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PANTHER

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611:. You must enter a protein sequence in the first box and the substitutions relative to this protein sequence in the second box; this substitutions should be entered in the standard amino acid substitution format, e.g. L46P. PANTHER will use an alignment of evolutionarily related proteins, calculate the substitution position-specific evolutionary conservation (subPSEC) and estimate the 455:
probes. PANTHER version 7 uses the SBGN standard to depict biological pathways. It includes 48 set of genomes. To define the new families and in collaboration with the European Bioinformatics Institute’s InterPro group, approximately 1000 families of non-animal genomes were added in this version. The
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The reference proteome set maintained by the UniProt resource is used in this version of PANTHER and so the source of gene sets is UniProt. It includes 82 set of genomes (approximately double compared with version 7) and 991985 protein coding genes from which 642319 genes (64.75%) have been used for
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Each node in PANTHER tree is annotated with heritable attribute. Heritable attribute can be of three types subfamily membership, gene function and protein class membership. These annotation of nodes applies to primary sequence which was used to construct tree. In applying these annotation to primary
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Each node is annotated by gene attributes including “subfamily membership”, “protein class”, “gene function”. These attributes are heritable. Swiss-Prot protein names are usually used to name subfamilies. Since PANTHER is part of the GO reference genome project, the Gene Ontology (GO) terms are used
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Entering a search term in the keyword search box, PANTHER will give you the number of records matching your keyword for genes, families, pathways and ontology terms. You can filter them by determining the species of interest or by refining the search using other criteria. To view the details of the
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Let's try this workflow using an example of a small gene list containing three genes AKT1, AKT2, AKT3. We first type these gene names within the box and separate them by comma (or space). We select "ID list" as list type, "Homo Sapiens" (human) as organism, and " Functional classification viewed in
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PANTHER trees depicts gene family evolution from a broad selection of genomes which are fully sequenced. PANTHER have one sequence per gene so that the tree can represent event occurred over the course of evolution i.e duplication, speciation. PANTHER genomes set are selected based on the following
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Version 6 uses UniProt sequences as training sequences. There are 19132 UniProt training sequences directly associated with the pathway components. This version has ~1500 reactions in 130 pathways, and the number of pathways associated with subfamilies were expanded. PANTHER became a member of the
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Using this folder tab and by selecting the ontology you are interested in, you can browse different classification. It is also possible to select more than one ontology; in this case, the results will meet the criteria from all the selections. You are able to see the association between ontology
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By putting the protein sequence in the Sequence Search box, PANTHER will search against a library of family and subfamily HMMs, and return the subfamily that best matches the sequence. If you click on the subfamily name, it will give some details, e.g. the genes related to that subfamily and the
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of this nonsynonymous coding SNP to lead a functional effect on the protein. This tool uses data from PANTHER version 6.1 for technical reasons. One of the new features of PANTHER is that if you want to analyze a lot of SNPs, you can go to the download page and download the PANTHER Coding Snp
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This will give you the name of family and subfamily for your genes. There are some links, e.g. a link to the family tree, which is clickable. Finally you will have the genes from different species assigned to that subfamily. In this example you have the PANTHER subfamily "PTHR24352:SF30" for
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The project consists of both manual curation and bioinformatics algorithms. Proteins are classified according to family (and subfamily), molecular function, biological process and pathway. It is one of the databases feeding into the European Bioinformatics Institute's
350:, any column which is aligned less than 75% of the sequence is removed. This data is then used as an input for GIGA program. The output tree from GIGA are labelled. Each internal node is labelled as whether divergence event happened as speciation or gene duplication. 149:
database.—Application of PANTHER—The most important application of PANTHER is to accurately infer the function of uncharacterized genes from any organism based on their evolutionary relationships to genes with known functions. By combining gene function,
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It tells you where in the cell you can find your query protein. In our example, the information is not available but if you try another examples (such as the gene p53), you will see some cellular components such as "nucleus", "cytoplasm", "chromosomes",
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the orthologs are clickable and by clicking on them you can see the list of other organisms and their IDs as well as the type of orthologs ("LDO" for least diverged ortholog, "O" for other which are more diverged orthologs, and "P" for
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this gives you the names and IDs of PANTHER protein class for each of the genes; e.g. AKT1 is under PANTHER protein class "non-receptor serine/threonine protein kinase" with class ID "PC00167". You can also see its parent and child
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The home page of PANTHER website shows several folder tabs for major workflows, including: gene list analysis, browse, sequence search, cSNP scoring, and keyword search. The details about each of these workflow are provided below.
