Article

Probabilistic Approach to Understand Errors in Sequencing and its based Applications

2020-05-02

Abstract excerpt

Next Generation Sequencing has been applied in many areas of biology, including quantification of gene expression, Genome-Wide Association Study (GWAS), gene finding, Motif discovery and much more. Due to the vast area of application and importance in key findings in the field, massive genomic data is being generated using high throughput sequencing. Therefore, sequencing quality also needs to be evaluated in ligh...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: af5d94fa-49c9-55a5-ba12-f17d0ac94ea9
DOI: 10.1101/2020.05.02.073650

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Probabilistic Approach to Understand Errors in Sequencing and its based ApplicationsDOI 10.1101/2020.05.02.073650Read

Identification and correction of systematic error in high-throughput sequence data.Semantic proximity Read

Systematic evaluation of error rates and causes in short samples in next-generation sequencing.Semantic proximity Read

Universally high transcript error rates in bacteria.Semantic proximity Read

Exploratory analysis and error modeling of a sequencing technologySemantic proximity Read

Distinct sequencing success at non-B-DNA motifsSemantic proximity Read

Filtering error from SOLiD Output.Semantic proximity Read

Measurement error and variant-calling in deep Illumina sequencing of HIVSemantic proximity Read

Evaluation of the correctable decoding sequencing as a new powerful strategy for DNA sequencing.Semantic proximity Read

A Fusion Method Based on Alignment Software with SNP and Indel Detection Methods.Semantic proximity Read

ADEPT, a dynamic next generation sequencing data error-detection program with trimming.Semantic proximity Read

Analysis of context-dependent errors for illumina sequencing.Semantic proximity Read

Illumina error profiles: resolving fine-scale variation in metagenomic sequencing data.Semantic proximity Read