简介：Theaimofthisstudyistodesignabiologicalinformationretrievalandanalysissystem(BIRAS)basedontheInternet.Usingthespecificnetworkprotocol,BIRASsystemcouldsendandreceiveinformationfromtheEntrezsearchandretrievalsystemmaintainedbyNationalCenterforBiotechnologyInformation(NCBI)inUSA.Theliteratures,nucleotidesequence,proteinsequences,andotherresourcesaccordingtotheuser-definedtermcouldthenberetrievedandsenttotheuserbypopupmessageorbyE-mailinformingautomaticallyusingBIRASsystem.Alltheinformationretrievingandanalyzingprocessesaredoneinreal-time.Asarobustsystemforintelligentlyanddynamicallyretrievingandanalyzingontheuser-definedinformation,itisbelievedthatBIRASwouldbeextensivelyusedtoretrievespecificinformationfromlargeamountofbiologicaldatabasesinnowdays.Theprogramisavailableonrequestfromthecorrespondingauthor.

简介：Accurateidentificationofprotein-codingregions(exons)inDNAsequenceshasbeenachallengingtaskinbioinformatics.Particularlythecodingregionshavea3-baseperiodicity,whichformsthebasisofallexonidentificationmethods.Manysignalprocessingtoolsandtechniqueshavebeenappliedsuccessfullyfortheidentificationtaskbutstillimprovementinthisdirectionisneeded.Inthispaper,wehaveintroducedanewpromisingmodel-independenttime-frequencyfilteringtechniquebasedonS-transformforaccurateidentificationofthecodingregions.TheS-transformisapowerfullineartime-frequencyrepresentationusefulforfilteringintime-frequencydomain.Thepotentialoftheproposedtechniquehasbeenassessedthroughsimulationstudyandtheresultsobtainedhavebeencomparedwiththeexistingmethodsusingstandarddatasets.Thecomparativestudydemonstratesthattheproposedmethodoutperformsitscounterpartsinidentifyingthecodingregions.