LEADER 02760nam 2200589Ia 450 001 9910437610303321 005 20200520144314.0 010 $a1-4614-4705-4 024 7 $a10.1007/978-1-4614-4705-4 035 $a(CKB)2670000000232471 035 $a(EBL)994125 035 $a(OCoLC)805397222 035 $a(SSID)ssj0000741030 035 $a(PQKBManifestationID)11420588 035 $a(PQKBTitleCode)TC0000741030 035 $a(PQKBWorkID)10720204 035 $a(PQKB)10482036 035 $a(DE-He213)978-1-4614-4705-4 035 $a(MiAaPQ)EBC994125 035 $a(PPN)168300974 035 $a(EXLCZ)992670000000232471 100 $a20120831h20122013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGenome-wide prediction and analysis of protein-protein functional linkages in bacteria /$fVijaykumar Yogesh Muley, Vishal Acharya 205 $a1st ed. 2013. 210 $aNew York, NY $cSpringer$d2012, c2013 215 $a1 online resource (65 p.) 225 0$aSpringerBriefs in systems biology,$x2193-4746 300 $aDescription based upon print version of record. 311 $a1-4614-4704-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- From genomes to protein functions -- Co-evolutionary signals within genome sequences reflect functional dependence of proteins -- Chromosomal proximity of genes as an indicator of functional linkage -- Analyses of complex genome-scale biological networks -- Applications of protein interaction networks. 330 $aUsing genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function. 410 0$aSpringerBriefs in Systems Biology,$x2193-4746 ;$v2 606 $aFunctional genomics 606 $aProtein-protein interactions 615 0$aFunctional genomics. 615 0$aProtein-protein interactions. 676 $a572.86 700 $aMuley$b Vijaykumar Yogesh$01060479 701 $aAcharya$b Vishal$01761249 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437610303321 996 $aGenome-wide prediction and analysis of protein-protein functional linkages in bacteria$94200576 997 $aUNINA LEADER 01449oam 2200397z- 450 001 9910135235103321 005 20241212220942.0 010 $a9781479923236 010 $a1479923230 035 $a(CKB)3780000000082237 035 $a(EXLCZ)993780000000082237 100 $a20220628c2014uuuu -u- - 101 0 $aeng 200 10$a2014 IEEE 13th International Workshop on Advanced Motion Control (AMC 2014) $eYokohama, Japan, 14-16 March 2014 210 $cIEEE 311 08$a9781479957637 311 08$a1479957631 517 $a2014 IEEE 13th International Workshop on Advanced Motion Control (AMC) 517 $a2014 IEEE 13th International Workshop on Advanced Motion Control 517 $aAdvanced Motion Control 606 $aIntelligent control systems$vCongresses 606 $aMotion control devices$vCongresses 606 $aElectric controllers$vCongresses 606 $aElectric motors$xAutomatic control$vCongresses 606 $aRobots$xControl systems$vCongresses 606 $aServomechanisms$vCongresses 615 0$aIntelligent control systems 615 0$aMotion control devices 615 0$aElectric controllers 615 0$aElectric motors$xAutomatic control 615 0$aRobots$xControl systems 615 0$aServomechanisms 906 $aPROCEEDING 912 $a9910135235103321 996 $a2014 IEEE 13th International Workshop on Advanced Motion Control (AMC 2014)$92884603 997 $aUNINA