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技巧 | 从 GFF 文件提取 CDS 并翻译成蛋白

技巧 | 从 GFF 文件提取 CDS 并翻译成蛋白

作者: biogeeker | 来源:发表于2020-10-25 22:27 被阅读0次
    Usage:
    gffread <input_gff> [-g <genomic_seqs_fasta> | <dir>][-s <seq_info.fsize>] 
     [-o <outfile.gff>] [-t <tname>] [-r [[<strand>]<chr>:]<start>..<end> [-R]]
     [-CTVNJMKQAFGUBHZWTOLE] [-w <exons.fa>] [-x <cds.fa>] [-y <tr_cds.fa>]
     [-i <maxintron>] 
     Filters and/or converts GFF3/GTF2 records.
     <input_gff> is a GFF file, use '-' if the GFF records will be given at stdin
     
     Options:
      -g  full path to a multi-fasta file with the genomic sequences
          for all input mappings, OR a directory with single-fasta files
          (one per genomic sequence, with file names matching sequence names)
      -s  <seq_info.fsize> is a tab-delimited file providing this info
          for each of the mapped sequences:
          <seq-name> <seq-length> <seq-description>
          (useful for -A option with mRNA/EST/protein mappings)
      -i  discard transcripts having an intron larger than <maxintron>
      -r  only show transcripts overlapping coordinate range <start>..<end>
          (on chromosome/contig <chr>, strand <strand> if provided)
      -R  for -r option, discard all transcripts that are not fully 
          contained within the given range
      -U  discard single-exon transcripts
      -C  coding only: discard mRNAs that have no CDS feature
      -F  full GFF attribute preservation (all attributes are shown)
      -G  only parse additional exon attributes from the first exon
          and move them to the mRNA level (useful for GTF input)
      -A  use the description field from <seq_info.fsize> and add it
          as the value for a 'descr' attribute to the GFF record
      
      -O  process also non-transcript GFF records (by default non-transcript
          records are ignored)
      -V  discard any mRNAs with CDS having in-frame stop codons
      -H  for -V option, check and adjust the starting CDS phase
          if the original phase leads to a translation with an 
          in-frame stop codon
      -B  for -V option, single-exon transcripts are also checked on the
          opposite strand
      -N  discard multi-exon mRNAs that have any intron with a non-canonical
          splice site consensus (i.e. not GT-AG, GC-AG or AT-AC)
      -J  discard any mRNAs that either lack initial START codon
          or the terminal STOP codon, or have an in-frame stop codon
          (only print mRNAs with a fulll, valid CDS)
      --no-pseudo: filter out records matching the 'pseudo' keyword
     
      -M/--merge : cluster the input transcripts into loci, collapsing matching
           transcripts (those with the same exact introns and fully contained)
      -d <dupinfo> : for -M option, write collapsing info to file <dupinfo>
      --cluster-only: same as --merge but without collapsing matching transcripts
      -K  for -M option: also collapse shorter, fully contained transcripts
          with fewer introns than the container
      -Q  for -M option, remove the containment restriction:
          (multi-exon transcripts will be collapsed if just their introns match,
          while single-exon transcripts can partially overlap (80%))
     
      --force-exons: make sure that the lowest level GFF features are printed as 
          "exon" features
      -E  expose (warn about) duplicate transcript IDs and other potential 
          problems with the given GFF/GTF records
      -D  decode url encoded characters within attributes
      -Z  merge close exons into a single exon (for intron size<4)
      -w  write a fasta file with spliced exons for each GFF transcript
      -x  write a fasta file with spliced CDS for each GFF transcript
      -W  for -w and -x options, also write for each fasta record the exon
          coordinates projected onto the spliced sequence
      -y  write a protein fasta file with the translation of CDS for each record
      -L  Ensembl GTF to GFF3 conversion (implies -F; should be used with -m)
      -m  <chr_replace> is a reference (genomic) sequence replacement table with
          this format:
          <original_ref_ID> <new_ref_ID>
          GFF records on reference sequences that are not found among the
          <original_ref_ID> entries in this file will be filtered out
      -o  the "filtered" GFF records will be written to <outfile.gff>
          (use -o- for printing to stdout)
      -t  use <trackname> in the second column of each GFF output line
      -T  -o option will output GTF format instead of GFF3
    
    $ conda install gffread
    $ gffread test.gff3 -g genome.fa -x cds.fa -y protein.fa
    

    Ref | 根据基因组 fa 文件和 gff 文件提取 cds 并翻译成 pep

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