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Annogene: Restful Web Service for Annotating Genomic Features

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Modern high-throughput sequencing techniques generate a constantly increasing amount of genomic data from eukaryotes. The main problem is quickly identifying the data that may provide information about the nature of intracellular processes, such as the targeting of transcription factor-binding sites. Typically, thousands of peaks or signals are found across the genome and the nearby genes must be annotated. We introduce AnnoGene - a web service for annotating genomic features. AnnoGene was implemented in a representational state transfer (REST) architectural style. The program searches for the gene nearest to the center of a genomic position. Subsequently, the location and annotationsof the gene are shown. The tool can be downloaded and run on a local computer, but it was designed to be a web service. AnnoGene is freely available through a web browser. Moreover, our paper covers examples of the REST clients written in the Python, R and Java programming languages. AnnoGene only requires genomic positions from the user. Even when annotating several thousand positions, the output is typically ready in a few seconds. Moreover, this tool supports Seqinspector – a web tool for finding regulators of the genes.
Słowa kluczowe
Rocznik
Strony
101--110
Opis fizyczny
Bibliogr. 21 poz., tab.
Twórcy
autor
  • Institute of Mathematics, Jagiellonian University, Kraków, Poland
  • Department of Molecular Neuropharmacology, Institute of Pharmacology of the Polish Academy of Sciences, Kraków, Poland
autor
  • Department of Molecular Neuropharmacology, Institute of Pharmacology of the Polish Academy of Sciences, Kraków, Poland
  • Department of Molecular Neuropharmacology, Institute of Pharmacology of the Polish Academy of Sciences, Kraków, Poland
Bibliografia
  • 1. Park P.J.,2009,ChIP-seq: advantages andchallengesofamaturing technology,NatRevGenet10, pp. 669-680.
  • 2. WangZ., GersteinM.,SnyderM., 2009, RNA-Seq:arevolutionary toolfortranscriptomics,NatRevGenet10, pp. 57-80.
  • 3. Bult C.J., BlakeJ.,KadinJ.,EppigG.,RingwaldM.,Richardson J.etal., 2007,P4-SThe MouseGenomeInformaticsDatabase: AnIntegratedResourcefor MouseGenetics andGenomics,JBiomolTech.
  • 4. GrayK.A.,Daugherty L.C.,GordonS.M.,SealR.L.,WrightM.W.,BrufordE.A., 2013,ChIP-seq: advantages and challenges ofa maturing technology. Genenames.org: the HGNCresourcesin2013,NucleicAcidsRes41.
  • 5. Hubbard T.,BarkerD.,BirneyE.,CameronG.,ChenY.,ClarkL.etal., 2002,TheEnsembl genomedatabase project,NucleicAcidsRes30(1), pp. 38-41.
  • 6. KentW.J., ZweigA.S.,Barber G.,HinrichsA.S.,Karolchik D., 2010,BigWigand BigBed:enabling browsingoflargedistributeddatasets,Bioinformatics 26(17), pp. 2204-2207.
  • 7. Fielding R.,Taylor R.N., 2002,Principled Design ofModern Web Architecture, ACM TransactionsonInternetTechnology, NewYork: AssociationforComputing Machinery 2(2), pp. 115-150.
  • 8. web.pyv0.37,Availableat: http://webpy.org.,Accessed in2013 and 2014.
  • 9. Python HOWTOFetchInternet Resources Using urllib2, Available at:http://www.w3.org/Submission/wadl.,Accessedin 2013.
  • 10. Package’RCurl’(v1.95-4.1),Generalnetwork(HTTP/FTP/...)clientinterfacefor R.,Availableat: http://www.omegahat.org/RCurl,Accessed in2013 and 2014.
  • 11.Web Application Description Language (WADL) W3C Member Submission 31 August 2009,Availableat: http://www.w3.org/Submission/wadl., Accessed in 2013.
  • 12.Garber M.,YosefM.,GorenA.,Costa A.M.,Raychowdhury R.,WuJ.etal., 2012,Ahigh- throughputchromatinimmunoprecipitationapproach revealsprinciplesofdynamic generegulationinmammals,MolCellSep 10, pp. 669-80.
  • 13.Barnes P.J., KarinM., 2009,Nuclear factor-BA pivotal transcriptionfactor inchronic inflammatorydiseases 10, pp. 669-680.
  • 14.Huang D.W., Sherman B.T., Lempicki R.A., 2009, Systematic and integrativeanalysis oflarge genelists using DAVID Bioinformatic Resources, Nature Protoc Genet 4(1), pp. 44-57.
  • 15.Huang D.W.,Sherman B.T., LempickiR.A., 2009,Bioinformaticsenrichmenttools:paths towardthecomprehensivefunctionalanalysisof largegenelists.NucleicAcidsRes Genet37(1), pp. 1-13.
  • 16.NielsenF.G., Kooyman M., Kensche P., Hendrik M., Stunnenberg H., Huynen M., 2013, ThePinkThing foranalysingChIP profilingdata intheir genomiccontext.,BMC ResearchNotes 6, pp. 133.
  • 17.KrebsA.,Frontini M.,Tora L., 2008,GPAT: Retrieval ofgenomicannotationfromlarge genomicpositiondatasets,BMCBioinformatics 9, pp. 533.
  • 18.YangJ.H.,LiJ.H.,JiangS.,ZhouH.,QuL.H., 2013,ChIPBase: Adatabase fordecoding thetranscriptionalregulation of longnon-codingRNAandmicroRNAgenesfrom ChIP-Seqdata,NucleicAcidsRes 41, pp. 177-187.
  • 19.McLean C.Y., Bristor D.,HillerM., Clarke S., Schaar B.T., Lowe, C.B.et al., 2010,GREATimprovesfunctionalinterpreationofcisregulatoryregions,NatBiotechnol 28(5), pp. 495-501.
  • 20.KnightR.,MaxwellP.,Birmingham A.,Carnes J.,Caporaso J.G., Easton B.C.,etal., 2007, PyCogent:atoolkitformakingsense fromthesequence.GenomeBiol 10, pp. 669-680.
  • 21.YangS.Z,Abdulkadir SA., 2010,Earlygrowthresponsegene1modulatesandrogenreceptorsignalinginprostate carcinomacells.JBiolChem 10(39), pp. 906-911.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4bda62b5-a5ad-46d2-9139-99ad056f0f6a
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