NAME

       idba_tran  -  Iterative  de  Bruijn  Graph  Assembler  for  next-generation  transcriptome
       sequencing data.

SYNOPSIS

       idba_tran -r read.fa -o output_dir

DESCRIPTION

       IDBA-Tran  -  Iterative  de  Bruijn  Graph  Assembler  for  next-generation  transcriptome
       sequencing data.

   Allowed Options:
       -o, --out arg (=out)
              output directory

       -r, --read arg
              fasta read file (<=128)

       -l, --long_read arg
              fasta long read file (>128)

       --mink arg (=20)
              minimum k value (<=124)

       --maxk arg (=60)
              maximum k value (<=124)

       --step arg (=10)
              increment of k-mer of each iteration

       --inner_mink arg (=10)
              inner minimum k value

       --inner_step arg (=5)
              inner increment of k-mer

       --prefix arg (=3)
              prefix length used to build sub k-mer table

       --min_count arg (=2)
              minimum multiplicity for filtering k-mer when building the graph

       --min_support arg (=1)
              minimum supoort in each iteration

       --num_threads arg (=0)
              number of threads

       --seed_kmer arg (=30)
              seed kmer size for alignment

       --min_contig arg (=200)
              minimum size of contig

       --min_transcript arg (=300)
              minimum size of transcript

       --similar arg (=0.95)
              similarity for alignment

       --max_mismatch arg (=3)
              max mismatch of error correction

       --no_local
              do not use local assembly

       --no_coverage
              do not iterate on coverage

       --no_correct
              do not do correction

       --pre_correction
              perform pre-correction before assembly

       --max_isoforms arg (=3)
              maximum number of isoforms

       --max_component_size arg (=30)
              maximum size of components

AUTHOR

        This manpage was written by Andreas Tille for the Debian distribution and
        can be used for any other usage of the program.