LEADER 01104nam a2200253 i 4500 001 991000967809707536 005 20020507180755.0 008 970327s1991 ||| ||| | ita 035 $ab10782564-39ule_inst 035 $aLE01305028$9ExL 040 $aDip.to Matematica$beng 082 0 $a516.36 084 $aAMS 55N 100 1 $aRossetti, Claudio$0535626 245 12$aI gruppi di omologia di un complesso simpliciale e la caratteristica di Eulero-Poincaré. Tesi di laurea /$claureando Claudio Rossetti ; relat. D. Perrone 260 $aLecce :$bUniversità degli studi. Facoltà di Scienze. Corso di laurea in Matematica,$ca.a. 1991-92 650 4$aHomology theory 700 1 $aPerrone, Domenico 907 $a.b10782564$b02-04-14$c28-06-02 912 $a991000967809707536 945 $aLE013 TES 1991/92 ROS1$g1$iLE013N-2540$lle013$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10882339$z28-06-02 996 $aGruppi di omologia di un complesso simpliciale e la caratteristica di Eulero-Poincaré. Tesi di laurea$9921993 997 $aUNISALENTO 998 $ale013$b01-01-97$cm$da $e-$feng$gxx $h2$i1 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