133:) classification system is a large curated biological database of gene/protein families and their functionally related subfamilies that can be used to classify and identify the function of gene products. PANTHER is part of the 573:
A list of clickable names of the pathways in which your query gene exists will be shown; e.g. AKT1 is involved in several pathways such as "Hypoxia response via HIF", "Apoptosis signaling pathway", "PI3 kinase pathway",
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This tab is selected by default because this the most frequently used option. You can enter valid IDs in the box or upload a file, then select list type, choose organism of interest and select the type of analysis.
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To generate phylogenetic trees, PANTHER uses GIGA algorithm. GIGA uses species tree to develop tree construction. On every iteration it attempts to reconcile tree in event form of speciation and gene duplication.
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and so when it is biologically justified, child categories appear under more than one parent. PANTHER/X has been mapped to GO and arranged in a different way to facilitate large scale analysis of proteins.
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This tell you what are the functions of your query gene; e.g. AKT1 has protein kinase activity and can selectively and non-covalently interact with calcium ions, calmodulin, and phospholipids.
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Gene. Since this version, a stable identifier to each node in the tree is used. This stable identifier is a nine-digit number with the prefix PTN (stand for PANTHER Tree Node). (2009)
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ability to view the subfamily within larger family tree. By downloading the PANTHER scoring tool from download page, you will be able to score many sequences against PANTHER HMMs.
154:, pathways and statistical analysis tools, PANTHER enables biologists to analyze large-scale, genome-wide data obtained from the current advance technology including: sequencing, 553:
By looking at this column, you will understand what biological processes the gene involved in; e.g. AKT1 has role in gamete generation, apoptosis, cell cycle, etc.
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The assessment of multiple aligned sequence is done by assessing a length of the aligned sequence, at least 30 sites aligned across 75% or more of family members.
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This version contains 7180 protein families, divided into 52,768 functionally distinct protein subfamilies. Version 9.0 has genomes of all 85 organisms.
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Index contains abbreviated ontology which assist in summarizing, navigating molecular function and biological function. Although PANTHER/X ontology has a
439:). The PANTHER/LIB version 6.1 contains 221609 UniProt sequences from 53 organisms, grouped into 5546 families and 24561 subfamilies. (2006) 648:"PANTHER: a browsable database of gene products organized by biological function, using curated protein family and subfamily classification" 412: 62: 646:
Thomas, PD.; Kejariwal, A.; Campbell, MJ.; Mi, H.; Diemer, K.; Guo, N.; Ladunga, I.; Ulitsky-Lazareva, B.; et al. (Jan 2003).
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Wu, C.H.; Apweiler, R.; Bairoch, A.; Natale, D.A.; Barker, W.C.; Boeckmann, B.; Ferro, S.; Gasteiger, E.; et al. (Jan 2006).
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Hunter, S.; Jones, P.; Mitchell, A.; Apweiler, R.; Attwood, TK.; Bateman, A.; Bernard, T.; Binns, D.; et al. (Jan 2012).
898:"PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements" 729:"PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees" 314:
range of other genomes, preferably fully sequenced and annotated, this will assist in relating experimental model organism.
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Create lists of genes related to a particular protein family/subfamily, molecular function, biological process or pathway.
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gene list" as the type of operation; then click submit. It gives you the information for all the three genes which are:
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PANTHER includes 176 pathway using CellDesigner tool. PANTHER pathways can be downloaded in the following file formats.
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Discover protein families and subfamilies, pathways, biological processes, molecular functions and cellular components.
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Flicek, P.; Amode, M.R.; Barrell, D.; Beal, K.; Brent, S.; Chen, Y.; Clapham, P.; Coates, G.; et al. (Jan 2011).
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The family must contain at least five members among which at least one gene has to be from a GO reference genome.
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In this version the phylogenetic trees represent speciation and gene duplication events. Identification of gene
1293:"PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium" 258: 17: 698: 359:
sequence simple evolutionary principle is used i.e. each node annotation is propagated by its decedent node.
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2005: PANTHER 5 released with PANTHER Pathway and analysis tool. Establish collaboration with InterPro.
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2001: PANTHER 2 released, which is used in the annotationon of the first published human genome Celera.
