142:
organism, tissue, localization and condition, and sorted by false discovery rate and expression. MOPED empowers users to visualize their own expression data and compare it with existing studies. Further, MOPED links to various protein and pathway data- bases, including GeneCards, Panther, Entrez, UniProt, KEGG, SEED, and
Reactome. Protein and gene identifiers are integrated from GeneCards (cross-referenced with MOPED), Genbank, RefSeq, UniProt, WormBase, and Saccharomyces Genome Database (SGD). The current version of MOPED (MOPED 2.5, 2014) contains approximately 5 million total records including ~260 experiments and ~390 conditions. MOPED is developed and supported by the Kolker team at
141:
to uniquely provide protein level absolute and relative expression data, meta- analysis capabilities and quantitative data. Processed relative expression transcriptomics data were obtained from the Gene
Expression Omnibus (GEO). Data can be queried for specific proteins and genes, browsed based on
383:
Montague, Elizabeth; Janko, Imre; Stanberry, Larissa; Lee, Elaine; Choiniere, John; Anderson, Nathaniel; Stewart, Elizabeth; Broomall, William; Higdon, Roger; Kolker, Natali; Kolker, Eugene (2015-01-28).
291:
Kolker E, Higdon R, Morgan P, Sedensky M, Welch D, Bauman A, Stewart E, Haynes W, Broomall W, Kolker N (December 2011). "SPIRE: Systematic protein investigative research environment".
138:
446:
Stelzer G, Dalah I, Stein TI, Satanower Y, Rosen N, Nativ N, Oz-Levi D, Olender T, Belinky F, Bahir I, Krug H, Perco P, Mayer B, Kolker E, Safran M, Lancet D (October 2011).
171:
Higdon R; Stewart E; Stanberry L; Haynes W; Choiniere J; Montague E; Anderson N; Yandl Y; Janko I; Broomall W; Fishilevich S; Lancet D; Kolker N; Eugene Kolker. (Jan 2014).
154:
MOPED was previously known as the Model
Organism Protein Expression Database, before changing its name to the Multi-Omics Profiling Expression Database.
137:
MOPED is designed to simplify the comparison and sharing of data for the greater research community. MOPED employs the standardized analysis pipeline
143:
54:
326:
Kolker, Eugene; Higdon, Roger; Haynes, Winston; Welch, Dean; Broomall, William; Lancet, Doron; Stanberry, Larissa; Kolker, Natali (2011-12-01).
385:
24:
501:
269:
506:
220:
Kolker E, Higdon R, Haynes W, Welch D, Broomall W, Lancet D, Stanberry L, Kolker N (Jan 2012).
479:
423:
405:
365:
347:
308:
251:
202:
469:
459:
413:
397:
355:
339:
300:
241:
233:
192:
184:
118:
49:
511:
474:
447:
418:
360:
246:
221:
197:
172:
126:
495:
129:
and humans. As to date (2021) it has ceased activities and is unaccessible online.
304:
464:
122:
114:
409:
351:
483:
427:
369:
312:
255:
206:
401:
343:
237:
173:"MOPED enables discoveries through consistently processed proteomics data"
39:
MOPED enables discoveries through consistently processed multi-omics data
327:
277:
188:
97:
23:
133:
Systematic
Protein Investigative Research Environment
386:"Beyond protein expression, MOPED goes multi-omics"
328:"MOPED: Model Organism Protein Expression Database"
222:"MOPED: Model Organism Protein Expression Database"
93:
88:
80:
68:
60:
48:
43:
35:
30:
125:information from publicly available studies on
8:
16:
150:Model Organism Protein Expression Database
15:
473:
463:
448:"In-silico human genomics with GeneCards"
417:
359:
245:
196:
117:resource that supports rapid browsing of
107:Multi-Omics Profiling Expression Database
163:
144:Seattle Children's Research Institute
55:Seattle Children's Research Institute
7:
14:
22:
1:
270:"Start Moped Web Application"
305:10.1016/j.jprot.2011.05.009
232:(Database issue): D1093–9.
