极速11选5

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我院蛋白质组学和代谢组学研究室程惊秋教授、杨浩副研究员团队在Nucleic Acids Research发表研究论文 2020.06.24

极速11选5 JINRI,WOYUANDANBAIZHIZUXUEHEDAIXIEZUXUEYANJIUSHICHENGJINGQIUJIAOSHOU、YANGHAOFUYANJIUYUANTUANDUIHEYELUDAXUEYIXUEYUANLIUYANSHENGJIAOSHOUTUANDUIZAIGUOJIZHUMINGQIKAN《Nucleic Acids Research》(IF: 11.147) ZAIXIANFABIAOLETIWEI“NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses”DEYANJIULUNWEN。GAIYANJIUKAIFALEYIKUANZHENDUIDANBAIZHIZUXUESHUJUQUESHIZHITIANCHONG(missing value imputation)DEXITONGXINGPINGJIAGONGJU。

极速11选5 ZAIJIYUYEXIANGSEPU-CHUANLIANZHIPUJISHU(JIANCHENGLC-MSMS)DEDANBAIZHIZUXUEYANJIUZHONG,YOUQISHIZAIYANJIUDADUILIEDELINCHUANGYANGBENZHONG,ZHONGXIANXING(reproducibility)SHIYIGEHEXINWENTI。ZHEILIDEZHONGXIANXINGTONGCHANGBAOKUODANBAIZHIDINGXINGDEZHONGXIANXINGHEDINGLIANGDEZHONGXIANXING,JIYAOHUIDA“ZAIDUOGEYANGBENZHONG,DANBAIZHINENGBUNENGWENDINGBEIJIANDINGDAO,YIJIJIANDINGDAODEDANBAIZHINENGBUNENGBEIWENDINGDIDINGLIANG”ZHEIGEWENTI。

SUIZHEZHIPUYIYIJIXIANGGUANSHUJUCAIJIFANGSHIDEFAZHAN,LIYONGSHUJUFEIYILAIXING(Data Independent Acquisition,JIANCHENGDIA)CAIJIMOSHIHUODEYUANSHISHUJUDEJISHUDEDAOLEGUANGFANYINGYONG。XIANGJIAOYUCHUANTONGDESHUJUYILAIXING(Data Dependent Acquisition,JIANCHENGDDA)CAIJIMOSHI,ZAIDIAMOSHIXIA,ZHIPUYIJIBENBUHUIDUISHUJUJINXINGPIANHAOXINGXUANZE,YINCIQIZHONGXIANXINGHUIYOUMINGXIANDEDETISHENG。DANSHISUIZHEDIAJISHUDEZHUBUYINGYONG,YANJIUTUANDUIZHUYIDAOJISHIZAIDIAMOSHIXIA,DALIANGYANJIUDESHUJUZHONGXIANXINGBINGBUNENGDADAOLINGRENMANYIDEXIAOGUO。YOUQISHIZAIYANJIUDANBAIZHIFANYIHOUXIUSHI(Post Translational Modification)DESHUJUSHI,RUBENYANJIUZHONGCAIJIDEDANBAIZHILINSUANHUASHUJU(Phosphoproteomic dataset),QIZHONGYOUCHAOGUO75%DELINSUANHUATAIDUANDOUWUFATONGSHIZAISUOYOUYANGBENZHONGHUODEWANZHENGDEDINGLIANGXINXI,JIZAIMOUYIXIEYANGBENZHONGDINGLIANGSHUJUCHUXIANLEQUESHI(missing value)DEQINGKUANG。DUIYUTAIDUANHUODANBAIFASHENGBUFENQUESHIDESHUJU,TONGCHANGXUYAOJINXINGQUESHIZHIDETIANCHONGHOUCAINENGJINXINGCHAYIBIAODADENGTONGJIFENXI。MUQIANTIANCHONGQUESHIZHIDEFANGFAJIAODUO,DANRUHEXUANZEWANGWANGQUJUEYUYANJIUZHEDEGERENJINGYANHEPIANHAO,QUEFAWEIKEXUEDEPINGPANYIJU,CILEIWENTIJIXUDEDAOJIEJUE。