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Library consists of collection of books. Each of these books represents a protein family. There are a
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these are simply the names of the genes which have been mapped to your query (AKT1, AKT2 and AKT3)
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InterPro Consortium. The availability of PANTHER data was improved (the HMMs can be downloaded by
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for each of the protein families. The annotation of tree is done based on the following criteria:
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is possible. There are more support for alternative database identifiers for genes, proteins and
331: 311: 1322: 1273: 1221: 1172: 1123: 1074: 1025: 996:"Phylogenetic-based propagation of functional annotations within the Gene Ontology consortium" 976: 927: 859: 810: 758: 677: 307:, this will assist in depicting functional information of the organism which are less studied. 238: 80: 1312: 1304: 1263: 1255: 1239: 1211: 1203: 1162: 1154: 1113: 1105: 1064: 1056: 1015: 1007: 966: 958: 917: 909: 896:
Mi, H; Huang, X; Muruganujan, A; Tang, H; Mills, C; Kang, D; Thomas, PD (29 November 2016).
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experiments. Shortly, using the data and tools on the PANTHER, users will be able to:
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Mi, H.; Dong, Q.; Muruganujan, A.; Gaudet, P.; Lewis, S.; Thomas, P.D. (Jan 2010).
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family clusters. PANTHER website is redesigned to facilitate common user workflow.
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In order to support phylogenetic inference, the family must contain a high quality
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This is the name of species you have chosen; in this case we chose "Homo sapiens".
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2003: PANTHER 4 released with the public release of PANTHER Classification System.
781:"InterPro in 2011: new developments in the family and domain prediction database" 612: 452: 250: 155: 1340: 947:"Reorganizing the protein space at the Universal Protein Resource (UniProt)" 448: 1326: 1277: 1225: 1176: 1127: 1078: 1029: 980: 931: 863: 845: 830:"Large-scale gene function analysis with the PANTHER classification system" 814: 762: 681: 137:
Reference Genome Project designed to classify proteins and their genes for
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For each family multiple sequence are aligned using a default setting of
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Using this folder tab, you are able to do evolution analysis of coding
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This version contains 78442 subfamilies and 1,064,054 genes annotated.
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for gene function. PANTHER/X ontology terms are used for protein class.
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in terms of this example, you must see "ENSG00000142208" and "P31749".
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Following are the requirements for being family clusters in PANTHER:
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Gaudet, P.; Livstone, M.S.; Lewis, S.E.; Thomas, P.D. (Sep 2011).
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terms and PANTHER families, subfamilies and training sequences.
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Each internal node is annotated by evolutionary events such as “
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2002: PANTHER 3 released. PANTHER annotations are integrated in
