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📄 meme.lipocalin.oops

📁 EM算法的改进
💻 OOPS
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********************************************************************************MEME - Motif discovery tool********************************************************************************MEME version 3.5.3 (Release date: 2006-03-08 09:30:25 +1000 (Wed, 08 Mar 2006))For further information on how to interpret these results or to geta copy of the MEME software please access http://meme.nbcr.net.This file may be used as input to the MAST algorithm for searchingsequence databases for matches to groups of motifs.  MAST is availablefor interactive use and downloading at http://meme.nbcr.net.****************************************************************************************************************************************************************REFERENCE********************************************************************************If you use this program in your research, please cite:Timothy L. Bailey and Charles Elkan,"Fitting a mixture model by expectation maximization to discovermotifs in biopolymers", Proceedings of the Second InternationalConference on Intelligent Systems for Molecular Biology, pp. 28-36,AAAI Press, Menlo Park, California, 1994.****************************************************************************************************************************************************************TRAINING SET********************************************************************************DATAFILE= /home/tbailey/tests/lipocalin.sALPHABET= ACDEFGHIKLMNPQRSTVWYSequence name            Weight Length  Sequence name            Weight Length  -------------            ------ ------  -------------            ------ ------  ICYA_MANSE               1.0000    189  LACB_BOVIN               1.0000    178  BBP_PIEBR                1.0000    173  RETB_BOVIN               1.0000    183  MUP2_MOUSE               1.0000    180  ****************************************************************************************************************************************************************COMMAND LINE SUMMARY********************************************************************************This information can also be useful in the event you wish to report aproblem with the MEME software.command: meme /home/tbailey/tests/lipocalin.s -mod oops -protein -nostatus -nmotifs 2 model:  mod=          oops    nmotifs=         2    evt=           infobject function=  E-value of product of p-valueswidth:  minw=            8    maxw=           50    minic=        0.00width:  wg=             11    ws=              1    endgaps=       yesnsites: minsites=        5    maxsites=        5    wnsites=       0.8theta:  prob=            1    spmap=         pam    spfuzz=        120em:     prior=        dmix    b=               0    maxiter=        50        distance=    1e-05data:   n=             903    N=               5sample: seed=            0    seqfrac=         1Dirichlet mixture priors file: prior30.plibLetter frequencies in dataset:A 0.072 C 0.029 D 0.069 E 0.078 F 0.043 G 0.058 H 0.025 I 0.048 K 0.086 L 0.087 M 0.018 N 0.053 P 0.032 Q 0.029 R 0.031 S 0.059 T 0.048 V 0.070 W 0.017 Y 0.050 Background letter frequencies (from dataset with add-one prior applied):A 0.072 C 0.029 D 0.068 E 0.077 F 0.043 G 0.057 H 0.026 I 0.048 K 0.086 L 0.087 M 0.018 N 0.053 P 0.033 Q 0.029 R 0.031 S 0.059 T 0.048 V 0.069 W 0.017 Y 0.050 ****************************************************************************************************************************************************************MOTIF  1	width =   19   sites =   5   llr = 187   E-value = 8.9e-006********************************************************************************--------------------------------------------------------------------------------	Motif 1 Description--------------------------------------------------------------------------------Simplified        A  :::::::22:6:2::2:8:pos.-specific     C  :::::::::::::::::::probability       D  ::22:8:::::::::::::matrix            E  ::2::::2::::2::4:::                  F  ::::8::::4:::::::::                  G  :2:2:::::::a:::::::                  H  ::::::::::2:::4::::                  I  ::::::2::2::::::42:                  K  :22:::2:4:::2:::::6                  L  ::::2:2:::::::::2:2                  M  :2::::::::::::::2:2                  N  ::26:2::2:2::::::::                  P  4::::::::::::::::::                  Q  :::::::2:::::::::::                  R  ::2:::::2::::::::::                  S  :::::::4:::::::2:::                  T  4:::::::::::4::2:::                  V  24::::2::2::::::2::                  W  ::::::2::::::a2::::                  Y  :::::::::2::::4::::         bits    5.9              *                      5.3              *                      4.7              *                      4.1            * *     Information      3.5     **     * **    content          2.9 *  ***    ** **  * (53.9 bits)      2.3 ** *** ***** ** ***                 1.8 *******************                 1.2 *******************                 0.6 *******************                 0.0 -------------------Multilevel           PVDNFDISKFAGTWHEIAKconsensus            TGEDLNKAAIH A YALILsequence             VKKG  LENVN E WSM M                      MN   VQRY  K  TV                         R   W            ----------------------------------------------------------------------------------------------------------------------------------------------------------------	Motif 1 sites sorted by position p-value--------------------------------------------------------------------------------Sequence name             Start   P-value                   Site      -------------             ----- ---------            -------------------ICYA_MANSE                   14  1.43e-18 