ZAIBENXIANGGONGZUOZHONG,YANJIURENYUANKAIFACHULEYIKUANNENGXITONGXINGPINGJIAQUESHIZHITIANCHONGFANGFADEGONGJU,QUMINGWEINAguideR,YIQIUNENGFUZHUYONGHUXUANZECHUSHIHEQISHUJUTEZHENGDEQUESHIZHITIANCHONGFANGFA。GAIGONGJUZHENGHELEYIJINGFABIAODE23ZHONGCHANGYONGDEQUESHIZHITIANCHONGFANGFA,ZUOZHEZHENDUIZHEIXIEFANGFAXITONGXINGDITICHU2TAOPINGJIAZHIBIAO:JINGDIANXING(classic criteria)HEJIYUDANBAIZHIZUXINXIXING(proteomic criteria)。MEIYITAOZHIBIAOYOUXIFENWEI4GEZIZHIBIAO,ZAIMEIYIGEZHIBIAOXIA,DOUHUIDUIYONGHUZAIGONGJUZHONGNIXUANZEDE23ZHONGFANGFAZHONGDERENYIFANGFAJINXINGDAFEN。ZUIHOUGAIGONGJUHUIJICHUZONGHEXINGPINGJIADEFENSHUHEDUIYINGDEJIEGUOBIAOGE,YONGHUGENJUCIJIEGUO,JIKEDUIQUESHIZHIDETIANCHONGFANGFAJINXINGHELIHEKEXUEDIXUANZE。GAIGONGJUKEZAIXIANHUOXIAZAISHIYONG,CAOZUOJIAOWEIJIANDAN,BUXUYAOZHUANYEDESHENGWUXINXIXUEHEBIANCHENGJINGYAN,NENGGOUBANGZHUYANJIUZHECHULIDAGUIMODEXIANGGUANDANBAIZHIZUXUESHUJU,TISHENGSHUJUZHILIANGHESHENDU。TONGSHI,GAIGONGJUYESHIYONGYUJIYINHEDAIXIEZUXUESHUJUTIANCHONGFANGFADEPINGJIAHEXUANZE。

图注:NAguideR数据分析流程图。(A)带有缺失值的定性和定量表格数据,其中行是每一个Feature(如蛋白质、肽段、代谢物或者基因等),列是样本。(B)数据质量控制,这里主要通过统计缺失值的占比和计算变异系数来控制参与后续分析的数据质量,如果某个Feature缺失的比例比较高或者变异系数比较大,那么其就会在这一步被删除掉,不会参与后续的分析。(C)23种缺失值填充的方法。(D)2套评价的指标。(E)根据每一个指标得分,辅助指导用户选择相应的缺失值填充的方法。

极速11选5 SICHUANDAXUEHUAXIYIYUANWEIGAIGONGZUODEDIYIWANCHENGDANWEI,HUAXI-HUASHENGDUNXIANLITIYUDAIXIEYANJIUZHONGXINDANBAIZHIZUXUEHEDAIXIEZUXUEJISHUPINGTAISHIYANSHI、CHENGJINGQIUJIAOSHOUZAISHENGYIXUEYANJIUZHONGXINBOSHIYANJIUSHENGWANGSHISHENGWEILUNWENDIYIZUOZHE,SICHUANDAXUEHUAXIYIYUANGUOJIAWEIJIANWEIYIZHIGONGCHENGYUYIZHIMIANYIZHONGDIANSHIYANSHIYANGHAOFUYANJIUYUANHEYELUDAXUEYIXUEYUANAIZHENGSHENGWUXUEYANJIUSUOLIUYANSHENGJIAOSHOUWEILUNWENGONGTONGTONGXUNZUOZHE。GAIYANJIUDEDAOLEGUOJIAZIRANKEXUEJIJIN(81871475)、SICHUANDAXUEHUAXIYIYUAN1.3.5ZHUOYUEXIANGMU(ZYGD18014)DENGJIJINDEZIZHU。


原文链接:

作者:王诗盛 杨浩 科研一支部 编辑:史杰蔚 周亮 来源:科研一支部
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