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The process for data generation is divided into three steps:
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Recent versions of PANTHER and their statistics and updates
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The PANTHER database classifies gene products into families
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2000:PANTHER 1 released in Celera Discovery Systems (CDS).
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1998:Project was launched at Molecular Application Group.
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sources of gene sets included model organism databases,
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Obtain information about a particular gene of interest.
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Details in PANTHER 9 statistics can be found here (
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Gene IDs from Ensembl and protein IDs from Uniprot:
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protein analysis through evolutionary relationships
109: 104: 95: 90: 76: 68: 56: 51: 41: 33: 28: 1355:http://www.pantherdb.org/panther/summaryStats.jsp 828:Mi, H.; Muruganujan, A.; Thomas, PD. (Aug 2013). 727:Mi, H.; Muruganujan, A.; Thomas, PD. (Jan 2013). 1244:"Entrez Gene: gene-centered information at NCBI" 175:Analyze lists of genes, proteins or transcripts. 774: 772: 641: 639: 637: 625:gene, you must click on the gene identifier. 8: 531:Gene names, gene symbols, and the orthologs: 303:The set should include a major experimental 23: 693: 691: 1141:Mi, H.; Guo, N.; Thomas, P.D. (Jan 2007). 1045:"The Gene Ontology: enhancements for 2011" 22: 1316: 1267: 1215: 1166: 1117: 1068: 1019: 970: 921: 877: 875: 873: 853: 804: 752: 722: 720: 718: 716: 714: 712: 710: 708: 671: 699:"GO Reference Genome Annotation Project" 633: 270:PANTHER library data generation process 210:2006: PANTHER 6 released. Move to SRI. 1043:Gene Ontology Consortium (Jan 2012). 7: 945:The UniProt Consortium (Jan 2012). 413:Systems Biology Graphical Notation 14: 405:Systems Biology Markup Language ( 188:1999:Acquired by Celera Genomics. 63:University of Southern California 310:The set should include a broad 368:PANTHER/LIB (PANTHER library): 1: 1303:(Database issue): D204–D210. 1202:(Database issue): D800–D806. 1153:(Database issue): D247–D252. 1104:(Database issue): D187–D191. 538:PANTHER family and subfamily: 1254:(Database issue): D52–D57. 791:(Database issue): D306–12. 739:(Database issue): D377–86. 376:multiple sequence alignment 281:Pythologentic tree building 1389: 382:PANTHER/X (PANTEHR index): 342:Phylogenetic tree building 228:2016: PANTHER 11 released. 225:2015: PANTHER 10 released. 15: 222:2014: PANTHER 9 released. 219:2012: PANTHER 8 released. 213:2010: PANTHER 7 released. 354:Annotation of tree nodes 284:Annotation of tree nodes 259:horizontal gene transfer 18:Panther (disambiguation) 388:organization, it is a 902:Nucleic Acids Research 846:10.1038/nprot.2013.092 564:PANTHER protein class: 557:GO cellular component: 551:GO biological process: 545:GO molecular function: 460:genome annotation and 390:directed acyclic graph 237:In PANTHER there is a 1341:"reference proteome" 511:A practical example: 16:For other uses, see 1309:10.1093/nar/gkp1019 1260:10.1093/nar/gkq1237 1208:10.1093/nar/gkq1064 1061:10.1093/nar/gkr1028 914:10.1093/nar/gkw1138 745:10.1093/nar/gks1118 485:Version 11.1 (2016) 372:Hidden Markov Model 25: 1373:Genetics databases 1159:10.1093/nar/gkl869 1110:10.1093/nar/gkj161 1012:10.1093/bib/bbr042 963:10.1093/nar/gkr981 797:10.1093/nar/gkr948 664:10.1093/nar/gkg115 502:Gene list analysis 477:Version 9.0 (2014) 468:Version 8.0 (2012) 363:PANTHER components 332:sequence alignment 216:2011: Move to USC. 1297:Nucleic Acids Res 1248:Nucleic Acids Res 1196:Nucleic Acids Res 1147:Nucleic Acids Res 1098:Nucleic Acids Res 1055:(D1): D559–D564. 