摘要
Inthepost-genomicera,identificationofspecificregulatorymotifsortranscrip-tionfactorbindingsites(TFBSs)innon-codingDNAsequences,whichisessentialtoelucidatetranscriptionalregulatorynetworks,hasemergedasanobstaclethatfrustratesmanyresearchers.Consequently,numerousmotifdiscoverytoolsandcorrelateddatabaseshavebeenappliedtosolvingthisproblem.However,theseexistingmethods,basedondifferentcomputationalalgorithms,showdiversemotifpredictionefficiencyinnon-codingDNAsequences.Therefore,understandingthesimilaritiesanddifferencesofcomputationalalgorithmsandenrichingthemotifdiscoveryliteraturesareimportantforuserstochoosethemostappropriateoneamongtheonlineavailabletools.Moreover,therestilllackscrediblecriteriontoassessmotifdiscoverytoolsandinstructionsforresearcherstochoosethebestaccordingtotheirownprojects.Thusintegrationoftherelatedresourcesmightbeagoodapproachtoimproveaccuracyoftheapplication.Recentstudiesintegrateregulatorymotifdiscoverytoolswithexperimentalmethodstoofferacomplemen-taryapproachforresearchers,andalsoprovideamuch-neededmodelforcurrentresearchesontranscriptionalregulatorynetworks.HerewepresentacomparativeanalysisofregulatorymotifdiscoverytoolsforTFBSs.
出版日期
2007年02月12日(中国Betway体育网页登陆平台首次上网日期,不代表论文的发表时间)