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Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
by
Pertea, Geo M
, Pertea, Mihaela
, Salzberg, Steven L
, Kim, Daehwan
, Leek, Jeffrey T
in
631/114/794
/ 631/1647/2017
/ 631/208/514/1949
/ 631/337/2019
/ Analytical Chemistry
/ Annotations
/ Biological Techniques
/ Computational Biology/Bioinformatics
/ Design
/ Experiments
/ Gene expression
/ Gene Expression Profiling - methods
/ Genes
/ Genomes
/ Healthcare industry software
/ Innovations
/ Life Sciences
/ Medical research
/ Messenger RNA
/ Microarrays
/ Molecular Sequence Annotation
/ Open source software
/ Organic Chemistry
/ Properties
/ Protocol
/ RNA sequencing
/ RNA, Messenger - genetics
/ RNA, Messenger - metabolism
/ Sequence Analysis, RNA - methods
/ Software
/ Software utilities
/ Statistics as Topic - methods
/ User-Computer Interface
2016
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Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
by
Pertea, Geo M
, Pertea, Mihaela
, Salzberg, Steven L
, Kim, Daehwan
, Leek, Jeffrey T
in
631/114/794
/ 631/1647/2017
/ 631/208/514/1949
/ 631/337/2019
/ Analytical Chemistry
/ Annotations
/ Biological Techniques
/ Computational Biology/Bioinformatics
/ Design
/ Experiments
/ Gene expression
/ Gene Expression Profiling - methods
/ Genes
/ Genomes
/ Healthcare industry software
/ Innovations
/ Life Sciences
/ Medical research
/ Messenger RNA
/ Microarrays
/ Molecular Sequence Annotation
/ Open source software
/ Organic Chemistry
/ Properties
/ Protocol
/ RNA sequencing
/ RNA, Messenger - genetics
/ RNA, Messenger - metabolism
/ Sequence Analysis, RNA - methods
/ Software
/ Software utilities
/ Statistics as Topic - methods
/ User-Computer Interface
2016
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Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
by
Pertea, Geo M
, Pertea, Mihaela
, Salzberg, Steven L
, Kim, Daehwan
, Leek, Jeffrey T
in
631/114/794
/ 631/1647/2017
/ 631/208/514/1949
/ 631/337/2019
/ Analytical Chemistry
/ Annotations
/ Biological Techniques
/ Computational Biology/Bioinformatics
/ Design
/ Experiments
/ Gene expression
/ Gene Expression Profiling - methods
/ Genes
/ Genomes
/ Healthcare industry software
/ Innovations
/ Life Sciences
/ Medical research
/ Messenger RNA
/ Microarrays
/ Molecular Sequence Annotation
/ Open source software
/ Organic Chemistry
/ Properties
/ Protocol
/ RNA sequencing
/ RNA, Messenger - genetics
/ RNA, Messenger - metabolism
/ Sequence Analysis, RNA - methods
/ Software
/ Software utilities
/ Statistics as Topic - methods
/ User-Computer Interface
2016
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Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
Journal Article
Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
2016
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Overview
Pertea
et al.
describe a protocol to analyze RNA-seq data using HISAT, StringTie and Ballgown (the ‘new Tuxedo’ package). The protocol can be used for assembly of transcripts, quantification of gene expression levels and differential expression analysis.
High-throughput sequencing of mRNA (RNA-seq) has become the standard method for measuring and comparing the levels of gene expression in a wide variety of species and conditions. RNA-seq experiments generate very large, complex data sets that demand fast, accurate and flexible software to reduce the raw read data to comprehensible results. HISAT (hierarchical indexing for spliced alignment of transcripts), StringTie and Ballgown are free, open-source software tools for comprehensive analysis of RNA-seq experiments. Together, they allow scientists to align reads to a genome, assemble transcripts including novel splice variants, compute the abundance of these transcripts in each sample and compare experiments to identify differentially expressed genes and transcripts. This protocol describes all the steps necessary to process a large set of raw sequencing reads and create lists of gene transcripts, expression levels, and differentially expressed genes and transcripts. The protocol's execution time depends on the computing resources, but it typically takes under 45 min of computer time. HISAT, StringTie and Ballgown are available from
http://ccb.jhu.edu/software.shtml
.
Publisher
Nature Publishing Group UK,Nature Publishing Group
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