The Ruby UCSC API @ISMB2012
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The Ruby UCSC API is a library that provides access to the UCSC Genome Database using the Ruby programming language. It is designed as a BioRuby plug-in and uses the ActiveRecord framework to query genomic data without writing SQL statements. The API supports over 40,000 tables across many organisms and facilitates programmatic querying of genomic data for biologists using Ruby.
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The Ruby UCSC API @ISMB2012
- 1. The Ruby UCSC API: accessing the UCSC Genome Database using Ruby Hiroyuki Mishima(1, Jan Aerts(2, Toshiaki Katayama(3, Raoul J.P. Bonnal(4, Koh-ichiro Yoshiura(1 1)Nagasaki University, Japan; 2)Leuven University, Belgium; 3)DBCLS, ROIS, Japan; 4)Instituto Nazionale Genetica Molecolare, Italy 20th Annual International Conference on Integrate Systems for Molecular Biology 2012 July 15-17, @Long Beach, CA, USA
- 2. Background: The University of California, Santa Cruz (UCSC) genome database is among the most used sources of genomic annotation in human and other organisms. The database offers excellent web-based graphical user interface (the UCSC genome browser) and several means for programmatic queries. A simple application programming interface (API) in a scripting language aimed at the biologist was however not yet available. Here, we present the Ruby UCSC API, a library to access the UCSC genome database using Ruby. Results: The API is designed as a BioRuby plug-in (Biogem) and built on the ActiveRecord 3 framework for the object-relational mapping, making writing SQL statements unnecessary. The current version of the API supports databases of all organisms in the UCSC genome database including human, mammals, vertebrates, deuterostomes, insects, nematodes, and yeast. The API uses the bin index¡ªif available¡ªwhen querying for genomic intervals. The API also supports genomic sequence queries using locally downloaded *.2bit files that are not stored in the official MySQL database. The API is implemented in pure Ruby and is therefore available in different environments and with different Ruby interpreters (including JRuby). Conclusions: Assisted by the straightforward object-oriented design of Ruby and ActiveRecord, the Ruby UCSC API will facilitate biologists to query the UCSC genome database programmatically. The API is available through the RubyGem system. Source codes and documentations are available at https://github.com/misshie/bioruby-ucsc-api/ 2
- 3. The UCSC genome database ? UCSC genome database is among the most used sources of genomic annotation in human and other organisms. ? Excellent web-based graphical user interface (the UCSC genome browser) and several means for programmatic queries. ? A simple application programming interface (API) in a scripting language aimed at the biologist was however not yet available. ? Supporting a large number of tables (>40,000) is still challenging. 3
- 4. Ruby UCSC API ? A Ruby library to access the UCSC genome database. ? Designed as a Biogem - BioRuby plug-in ? Built on the ActiveRecord 3 framework for an object-relational mapping. ? Written in pure Ruby ¨C supporting MRI Ruby Design structure of 1.9/1.8 and JRuby the Ruby UCSC API 4
- 5. Dynamic Table Class Definition ? The UCSC database is optimized to serve the genome browser, resulting in a very large number of tables ? > 41,840 tables as MySQL *.MYD files ? Database components are updated frequently. ? Ruby UCSC API adopts dynamic class definition to handle many table classes. ? When a table class referred for the first time, the API prefetch fields of the table to detect a table type and define appropriate table class. Additionally, this lazy evaluation of class definition makes API initialization much faster. 5
