bio-blastxmlparser

blastxmlparser is a very fast parallelised big-data BLAST XML file parser, which can be used as command line utility. Use blastxmlparser to:

Parse BLAST XML
Filter output
Generate FASTA, JSON, YAML, RDF, JSON-LD, HTML, csv, tabular output etc.

Rather than loading everything in memory, XML is parsed by BLAST query (Iteration). Not only has this the advantage of low memory use, it also shows results early, and it is faster when IO continues in parallel (disk read-ahead).

blastxmlparser comes as a command line utility, which can be used to filter results and requires no understanding of Ruby.

Quick start

  gem install bio-blastxmlparser
  gem install parallel # if you want multi-core support
  blastxmlparser --help

Performance

XML parsing and transformation is expensive. blastxmlparser can use the fast Nokogiri C, or Java XML parsers, based on libxml2 in parallel. A DOM parser is used after splitting the BLAST XML document into subsections. Tests show this is faster than a SAX parser with Ruby callbacks. To see why libxml2 based Nokogiri is fast, see xml.com. And blastxmlparser uses Nokogiri in parallel.

Blastxmlparser is designed with other optimizations, such as lazy evaluation, i.e., only creating objects when required. When parsing a full BLAST result usually only a few fields are used. By using XPath queries the parser makes sure only the relevant fields are queried.

Timings for parsing a 1 Gb BLAST XML file on 4-core 1.2GHz laptop

  real    2m40.248s
  user    8m11.075s
  sys     0m37.198s

which makes for pretty good core utilisation and limited RAM use. If you have enough RAM it may make sense to try the `--parser nosplit' option which starts by reading the full DOM into RAM. It may be faster and show different IO characteristics.

Install

  gem install parallel bio-blastxmlparser

Important: the parser is written for Ruby 1.9 or later. Check with

  ruby -v
  gem env

Nokogiri XML parser is required. To install it, the libxml2 libraries and headers may need to be installed first, for example on Debian:

  apt-get install libxslt-dev libxml2-dev
  gem install bio-blastxmlparser

Command line usage

Usage

  blastxmlparser [options] file(s)

    -p, --parser name                Use split|nosplit parser (default split)
        --filter filter              Filtering expression
        --threads num                Use parallel threads
    -e, --exec filter                Evaluate filter (deprecated)

    -n, --named fields               Print named fields
        --output-fasta               Output FASTA
    -t, --template erb               Use ERB template for output

        --logger filename            Log to file (default stderr)
        --trace options              Set log level (default INFO, see bio-logger)
    -q, --quiet                      Run quietly
    -v, --verbose                    Run verbosely
        --debug                      Show debug messages
    -h, --help                       Show help and examples

Examples

Print result fields of iterations containing 'lcl', using a regex

  blastxmlparser --filter 'iter.query_id=~/lcl/' test/data/nt_example_blastn.m7

prints a tab delimited

  1       1       lcl|1_0 lcl|I_74685     1       5.82208e-34
  2       1       lcl|1_0 lcl|I_1 1       5.82208e-34
  3       2       lcl|2_0 lcl|I_2 1       6.05436e-59
  4       3       lcl|3_0 lcl|I_3 1       2.03876e-56

The second and third column show the BLAST iteration, and the others relate to the hits.

As this is evaluated Ruby, it is also possible to use the XML element names directly

  blastxmlparser --filter 'hsp["Hsp_bit-score"].to_i>145' test/data/nt_example_blastn.m7

Or the shorter

  blastxmlparser --filter 'hsp.bit_score>145' test/data/nt_example_blastn.m7

And it is possible to print (non default) named fields where E-value < 0.001 and hit length > 100. E.g.

  blastxmlparser -n 'hsp.evalue,hsp.qseq' --filter 'hsp.evalue<0.01 and hit.len>100' test/data/nt_example_blastn.m7

