The applications listed here are available for use in the Discovery Environment and are documented in: Discovery Environment Manual.

Discovery Environment Applications List

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The DE Quick Start tutorial provides an introduction to basic DE functionality and navigation.

Please work through the documentation and add your comments on the bottom of this page, or email comments to

Rationale and background:

RMTA is a wrapper script built on top of several publicly available bioinformatic tools that can rapidly proceed from raw short read data to assembled transcripts. RMTA performs this by mapping reads using either HiSat2 or Bowtie2 and then assembling transcripts using either Cufflinks or StringTie according to user preference. RMTA can process FASTQ files containing paired-end or single-end reads or can directly process one or more sequence read archives (SRA) from NCBI using SRA IDs. RMTA has been successfully used by many groups as the first step towards the identification of long non-coding RNAs using the Evolinc workflow. More information about RMTA can be found here

RMTA (read mapping, transcript assembly), is a gene quantification workflow for RNA-Seq data utilizing CyVerse’s Discovery Environment HT-Condor for job submission and Datastore for data management.

RMTA minimally requires the following input data:

  1. Reference Genome (FASTA) or Hisat2 Indexed Reference Genome (in a subdirectory)
  2. Reference Transcriptome (GFF3/GTF/GFF)
  3. RNA-Seq reads (FASTQ) - Single end or Paired-end (compressed or uncompressed) or multiple NCBI SRA id's (each SRA ID on a separate row in the text file).


  1. A CyVerse account (Register for a CyVerse account at 

  2. An up-to-date Java-enabled web browser. (Firefox recommended. If you wish to work with your own large datasets and upload them using iCommands, Chrome is not suitable due to its issues in utilizing 64-bit Java.)

  3. Mandatory arguments 

    1. Reference genome 


      Select at least one of the below two options for the indexing of the Reference Genome

      1. Custom genome
      2. Reference genome from the list
      3. Hisat2 Indexed folder (Preferred type)
    2. Reference annotation

      1. Custom Reference annotation
      2. Reference Annotation from the list



      Only one of the following three read options has to be selected.

    3. Paired-end reads

      1. FASTQ Files (Read 1): HT path list of read 1 files of paired-end data
      2. FASTQ Files (Read 2): HT path list of read 2 files of paired-end data
    4. Single-end reads

      1. Single end FASTQ files: HT path list of read files of single-end data
    5. SRA

      1. File containing SRA id's: HT path list of multiple SRA ids list files
    6. Cufflinks/Stringtie:  


      Only one of the below two options needs to be checked. Cannot select both

      1. StringTie
      2. Cufflinks
      3. Coverage cut-off threshold: Select from 0-5 (Default is 2)
      4. FPKM cut-off threshold: FPKM cut-off you want to use to filter the transcripts (Default is 2)
  4. Advanced options
    1. Type of Sequence: Choose either Single End or Paired End
    2. Number of threads (Default is 4)
    3. FPKM cut-off threshold (For RNA-Seq reads only with Hisat2) (Default is 0)
    4. Coverage cut-off threshold (For RNA-Seq reads only with Hisat2) (Default is 0)
    5. Choose RNA strandedness (default is unstranded) 
    6. Trim bases from 5' end of read: Trim bases from 5' (left) end of each read before alignment (Default is 0)
    7. Trim bases from 3' end of read: Trim bases from 3' (right) end of each read before alignment (Default is 0)
    8. Minimum intron length: Set minimum intron length (Default is 20)
    9. Maximum intron length: Set maximum intron length (Default is 500000)
    10. Phred64 (Default is Phred33): Check to run Phred64
    11. Run Fastqc
    12. Remove duplicate reads
  5. RMTA_Output
    1. Name of the output folder (Default is RMTA_Output)
    1. HISAT2 and BOWTIE2 are fast and sensitive alignment program for mapping next-generation sequencing reads (both DNA and RNA). StringTie is a fast and highly efficient assembler of RNA-Seq alignments into potential transcripts. Cuffcompare compare your assembled transcripts to a reference annotation and track Cufflinks transcripts across multiple experiments (e.g. across a time course).

Test/sample data

The following test data are provided for testing RMTA in here - /iplant/home/shared/iplantcollaborative/example_data/RMTA

  1. Reference Genome: genome_chr1.fa
  2. Reference Annotation: genome_chr1.gtf
  3. left_reads- sample_1_R1.fq.gz
  4. right_reads-sample_1_R2.fq.gz
  5.  Stringtie
  6. Fragment Library Type: FR

Leave the rest as default


Successful execution of RMTA will generate two output folders

  1. Index: This folder consists of the index of the genome
  2. Output: This folder consists of the output from Hisat2, Stringtie and Cuffcompare (Please refer to the manual for the explanation of outputs from these individual programs)
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