528:
465:10.1186/1479-7364-5-6-709
21:
390:Nucleic Acids Research
332:Nucleic Acids Research
502:Biological databases
274:www.proteinspire.org
402:10.1093/nar/gku1175
396:(D1): D1145–D1151.
344:10.1093/nar/gkr1177
338:(D1): D1093–D1099.
238:10.1093/nar/gkr1177
113:) was an expanding
18:
226:Nucleic Acids Res
189:10.1021/pr400884c
103:
102:
519:
487:
477:
467:
432:
431:
421:
380:
374:
373:
363:
323:
317:
316:
288:
282:
281:
276:. Archived from
266:
260:
259:
249:
217:
211:
210:
200:
168:
69:Primary citation
26:
19:
527:
526:
522:
521:
520:
518:
517:
516:
492:
491:
490:
445:
441:
439:Further reading
436:
435:
382:
381:
377:
325:
324:
320:
290:
289:
285:
268:
267:
263:
219:
218:
214:
170:
169:
165:
160:
152:
135:
127:model organisms
119:transcriptomics
50:Research center
12:
11:
5:
525:
523:
515:
514:
509:
504:
494:
493:
489:
488:
442:
440:
437:
434:
433:
375:
318:
283:
280:on 2014-04-22.
261:
212:
183:(1): 107–113.
177:J Proteome Res
162:
161:
159:
156:
151:
148:
134:
131:
101:
100:
95:
91:
90:
86:
85:
82:
78:
77:
70:
66:
65:
62:
58:
57:
52:
46:
45:
41:
40:
37:
33:
32:
28:
27:
13:
10:
9:
6:
4:
3:
2:
524:
513:
510:
508:
505:
503:
500:
499:
497:
485:
481:
476:
471:
466:
461:
458:(6): 709–17.
457:
453:
452:Hum. Genomics
449:
444:
443:
438:
429:
425:
420:
415:
411:
407:
403:
399:
395:
391:
387:
379:
376:
371:
367:
362:
357:
353:
349:
345:
341:
337:
333:
329:
322:
319:
314:
310:
306:
302:
298:
294:
287:
284:
279:
275:
271:
265:
262:
257:
253:
248:
243:
239:
235:
231:
227:
223:
216:
213:
208:
204:
199:
194:
190:
186:
182:
178:
174:
167:
164:
157:
155:
149:
147:
145:
140:
132:
130:
128:
124:
120:
116:
112:
108:
99:
96:
92:
87:
83:
79:
75:
71:
67:
63:
59:
56:
53:
51:
47:
42:
38:
34:
29:
25:
20:
455:
451:
393:
389:
378:
335:
331:
321:
299:(1): 122–6.
296:
293:J Proteomics
292:
286:
278:the original
273:
264:
229:
225:
215:
180:
176:
166:
153:
136:
110:
106:
104:
81:Release date
73:
64:Roger Higdon
115:multi-omics
36:Description
507:Proteomics
496:Categories
158:References
123:proteomics
72:Higdon R,
410:1362-4962
352:1362-4962
484:22155609
428:25404128
370:22139914
313:21609792
256:22139914
207:24350770
475:3525253
419:4383969
361:3245040
247:3245040
198:4039175
94:Website
61:Authors
44:Contact
31:Content
482:
472:
426:
416:
408:
368:
358:
350:
311:
254:
244:
205:
195:
89:Access
512:Omics
139:SPIRE
111:MOPED
98:MOPED
74:et al
17:MOPED
480:PMID
424:PMID
406:ISSN
366:PMID
348:ISSN
309:PMID
252:PMID
203:PMID
121:and
105:The
84:2012
470:PMC
460:doi
414:PMC
398:doi
356:PMC
340:doi
301:doi
242:PMC
234:doi
193:PMC
185:doi
498::
478:.
468:.
454:.
450:.
422:.
412:.
404:.
394:43
392:.
388:.
364:.
354:.
346:.
336:40
334:.
330:.
307:.
297:75
295:.
272:.
250:.
240:.
230:40
228:.
224:.
201:.
191:.
181:13
179:.
175:.
146:.
486:.
462::
456:5
430:.
400::
372:.
342::
315:.
303::
258:.
236::
209:.
187::
109:(
76:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
