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Login: trinityrnaseq

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Members

Brian Haas

Repositories

BerlinTrinityWorkshop2017: workshop in Berlin, mid-June 2017
BerlinTrinityWorkshop2018: week-long Trinity workshop in Berlin, June 2018
BernWorkshop2016: workshop in Bern, Switzerland in Oct 2016
BiCG_2018: null
CSHLadvSeqTech2017: basic rna-seq tutorial, leveraging Trinity, StringTie, HISAT2, and IGV
CSHLProgForBiol2017: rna-seq materials for the CSHL programming for biology series 2017
EMBOtrinityWorkshopSept2016: rnaseq workshop w/ EMBO in Sept 2016, based on the Krumlov 2016 materials
GalaxyTrinityProtocol: Running the Trinity protocol via a Galaxy web interface.
Griffithlab_rnaseq_tutorial: Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
Griffithlab_rnaseq_tutorial_wiki: The wiki repo, with pull request enabled, for the rnaseq_tutorial
keepsakes: milestones and momentos
KrumlovTrinityWorkshopJan2016: Trinity & Trinotate workshop materials for Krumlov, Czech Republic Jan 2016
KrumlovTrinityWorkshopJan2017: Trinity & Trinotate workshop materials for Krumlov, Czech Republic Jan 2017
KrumlovTrinityWorkshopJan2018: Trinity RNA-Seq workshop in Krumlov 2018
minigenome: makes a mini-genome, shrinks introns, useful for developing small test sets and small data sets for workshops
misc_tests: null
NaplesWorkshop2016: null
OICR_RNASeq_2017_Workshop: null
RagonInst_Sept2017_Workshop: Trinity rna-seq workshop at the Ragon Institute, Sept. 2017
RNAseq_2018: null
RNASeq_Trinity_Tuxedo_Workshop: materials for the RNA-Seq workshop on Trinity and Tuxedo, covering de novo and genome-guided transcript assembly and downstream analysis.
SciEDPipeR: Scientific Environment for the Development of Pipeline Resources
seqtk-trinity: Toolkit for processing sequences in FASTA/Q formats
tracer: TraCeR - reconstruction of T cell receptor sequences from single-cell RNAseq data
trinity_example_denovo_assemblies: null
trinity_ext_sample_data: more extensive sample data for exploring various Trinity supported analysis modules
trinityrnaseq: Trinity RNA-Seq de novo transcriptome assembly
trinityrnaseq.github.io: Trinityrnaseq website
UsageTracker: Tracks software version usage via URL ping
v2LongReadTests: null
wgsim-trans: Reads simulator

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.