1049:Nucleic Acids Res 951:Nucleic Acids Res 908:(D1): D183–D189. 834:Nucleic Acids Res 785:Nucleic Acids Res 733:Nucleic Acids Res 652:Nucleic Acids Res 289:Family clustering 278:Family clustering 239:phylogenetic tree 233:Phylogenetic tree 119: 118: 1380: 1358: 1351: 1345: 1344: 1337: 1331: 1330: 1320: 1288: 1282: 1281: 1271: 1236: 1230: 1229: 1219: 1187: 1181: 1180: 1170: 1138: 1132: 1131: 1121: 1089: 1083: 1082: 1072: 1040: 1034: 1033: 1023: 991: 985: 984: 974: 942: 936: 935: 925: 893: 887: 886: 879: 868: 867: 857: 825: 819: 818: 808: 776: 767: 766: 756: 724: 703: 702: 695: 686: 685: 675: 643: 397:PANTHER pathways 255:gene duplication 77:Primary citation 26: 1388: 1387: 1383: 1382: 1381: 1379: 1378: 1377: 1363: 1362: 1361: 1352: 1348: 1339: 1338: 1334: 1290: 1289: 1285: 1238: 1237: 1233: 1189: 1188: 1184: 1140: 1139: 1135: 1091: 1090: 1086: 1042: 1041: 1037: 1000:Brief Bioinform 993: 992: 988: 957:(D1): D71–D75. 944: 943: 939: 895: 894: 890: 881: 880: 871: 827: 826: 822: 778: 777: 770: 726: 725: 706: 697: 696: 689: 645: 644: 635: 631: 622: 616:Analysis tool. 605: 596: 594:Sequence search 587: 504: 495: 493:PANTHER website 487: 479: 470: 445: 432: 427: 399: 365: 356: 344: 321: 319:Family clusters 296: 291: 272: 235: 201:. Moved to ABI. 182: 180:PANTHER history 160:gene expression 139:high-throughput 111: 58:Research center 43: 21: 12: 11: 5: 1386: 1384: 1376: 1375: 1365: 1364: 1360: 1359: 1346: 1332: 1283: 1231: 1182: 1133: 1084: 1035: 986: 937: 888: 869: 840:(8): 1551–66. 820: 768: 704: 687: 632: 630: 627: 621: 620:Keyword search 618: 604: 601: 595: 592: 586: 583: 582: 581: 575: 568: 561: 554: 548: 542: 535: 528: 522: 503: 500: 494: 491: 486: 483: 478: 475: 469: 466: 444: 441: 431: 428: 426: 423: 422: 421: 416: 410: 398: 395: 364: 361: 355: 352: 343: 340: 339: 338: 335: 328: 320: 317: 316: 315: 308: 305:model organism 295: 292: 290: 287: 286: 285: 282: 279: 271: 268: 263: 262: 247: 234: 231: 230: 229: 226: 223: 220: 217: 214: 211: 208: 205: 202: 195: 192: 189: 186: 181: 178: 177: 176: 173: 170: 167: 123:bioinformatics 117: 116: 113: 107: 106: 102: 101: 97: 93: 92: 88: 87: 78: 74: 73: 70: 66: 65: 60: 54: 53: 49: 48: 45: 39: 38: 35: 31: 30: 13: 10: 9: 6: 4: 3: 2: 1385: 1374: 1371: 1370: 1368: 1356: 1350: 1347: 1342: 1336: 1333: 1328: 1324: 1319: 1314: 1310: 1306: 1302: 1298: 1294: 1287: 1284: 1279: 1275: 1270: 1265: 1261: 1257: 1253: 1249: 1245: 1241: 1235: 1232: 1227: 1223: 1218: 1213: 1209: 1205: 1201: 1197: 1193: 1186: 1183: 1178: 1174: 1169: 1164: 1160: 1156: 1152: 1148: 1144: 1137: 1134: 1129: 1125: 1120: 1115: 1111: 1107: 1103: 1099: 1095: 1088: 1085: 1080: 1076: 1071: 1066: 1062: 1058: 1054: 1050: 1046: 1039: 1036: 1031: 1027: 1022: 1017: 1013: 1009: 1006:(5): 449–62. 1005: 1001: 997: 990: 987: 982: 978: 973: 968: 964: 960: 956: 952: 948: 941: 938: 933: 929: 924: 919: 915: 911: 907: 903: 899: 892: 889: 884: 878: 876: 874: 870: 865: 861: 856: 851: 847: 843: 839: 835: 831: 824: 821: 816: 812: 807: 802: 798: 794: 790: 786: 782: 775: 773: 769: 764: 760: 755: 750: 746: 742: 738: 734: 730: 723: 721: 719: 717: 715: 713: 711: 709: 705: 700: 694: 692: 688: 683: 679: 674: 669: 665: 661: 658:(1): 334–41. 