  1       5.82208e-34     AGTGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCT...
  2       5.82208e-34     AGTGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCT...
  3       2.76378e-11     AATATGGTAGCTACAGAAACGGTAGTACACTCTTC     
  4       1.13373e-13     CTAAACACAGGAGCATATAGGTTGGCAGGCAGGCAAAAT 
  5       2.76378e-11     GAAGAGTGTACTACCGTTTCTGTAGCTACCATATT     
  etc. etc.

prints the evalue and qseq columns. To output FASTA use --output-fasta

  blastxmlparser --output-fasta --filter 'hsp.evalue<0.01 and hit.len>100' test/data/nt_example_blastn.m7

which prints matching sequences, where the first field is the accession, followed by query iteration id, and hit_id. E.g.

  >I_74685 1|lcl|1_0 lcl|I_74685 [57809 - 57666] (REVERSE SENSE) 
  AGTGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCTGCCTGCCAACCTATATGCTCCTGTGTTTAG
  >I_1 1|lcl|1_0 lcl|I_1 [477 - 884] 
  AGTGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCTGCCTGCCAACCTATATGCTCCTGTGTTTAG
  etc. etc.

Modify output

To have more output options blastxmlparser can use an ERB template for every match. This is a very flexible option that can output textual formats such as JSON, YAML, HTML and RDF. Examples are provided in ./templates. A JSON template could be

{ "<%= hit.parent.query_def %>": {
  "num":      <%= hit.hit_num %>,
  "id":       "<%= hit.hit_id %>",
  "len":      <%= hit.len %>,
  "E-value":  <%= hsp.evalue %>,
  "bitscore": <%= hsp.bit_score %>,
  "qseq":     "<%= hsp.qseq %>",
  "midline":  "<%= hsp.midline %>", 
  "hseq":     "<%= hsp.hseq %>",
};

To get JSON, run it with

  blastxmlparser --template template/blast2json.erb --filter 'hsp.evalue<0.01 and hit.len>100' test/data/nt_example_blastn.m7

{ "B0511.9d gene=WBGene00015235": {
  "num":      5,
  "id":       "gi|268566471|ref|XP_002639731.1|",
  "len":      199,
  "E-value":  1.72502e-22,
  "bitscore": 96.6709,
  "qseq":     "MSMLRRPLTQLELSVI------------------VPKCXXXXXXXXXXXXQSEPPRGITRRNLRSADRKNRDVPGPSTGECTRTSIAPNRCEMSFTEVQ-TLTSARTPVAAPTLTLSTPVNPVSSAEMLX----XXXXXXXXXXXASRSGDNDSPLLFNAYDTPQQ--GINXXXXXXXXXXXXXNAHLYAXXXXXXXXXXXXXXXXRSHRH",
  "midline":  "MSMLRRPLTQLEL                       K             QSEP  GI++RNLRSADR+ +DVPG ++GE  +           FT+   +++SARTPV+  ++ LSTPVNP SS EM+                 SR  + D PL+FNAYDTPQQ  G +             NAHLY+                RS RH", 
  "hseq":     "MSMLRRPLTQLELCEDDIQWLSEQLAKKETGFEDEVKYEVMDVDEDEPMDQSEPTGGISKRNLRSADRRKKDVPG-TSGEGAQ-----------FTDQGLSISSARTPVSGASVNLSTPVNPSSSNEMMALPPPVRLARAGRRQRDSRVVNGDVPLMFNAYDTPQQPAGGSNGSPTPSDSPESPNAHLYSTPINPTSSSGGPSSNTRSQRH",
};

Likewise, using the RDF template

  blastxmlparser --template template/blast2rdf.erb --filter 'hsp.evalue<0.01 and hit.len>100' test/data/nt_example_blastn.m7

