2016
DOI: 10.1093/bioinformatics/btw541
|View full text |Cite
|
Sign up to set email alerts
|

ReadXplorer 2—detailed read mapping analysis and visualization from one single source

Abstract: Motivation: The vast amount of already available and currently generated read mapping data requires comprehensive visualization, and should benefit from bioinformatics tools offering a wide spectrum of analysis functionality from just one source. Appropriate handling of multiple mapped reads during mapping analyses remains an issue that demands improvement.Results: The capabilities of the read mapping analysis and visualization tool ReadXplorer were vastly enhanced. Here, we present an even finer granulated re… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
88
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 80 publications
(90 citation statements)
references
References 35 publications
0
88
0
Order By: Relevance
“…Reads aligned to the reference genome was converted to BAM format with samtools/1.9. The final analysis for identification and annotation of TSSs into pTSS and sTSS was done with ReadXplorer [31,67].…”
Section: Reads Mapping Of Tss Librarymentioning
confidence: 99%
See 2 more Smart Citations
“…Reads aligned to the reference genome was converted to BAM format with samtools/1.9. The final analysis for identification and annotation of TSSs into pTSS and sTSS was done with ReadXplorer [31,67].…”
Section: Reads Mapping Of Tss Librarymentioning
confidence: 99%
“…To map dRNA-seq outputs, reads were split by replicon, converted to BAM format and sorted by position with samtools/1.9 [28]. These BAM files were used as input for ReadXplorer [31,67]…”
Section: Transcriptional Start Sites Annotation and Classificationmentioning
confidence: 99%
See 1 more Smart Citation
“…Lower case letters indicate the individual software tools. (a) ReadXplorer [136,152] provides tools for the visualization and analysis of read data originating from massive parallel sequencing. It is particularly useful for RNA-Seq experiments.…”
Section: Genomic Basicsmentioning
confidence: 99%
“…Such data clearly confirm that RNA-Seq has a potential to enhance genome annotation, thereby delivering a new foundation for consecutive functional experiments. ReadXplorer software [136,152] (Fig. 1, a) facilitates the visualization of mapped RNA-Seq reads [116], often an essential prerequisite to biologically construing such transcriptome data.…”
Section: Validation and Augmentation Of Genome Annotations Based On Tmentioning
confidence: 99%