657: 653: 649: 642: 640: 638: 634: 628: 626: 619: 617: 614: 610: 602: 600: 593: 591: 584: 579: 576: 572: 569: 565: 562: 558: 555: 552: 549: 546: 543: 539: 536: 532: 529: 526: 523: 520: 517: 516: 515: 512: 508: 501: 499: 492: 490: 484: 482: 476: 474: 467: 465: 463: 459: 454: 450: 442: 440: 438: 429: 424: 420: 417: 414: 411: 408: 404: 403: 402: 396: 394: 391: 387: 383: 379: 377: 373: 369: 362: 360: 353: 351: 349: 341: 336: 333: 329: 326: 325: 324: 318: 313: 309: 306: 302: 301: 300: 293: 288: 283: 280: 277: 276: 275: 269: 267: 260: 256: 252: 248: 244: 243: 242: 240: 232: 227: 224: 221: 218: 215: 212: 209: 206: 203: 200: 196: 193: 190: 187: 184: 183: 179: 174: 171: 168: 165: 164: 163: 161: 157: 153: 148: 142: 140: 136: 135:Gene Ontology 132: 128: 124: 114: 108: 105:Miscellaneous 103: 100: 98: 94: 89: 86: 82: 79: 75: 72:Paul D Thomas 71: 67: 64: 61: 59: 55: 50: 47:Gene families 46: 40: 36: 32: 27: 19: 1349: 1335: 1300: 1296: 1286: 1251: 1247: 1234: 1199: 1195: 1185: 1150: 1146: 1136: 1101: 1097: 1087: 1052: 1048: 1038: 1003: 999: 989: 954: 950: 940: 905: 901: 891: 837: 833: 823: 788: 784: 736: 732: 655: 651: 623: 606: 603:cSNP scoring 597: 588: 577: 570: 563: 556: 550: 544: 537: 530: 524: 518: 510: 509: 505: 496: 488: 480: 471: 446: 433: 400: 386:hierarchical 381: 380: 367: 366: 357: 345: 322: 297: 294:Sequence set 273: 264: 236: 143: 130: 126: 120: 110:Bookmarkable 1240:Maglott, D. 883:"PANTHERdb" 525:Mapped IDs: 443:Version 7.0 430:Version 6.0 415:(SBGN - ML) 34:Description 629:References 613:likelihood 534:paralogs). 453:microarray 299:criteria: 251:speciation 156:proteomics 141:analysis. 42:Data types 1192:"Ensembl" 571:Pathways: 449:orthologs 374:(HMM), a 312:taxonomic 1367:Category 1327:20015972 1278:21115458 1226:21045057 1177:17130144 1128:16381842 1079:22102568 1030:21873635 981:22102590 932:27899595 864:23868073 815:22096229 763:23193289 682:12520017 578:Species: 567:lineage. 152:ontology 147:InterPro 112:entities 85:12520017 44:captured 1318:2808919 1269:3013746 1217:3013672 1168:1716723 1119:1347523 1070:3245151 1021:3178059 972:3245120 923:5210595 855:6519453 806:3245097 754:3531194 458:Ensembl 257:” and “ 199:FlyBase 127:PANTHER 96:Website 69:Authors 52:Contact 29:Content 24:PANTHER 1325:  1315:  1276:  1266:  1224:  1214:  1175:  1165:  1126:  1116:  1077:  1067:  1028:  1018:  979:  969:  930:  920:  862:  852:  813:  803:  761:  751:  680:  673:165562 670:  585:Browse 462:Entrez 419:BioPAX 125:, the 91:Access 83:  541:AKT1. 348:MAFFT 1323:PMID 1274:PMID 1222:PMID 1173:PMID 1124:PMID 1075:PMID 1026:PMID 977:PMID 928:PMID 860:PMID 811:PMID 759:PMID 678:PMID 609:SNPs 574:etc. 560:etc. 407:SBML 253:”, “ 81:PMID 1313:PMC 1305:doi 1264:PMC 1256:doi 1212:PMC 1204:doi 1163:PMC 1155:doi 1114:PMC 1106:doi 1065:PMC 1057:doi 1016:PMC 1008:doi 967:PMC 959:doi 918:PMC 910:doi 850:PMC 842:doi 801:PMC 793:doi 749:PMC 741:doi 668:PMC 660:doi 437:FTP 158:or 121:In 115:yes 1369:: 1321:. 1311:. 1301:38 1299:. 1295:. 1272:. 1262:. 1252:39 1250:. 1246:. 1220:. 1210:. 1200:39 1198:. 1194:. 1171:. 1161:. 1151:35 1149:. 1145:. 1122:. 1112:. 1102:34 1100:. 1096:. 1073:. 1063:. 1053:40 1051:. 1047:. 1024:. 1014:. 1004:12 1002:. 998:. 975:. 965:. 955:40 953:. 949:. 926:. 916:. 906:45 904:. 900:. 872:^ 858:. 848:. 836:. 832:. 809:. 799:. 789:40 787:. 783:. 771:^ 757:. 747:. 737:41 735:. 731:. 707:^ 690:^ 676:. 666:. 656:31 654:. 650:. 636:^ 261:”. 1357:) 1343:. 1329:. 1307:: 1280:. 1258:: 1228:. 1206:: 1179:. 1157:: 1130:. 1108:: 1081:. 1059:: 1032:. 1010:: 983:. 961:: 934:. 912:: 885:. 866:. 844:: 838:8 817:. 795:: 765:. 743:: 701:. 684:. 662:: 409:) 334:. 129:( 20:.

Index

Panther (disambiguation)
Research center
University of Southern California
PMID
12520017

bioinformatics
Gene Ontology
high-throughput
InterPro
ontology
proteomics
gene expression
FlyBase
phylogenetic tree
speciation
gene duplication
horizontal gene transfer
model organism
taxonomic
sequence alignment
MAFFT
Hidden Markov Model
multiple sequence alignment
hierarchical
directed acyclic graph
SBML
Systems Biology Graphical Notation
BioPAX
FTP

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