- 6. Availability and Installation Installation via RubyGems $ gem install bio-ucsc-api GitHub https://github.com/misshie/bioruby-ucsc-api Support Forum http://rubyucscapi.userecho.com/ RubyGems.org https://rubygems.org/gems/bio-ucsc-api 6
- 7. Sample Codes and Features require 'bio-ucsc¡® Bio::Ucsc::Hg19.connect result = Bio::Ucsc::Hg19::Snp131. find_by_name("rs56289060") puts result.chrom # => "chr1" ? Supporting all organisms and at least newest assemblies ? Supporting UCSC¡¯s official MySQL server and local mirror MySQL servers ? ActiveRecord¡¯s object-relation mapping 7
- 8. region = "chr17:7,579,614-7,579,700" condition = Bio::Ucsc::Hg19::Snp131. with_interval(region).select(:name) puts condition.to_sql SELECT name FROM `snp131` WHERE (chrom = 'chr17' AND bin in (642,80,9,1,0) AND ( (chromStart BETWEEN 7579613 AND 7579700) OR (chromEnd BETWEEN 7579613 AND 7579700) OR (chromStart <= 7579613 AND chromEND >= 7579700) )); ? Generating complex SQL statements using relations ? The bin index is, if available, used to accelerate queries. 8
- 9. # declaration of the table association Ucsc::Hg19::KnownGene.class_eval do has_one :knownToEnsembl, {:primary_key => :name, :foreign_key => :name} end # reference to an associated field puts Ucsc::Hg19::KnownGene.first.name # => ¡°uc001aaa3¡± puts Ucsc::Hg19::KnownGene.first.knownToEnsembl.value # => "ENST00000456328" ? The user can define table associations. ? Associated tables can be accessed like fields of the table. 9
- 10. 1: # load a locally-stored sequence file, and extract partial seqence 2: seq = Ucsc::File::Twobit.open("hg19.2bit") 3: puts seq.subseq("chr1:9990-10009") # => "NNNNNNNNNNNTAACCCTAA" ? In the UCSC genome database, genomic sequences are not stored in the MySQL databases but in *.2bit files. ? Reference sequence objects are generated by the File::Twobit.open class methods, and sequences can be retrieved by the File::Twobit#subseq method. 10
- 11. Supported Databases clade/organism databases human Hg19, Hg18 mammals chimp (PanTro3), orangutan (PonAbe2), rhesus (RheMac2), marmoset (CalJac3), mouse (Mm9), rat (Rn4), guinea pig (CavPor3), rabbit (OryCun2), cat (FelCat4), panda (AilMel1), dog (CanFam2), horse (EquCab2), pig (SusScr2), sheep (OviAri1), cow (BosTau4), elephant (LoxAfr3), opossum (MonDom5), platypus (OrnAna1) vertebrates chicken (GalGal3), zebra finch (TaeGut1), lizard (AnoCar2), X. tropicalis (XenTro2), zebrafish (DanRer7), tetraodon (TetNig2), fugu (Fr2), stickleback (GasAcu1), medaka (OryLat2), lamprey (PetMar1) deuterostomes lancelet (BraFlo1), sea squirt (Ci2), sea urchin (StrPur2) insects D.melanogaster (Dm3), D.simulans (DroSim1), D.sechellia (DroSec1), D.yakuba (DroYak2), D.erecta (DroEre1), D.ananassae (DroAna2), D.pseudoobscura (Dp3), D.persimilis (DroPer1), D.virilis (DroVir2), D.mojavensis (DroMoj2), D.grimshawi (DroGri1), Anopheles mosquito (AnoGam1), honey bee (ApiMel2) nematodes C.elegans (Ce6), C.brenneri (CaePb3), C.briggsae (Cb3), C.remanei (CaeRem3), C.japonica (CaeJap1), P.pacificus (PriPac1) others sea hare (AplCal1), yeast (SacCer2) common databases Go, HgFixed, Proteome, UniProt, VisiGene 11
- 12. Current Limitations ? Table associations are not defined automatically. ? For some tables including subsets of the ENCODE tables, the actual data are not stored in the MySQL database itself but are stored as references to BigWig, BigBed and BAM files. To date, the Ruby UCSC API does not support them yet. Instead, a Biogem, ¡°bio-samtools¡±, suppots BAM file handlings. 12
- 13. Conclusions ? UCSC¡¯s official executables and C libraries are the most comprehensive and fastest API for the UCSC genome database. ? However, APIs for scripting languages still have significant advantages for the user because their concern is not only runtime speed but also total time from programming to results. ? The Ruby UCSC API can therefore have a significant impact in the field. 13