eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing
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Title
eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing
Authors
Keywords
RNA sequencing, Bioinformatics tool, Graphic user interface, Parallel processing
Journal
BMC GENOMICS
Volume 15, Issue 1, Pages 176
Publisher
Springer Nature
Online
2014-03-05
DOI
10.1186/1471-2164-15-176
References
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Note: Only part of the references are listed.- Characterization of human plasma-derived exosomal RNAs by deep sequencing
- (2013) Xiaoyi Huang et al. BMC GENOMICS
- Assessment of transcript reconstruction methods for RNA-seq
- (2013) Tamara Steijger et al. NATURE METHODS
- Systematic evaluation of spliced alignment programs for RNA-seq data
- (2013) Pär G Engström et al. NATURE METHODS
- miRspring: a compact standalone research tool for analyzing miRNA-seq data
- (2013) David T. Humphreys et al. NUCLEIC ACIDS RESEARCH
- TCW: Transcriptome Computational Workbench
- (2013) Carol Soderlund et al. PLoS One
- TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
- (2013) Daehwan Kim et al. GENOME BIOLOGY
- Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
- (2013) Franck Rapaport et al. GENOME BIOLOGY
- Fast gapped-read alignment with Bowtie 2
- (2012) Ben Langmead et al. NATURE METHODS
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
- (2012) Cole Trapnell et al. Nature Protocols
- Performance comparison and evaluation of software tools for microRNA deep-sequencing data analysis
- (2012) Yue Li et al. NUCLEIC ACIDS RESEARCH
- RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
- (2012) M. Lohse et al. NUCLEIC ACIDS RESEARCH
- Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges
- (2012) Purvesh Khatri et al. PLoS Computational Biology
- A pipeline for RNA-seq data processing and quality assessment
- (2011) Angela Goncalves et al. BIOINFORMATICS
- New methods for next generation sequencing based microRNA expression profiling
- (2011) Henk PJ Buermans et al. BMC GENOMICS
- Chipster: user-friendly analysis software for microarray and other high-throughput data
- (2011) M Aleksi Kallio et al. BMC GENOMICS
- miRanalyzer: an update on the detection and analysis of microRNAs in high-throughput sequencing experiments
- (2011) M. Hackenberg et al. NUCLEIC ACIDS RESEARCH
- GENE-Counter: A Computational Pipeline for the Analysis of RNA-Seq Data for Gene Expression Differences
- (2011) Jason S. Cumbie et al. PLoS One
- ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data
- (2011) Brad A Friedman et al. GENOME BIOLOGY
- miRNAkey: a software for microRNA deep sequencing analysis
- (2010) Roy Ronen et al. BIOINFORMATICS
- MIReNA: finding microRNAs with high accuracy and no learning at genome scale and from deep sequencing data
- (2010) Anthony Mathelier et al. BIOINFORMATICS
- DSAP: deep-sequencing small RNA analysis pipeline
- (2010) Po-Jung Huang et al. NUCLEIC ACIDS RESEARCH
- mirTools: microRNA profiling and discovery based on high-throughput sequencing
- (2010) Erle Zhu et al. NUCLEIC ACIDS RESEARCH
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
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