cytometry to perform rapid diagnostics of microbiome-associated diseases.
Journal ArticleDOI

RNA-sequencing in ophthalmology research: considerations for experimental design and analysis.

TL;DR: This work provides guidance on the application of RNA-sequencing to ophthalmology and sources of open-access eye-related data sets and the key steps involved in RNA- sequencing experimental design and the downstream bioinformatic pipelines used for differential gene expression.
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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