Knowledge (XXG)

EsyN

Source đź“ť

123:. esyN is based on cytoscape.js and its aim is to make it easy for everybody to perform network analysis. esyN is connected with a number of databases - specifically: pombase, 496: 206: 501: 139:
from which its possible to download the protein protein or genetic interactions for any protein or gene in a number of different organisms.
481: 84: 486: 201: 120: 43: 406: 116: 196: 169:
The embedding capabilities of esyN are used by a number of databases to display their interaction data:
162:
As of January 2016 esyN is being viewed by 1500 unique users a day (about 16000 a month) according to
432: 491: 79: 279:"An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System" 308: 259: 298: 290: 249: 239: 163: 303: 254: 227: 112: 380: 475: 352: 244: 294: 142:
Networks published in esyN can be easily published in other websites using the
72: 19: 278: 128: 312: 263: 132: 437: 357: 184: 173: 136: 124: 326: 24: 464: 95: 381:"Allele : ttk[MI01174] D. melanogaster" 143: 90: 78: 68: 42: 30: 18: 228:"esyN: Network Building, Sharing and Publishing" 8: 15: 302: 253: 243: 497:Science and technology in Cambridgeshire 218: 207:Protein–protein interaction prediction 7: 14: 25:Cambridge Systems Biology Centre 121:molecular interaction networks 1: 502:South Cambridgeshire District 353:"Physical Interaction report" 277:Hoffman; et al. (2015). 49:2.1 / 17 January 2016 245:10.1371/journal.pone.0106035 327:"Tutorial: Welcome to esyN" 295:10.1534/genetics.115.181503 202:Metabolic network modelling 518: 226:Bean; et al. (2014). 119:, building and analysing 64: 38: 482:Bioinformatics software 433:"Fission yeast GO slim" 85:Bioinformatics software 197:Computational genomics 487:Metabolomic databases 111:(Easy Networks) is a 51:; 8 years ago 361:. 21 December 2018 20:Original author(s) 131:data warehouses, 106: 105: 509: 468: 467: 465:Official website 450: 449: 447: 445: 429: 423: 422: 420: 418: 403: 397: 396: 394: 392: 377: 371: 370: 368: 366: 349: 343: 342: 340: 338: 323: 317: 316: 306: 274: 268: 267: 257: 247: 223: 164:Google Analytics 153: 152: 149: 146: 102: 99: 97: 59: 57: 52: 16: 517: 516: 512: 511: 510: 508: 507: 506: 472: 471: 463: 462: 459: 454: 453: 443: 441: 431: 430: 426: 416: 414: 413:. November 2018 405: 404: 400: 390: 388: 387:. November 2018 379: 378: 374: 364: 362: 351: 350: 346: 336: 334: 325: 324: 320: 276: 275: 271: 225: 224: 220: 215: 193: 160: 150: 147: 144: 94: 60: 55: 53: 50: 31:Initial release 12: 11: 5: 515: 513: 505: 504: 499: 494: 489: 484: 474: 473: 470: 469: 458: 457:External links 455: 452: 451: 424: 398: 372: 344: 318: 289:(2): 403–423. 269: 238:(9): e106035. 217: 216: 214: 211: 210: 209: 204: 199: 192: 189: 188: 187: 182: 179: 176: 159: 156: 113:bioinformatics 104: 103: 92: 88: 87: 82: 76: 75: 70: 66: 65: 62: 61: 48: 46: 44:Stable release 40: 39: 36: 35: 34:September 2014 32: 28: 27: 22: 13: 10: 9: 6: 4: 3: 2: 514: 503: 500: 498: 495: 493: 490: 488: 485: 483: 480: 479: 477: 466: 461: 460: 456: 440: 439: 434: 428: 425: 412: 408: 407:"Report page" 402: 399: 386: 382: 376: 373: 360: 359: 354: 348: 345: 332: 328: 322: 319: 314: 310: 305: 300: 296: 292: 288: 284: 280: 273: 270: 265: 261: 256: 251: 246: 241: 237: 233: 229: 222: 219: 212: 208: 205: 203: 200: 198: 195: 194: 190: 186: 183: 180: 177: 175: 172: 171: 170: 167: 165: 157: 155: 154:methodology. 140: 138: 134: 130: 126: 122: 118: 115:web-tool for 114: 110: 101: 93: 89: 86: 83: 81: 77: 74: 71: 67: 63: 47: 45: 41: 37: 33: 29: 26: 23: 21: 17: 442:. Retrieved 436: 427: 415:. Retrieved 410: 401: 389:. Retrieved 384: 375: 363:. Retrieved 356: 347: 335:. Retrieved 330: 321: 286: 282: 272: 235: 231: 221: 168: 161: 141: 108: 107: 444:10 February 417:10 February 391:10 February 365:10 February 337:10 February 127:, and most 117:visualizing 492:Proteomics 476:Categories 213:References 73:JavaScript 69:Written in 56:2016-01-17 411:HumanMine 181:HumanMine 129:InterMine 331:esyN.org 313:26447128 283:Genetics 264:25181461 232:PLOS ONE 191:See also 133:DrugBank 438:PomBase 385:FlyMine 358:FlyBase 304:4596657 255:4152123 185:PomBase 178:FlyMine 174:FlyBase 137:BioGRID 125:flybase 91:Website 54: ( 333:. 2018 311:  301:  262:  252:  148:iframe 135:, and 158:Usage 98:.esyn 446:2019 419:2019 393:2019 367:2019 339:2019 309:PMID 260:PMID 151:> 145:< 109:esyN 100:.org 80:Type 299:PMC 291:doi 287:201 250:PMC 240:doi 96:www 478:: 435:. 409:. 383:. 355:. 329:. 307:. 297:. 285:. 281:. 258:. 248:. 234:. 230:. 166:. 448:. 421:. 395:. 369:. 341:. 315:. 293:: 266:. 242:: 236:9 58:)

Index

Original author(s)
Cambridge Systems Biology Centre
Stable release
JavaScript
Type
Bioinformatics software
www.esyn.org
bioinformatics
visualizing
molecular interaction networks
flybase
InterMine
DrugBank
BioGRID
Google Analytics
FlyBase
PomBase
Computational genomics
Metabolic network modelling
Protein–protein interaction prediction
"esyN: Network Building, Sharing and Publishing"
doi
10.1371/journal.pone.0106035
PMC
4152123
PMID
25181461
"An Ancient Yeast for Young Geneticists: A Primer on the Schizosaccharomyces pombe Model System"
doi
10.1534/genetics.115.181503

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.

↑