@article{
 title = {ReadXplorer - Visualization and analysis of mapped sequences},
 type = {article},
 year = {2014},
 identifiers = {[object Object]},
 pages = {2247-2254},
 volume = {30},
 id = {f551dc9e-57ea-32f7-9693-835ce8c5edff},
 created = {2018-06-28T15:26:55.419Z},
 file_attached = {false},
 profile_id = {2ed0fe69-06a2-3e8b-9bc9-5bdb197f1120},
 group_id = {e795dbfa-5576-3499-9c01-6574f19bf7aa},
 last_modified = {2018-12-14T12:16:32.674Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Hilker2014},
 private_publication = {false},
 abstract = {MOTIVATION:Fast algorithms and well-arranged visualizations are required for the comprehensive analysis of the ever-growing size of genomic and transcriptomic next-generation sequencing data.\n\nRESULTS:ReadXplorer is a software offering straightforward visualization and extensive analysis functions for genomic and transcriptomic DNA sequences mapped on a reference. A unique specialty of ReadXplorer is the quality classification of the read mappings. It is incorporated in all analysis functions and displayed in ReadXplorer's various synchronized data viewers for (i) the reference sequence, its base coverage as (ii) normalizable plot and (iii) histogram, (iv) read alignments and (v) read pairs. ReadXplorer's analysis capability covers RNA secondary structure prediction, single nucleotide polymorphism and deletion-insertion polymorphism detection, genomic feature and general coverage analysis. Especially for RNA-Seq data, it offers differential gene expression analysis, transcription start site and operon detection as well as RPKM value and read count calculations. Furthermore, ReadXplorer can combine or superimpose coverage of different datasets.\n\nAVAILABILITY AND IMPLEMENTATION:ReadXplorer is available as open-source software at http://www.readxplorer.org along with a detailed manual.\n\nCONTACT:rhilker@mikrobio.med.uni-giessen.de\n\nSUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.},
 bibtype = {article},
 author = {Hilker, Rolf and Stadermann, Kai Bernd and Doppmeier, Daniel and Kalinowski, Jörn and Stoye, Jens and Straube, Jasmin and Winnebald, Jörn and Goesmann, Alexander},
 journal = {Bioinformatics},
 number = {16}
}

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