:Minc_Contig50_77_42056___42484_1_64492  :query  :Minc_Contig50_77_42056___42484_1_64492_23
:Minc_Contig50_77_42056___42484_1_64492_23
  :query_id    "lcl|30_0",
  :query_def   "Minc_Contig50_77 [42056 - 42484] 1 64492",
  :num         23,
  :accession   "Minc02032",
  :id          "lcl|Minc02032",
  :len         147,
  :identity    60,
  :align_len   69,
  :bitscore    69.8753,
  :qseq        "ATGGGAGATGGAATTGAACCGTCATGGAAAGGGCCCAAACCGAAGCACAACCGACTGTGCCACCATCCA",
  :midline     "|||||||||||||||||||| |||||||| |       |||||||||||||||||||||||||||||||", 
  :hseq        "ATGGGAGATGGAATTGAACCATCATGGAATG-------ACCGAAGCACAACCGACTGTGCCACCATCCA",
  :evalue      8.1089e-12 .

Additional options

To use the high-mem version of the parser (slightly faster on single core) use

  blastxmlparser --parser nosplit --threads 1 -n 'hsp.evalue,hsp.qseq' --filter 'hsp.evalue<0.01 and hit.len>100' test/data/nt_example_blastn.m7

API (Ruby library)

To loop through a BLAST result:

    >> require 'bio-blastxmlparser'
    >> fn = 'test/data/nt_example_blastn.m7'
    >>   n = Bio::BlastXMLParser::XmlIterator.new(fn).to_enum
    >>   n.each do | iter |
    >>     puts "Hits for " + iter.query_id
    >>     iter.each do | hit |
    >>       hit.each do | hsp |
    >>         print hit.hit_id, "\t", hsp.evalue, "\n" if hsp.evalue < 0.001
    >>       end
    >>     end
    >>   end

The next example parses XML using less memory by using a Ruby Iterator

    >> blast = Bio::BlastXMLParser::XmlSplitterIterator.new(fn).to_enum
    >> iter = blast.next
    >> iter.iter_num
    => 1
    >> iter.query_id
    => "lcl|1_0"

Get the first hit

    >> hit = iter.hits.first
    >> hit.hit_num
    => 1
    >> hit.hit_id
    => "lcl|I_74685"
    >> hit.hit_def
    => "[57809 - 57666] (REVERSE SENSE) "
    >> hit.accession
    => "I_74685"
    >> hit.len
    => 144

Get the parent info

    >> hit.parent.query_id
    => "lcl|1_0"

Get the first Hsp

    >> hsp = hit.hsps.first
    >> hsp.hsp_num
    => 1
    >> hsp.bit_score
    => 145.205
    >> hsp.score
    => 73
    >> hsp.evalue
    => 5.82208e-34
    >> hsp.query_from
    => 28
    >> hsp.query_to
    => 100
    >> hsp.query_frame
    => 1
    >> hsp.hit_frame
    => 1
    >> hsp.identity
    => 73
    >> hsp.positive
    => 73
    >> hsp.align_len
    => 73
    >> hsp.qseq
    => "AGTGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCTGCCTGCCAACCTATATGCTCCTGTGTTTAG"
    >> hsp.hseq
    => "AGTGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCTGCCTGCCAACCTATATGCTCCTGTGTTTAG"
    >> hsp.midline
    => "|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||"

Unlike BioRuby, this module uses the actual element names in the XML definition, to avoid confusion (if anyone wants a translation, feel free to contribute an adaptor).

It is also possible to use the XML element names as Strings, rather than methods. E.g.

    >> hsp.field("Hsp_bit-score")
    => "145.205"
    >> hsp["Hsp_bit-score"]
    => "145.205"

Note that, when using the element names, the results are always String values.

Fetch the next result (Iteration)

    >> iter2 = blast.next
    >> iter2.iter_num
    >> 2 
    >> iter2.query_id
    => "lcl|2_0"

etc. etc.

For more examples see the files in ./spec

URL

The project lives at http://github.com/pjotrp/blastxmlparser. If you use this software, please cite http://dx.doi.org/10.1093/bioinformatics/btq475

blastxmlparser is listed at http://biogems.info