MapUniProtFeatures

Last commit

map uniprot features on reference genome.

Usage

This program is now part of the main jvarkit tool. See jvarkit for compiling.

Usage: java -jar dist/jvarkit.jar mapuniprot  [options] Files

Usage: mapuniprot [options] Files
  Options:
    --format
      output format 'annotate' is suitable for bcftools annotate
      Default: bed12
      Possible Values: [annotate, bed12]
    -h, --help
      print help and exit
    --helpFormat
      What kind of help. One of [usage,markdown,xml].
  * -k, --transcripts, --genpred
      Transcrips as genpred format 
      https://genome.ucsc.edu/FAQ/FAQformat.html#format9  . The genePred 
      format is a compact alternative to GFF/GTF because one transcript is 
      described using only one line.    Beware chromosome names are formatted the 
      same as your REFERENCE. A typical KnownGene file is http://hgdownload.cse.ucsc.edu/goldenPath/hg38/database/wgEncodeGencodeBasicV47.txt.gz 
      .If you only have a gff file, you can try to generate a knownGene file 
      with [http://lindenb.github.io/jvarkit/Gff2KnownGene.html](http://lindenb.github.io/jvarkit/Gff2KnownGene.html)
    --version
      print version and exit
  * -R
      Indexed fasta Reference file. This file must be indexed with samtools 
      faidx and with picard/gatk CreateSequenceDictionary or samtools dict
    -o
      Output file. Optional . Default: stdout

Keywords

  • uniprot
  • bed
  • fasta
  • reference
  • xml

Source code

https://github.com/lindenb/jvarkit/tree/master/src/main/java/com/github/lindenb/jvarkit/tools/uniprot/MapUniProtFeatures.java

Contribute

License

The project is licensed under the MIT license.

Citing

Should you cite mapuniprot ? https://github.com/mr-c/shouldacite/blob/master/should-I-cite-this-software.md

The current reference is:

http://dx.doi.org/10.6084/m9.figshare.1425030

Lindenbaum, Pierre (2015): JVarkit: java-based utilities for Bioinformatics. figshare. http://dx.doi.org/10.6084/m9.figshare.1425030

Warning

this program is not fully tested. Please check the results

Example


wget -O knownGene.txt.gz http://hgdownload.cse.ucsc.edu/goldenPath/hg38/database/wgEncodeGencodeBasicV47.txt.gz
wget -O knownGene.sql http://hgdownload.cse.ucsc.edu/goldenPath/hg38/database/wgEncodeGencodeBasicV47.sql


$ java  -jar dist/jvarkit mapuniprot \
    -R /path/to/hg38.fasta \
    -u /path/uri/uniprot.org/uniprot_sprot.xml.gz  \
    -k knownGene.txt.gz | gunzip -c | awk -F '        ' '{if($2 ~ ".*_.*") next; OFS="       "; gsub(/chr/,"",$2);print;}'   ) |\
    LC_ALL=C sort -t '  ' -k1,1 -k2,2n -k3,3n  | uniq | head


1   69090   69144   topological_domain  1000    +   69090   69144   255,0,0 1   54  0
1   69144   69216   transmembrane_region    1000    +   69144   69216   255,0,0 1   72  0
1   69216   69240   topological_domain  1000    +   69216   69240   255,0,0 1   24  0
1   69240   69306   transmembrane_region    1000    +   69240   69306   255,0,0 1   66  0
1   69306   69369   topological_domain  1000    +   69306   69369   255,0,0 1   63  0
1   69357   69636   disulfide_bond  1000    +   69357   69636   255,0,0 1   279 0
1   69369   69429   transmembrane_region    1000    +   69369   69429   255,0,0 1   60  0
1   69429   69486   topological_domain  1000    +   69429   69486   255,0,0 1   57  0
1   69486   69543   transmembrane_region    1000    +   69486   69543   255,0,0 1   57  0
1   69543   69654   topological_domain  1000    +   69543   69654   255,0,0 1   111 0