FYPGYCPDVK PVNDFDLSAFAGAWHEIAK LPLENENQGKBBP_PIEBR                    13  9.75e-18 YHDGACPEVK PVDNFDWSNYHGKWWEVAK YPNSVEKYGKRETB_BOVIN                   11  1.99e-16 ERDCRVSSFR VKENFDKARFAGTWYAMAK KDPEGLFLQDLACB_BOVIN                   22  9.62e-15 CGAQALIVTQ TMKGLDIQKVAGTWYSLAM AASDISLLDAMUP2_MOUSE                   24  4.53e-14 VCVHAEEASS TGRNFNVEKINGEWHTIIL ASDKREKIED----------------------------------------------------------------------------------------------------------------------------------------------------------------	Motif 1 block diagrams--------------------------------------------------------------------------------SEQUENCE NAME            POSITION P-VALUE  MOTIF DIAGRAM-------------            ----------------  -------------ICYA_MANSE                        1.4e-18  13_[1]_157BBP_PIEBR                         9.7e-18  12_[1]_142RETB_BOVIN                          2e-16  10_[1]_154LACB_BOVIN                        9.6e-15  21_[1]_138MUP2_MOUSE                        4.5e-14  23_[1]_138----------------------------------------------------------------------------------------------------------------------------------------------------------------	Motif 1 in BLOCKS format--------------------------------------------------------------------------------BL   MOTIF 1 width=19 seqs=5ICYA_MANSE               (   14) PVNDFDLSAFAGAWHEIAK  1 BBP_PIEBR                (   13) PVDNFDWSNYHGKWWEVAK  1 RETB_BOVIN               (   11) VKENFDKARFAGTWYAMAK  1 LACB_BOVIN               (   22) TMKGLDIQKVAGTWYSLAM  1 MUP2_MOUSE               (   24) TGRNFNVEKINGEWHTIIL  1 //----------------------------------------------------------------------------------------------------------------------------------------------------------------	Motif 1 position-specific scoring matrix--------------------------------------------------------------------------------log-odds matrix: alength= 20 w= 19 n= 813 bayes= 7.33628 E= 8.9e-006    -93   -241   -296   -256   -247   -224   -228   -113   -258   -190   -106   -229    361   -141   -151    -73    242     71   -330   -325    -63   -187   -232   -163   -140     75   -134     22     37    -77    241   -166   -172    -51    -40   -100    -53    221   -226   -208    -71   -310    103    103   -254   -142    -60   -205     81   -207    -94    124   -126     52    201    -34    -50   -195   -285   -234   -242   -375     92   -196   -382     91    -98   -352   -243   -408   -311    349   -242   -122   -182    -80   -157   -389   -397   -351   -318   -290   -467   -456    425   -423   -363   -172   -484    -47   -115   -430   -331   -373   -362   -296   -352   -245   -202   -103   -301   -418    363   -117   -408   -310   -244   -367   -403   -415   -323    -21   -370   -260   -284   -260   -313   -381   -414   -410   -107   -180   -350   -287   -106   -249   -200    251     -5     95     46   -249   -221   -152   -148   -153    -77    137    217   -191     96   -298    -78    114   -258   -152    -75   -202    -65   -209    -96    -73   -125    216      7    200    -40   -190   -293   -244     64   -339   -187   -114   -314   -206    -99   -238    222   -242   -133    101   -185     18    221   -102   -106   -240   -310   -282   -180   -226   -378   -340    342   -310   -122     98   -351    -88    -39   -305   -258   -227   -212   -200   -176     43   -146    170    273   -215   -127   -140   -272   -123    196   -223   -154   -247   -141    118   -194    -56    -71    -37    -96   -174   -321   -276   -198   -392   -300   -366   -445    397   -328   -418   -373   -473   -335   -252   -325   -311   -239   -220   -319   -402   -398   -452     89   -295    -91    104   -246   -153    -67   -184     77   -196    -82    -70   -123     52     29    -26    223   -176   -280   -234   -388   -388   -438   -441   -134   -384   -353   -366   -445   -246   -240   -397   -380   -303   -275   -375   -362   -359    569   -207   -290   -318   -383   -376     74   -360    354   -251   -386   -230   -173   -259   -307   -176   -201   -252   -277   -283    285    292    106   -271    -97    173   -260   -150    -93   -197    -87   -214   -101    -85   -134     26    -13    137    156   -183   -299   -255   -245   -306   -430   -410   -197   -384   -360    356   -396     52    173   -359   -346   -288   -286   -287   -197    121   -336   -320    328   -140   -376   -329   -260   -140   -310     73   -352   -200   -114   -318   -308   -242   -222    -45   -138    -73   -332   -364   -191   -312   -315   -227   -234   -288   -184   -127    276     37    218   -223   -256    -77     45   -195   -163   -176   -307   -303 ----------------------------------------------------------------------------------------------------------------------------------------------------------------	Motif 1 position-specific probability matrix--------------------------------------------------------------------------------letter-probability matrix: alength= 20 w= 19 nsites= 5 E= 8.9e-006  0.000000  0.000000  0.000000  0.000000  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0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.200000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.200000  0.000000  0.200000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.400000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.400000  0.000000  0.000000  0.200000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.400000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.200000  0.600000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  1.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.200000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.400000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  1.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.400000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.200000  0.400000 

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