Scientists at Johns Hopkins Medicine believe to have found a gene variant involved in multiple Sclerosis. They believe, it could be a breakthrough in developing precision medicine and therapies for Sclerosis. https://t.co/tWZDjCXzxO #precisionmedicine #shivom #ancestry #mutation https://t.co/U71Zf6Vr3r
An open-source database of genomes developed by researchers is making great impact on genomics data research collaborations with its easy access feature. https://t.co/hoFllu59Qm #genomics #data #tech #shivom #DNA #research #genes #bioinformatics https://t.co/cS2kFPbjU7
According to researchers, a gene from a virus that entered human DNA a thousand years ago, is active and seems to be producing proteins in the human brain and other tissues. https://t.co/uMuxNrdkvN #research #DNA #virus #shivom #health #medicine #human #tissue #proteins https://t.co/85S0elpV94
Did you know that it was by accident that Wilhelm Röntgen discovered a mysterious ray, known popularly as X-Ray today? He then repeated the accident with his wife who was horrified at first! Happy World Radiography Day. #fact #shivom #WilhelmRontgen #XRAY #WorldRadiographyDay https://t.co/kxsa3FmLsD
Leading-edge technology is leading the health care revolutionising its methods, architecture, and analytics. It will be interesting to see how this industry will take advantage of quantum https://t.co/GwpQomEPVa #healthcarenews #shivom #AI #machinelearning #healthcaredata #DNA https://t.co/c3rbcnF0PZ
NIA has launched two new research centers to improve precision medicine in Alzheimer’s disease. These centers will modify and develop new medicines to overcome this disease https://t.co/kcNeCgYEu0 #healthcare #AI #precisionmedicine #Alzheimersdisease #shivom #datascience https://t.co/DU1VWgRTkz
Genetic testing in children with cancer is bringing out new possibilities of drugs and therapies. These medicines will be selected on the basis of genetic testing of the children. https://t.co/D1fYiXjoxm #gentictesting #shivom #precisionmedicine #cancerdrugs #DNA #mutations https://t.co/teaCVvrSUd
DNA repair mechanism has become quite a puzzle for researchers. A Danish team has found that scaffold protein, which repairs DNA, is the cause of cancer. https://t.co/mhzGf2xS9Z #DNA #Protein #shivom #healthcare #blockchain #genomics #medicine #cancer https://t.co/Y0MweQ6tYs
Researches have claimed to have found genetic biomarkers linked with depression. These findings are significant as they will lead to the development of precision medicine for treatment of depression https://t.co/zWOM8W2uUI #precisionmedicine #shivom #health #healthcare #gentics https://t.co/hLmJ6nLzx3
Genetic testing has aided significant changes in lifestyle and wellness. Now, DNA information could be used to get personalised healthcare verdict on one's lifestyle, workout, medicines and many more. https://t.co/E5BO8ObL5g #genes #shivom #genomics #DNA #health #genetictesting https://t.co/RCldyxukvr
Scientists have discovered that certain protein defects in DNA do not repair themselves and lead to deadly diseases. How proteins stabilise DNA to prevent the harmful effects of damage over time has also been observed. https://t.co/wwi1xO0MHL #DNA #shivom #Protein #research https://t.co/JNbG3dXeSt
Latest DNA research shows that there are 10 genes in humans that are directly related to schizophrenia! https://t.co/NyF02i8QRH #health #shivom #genes #DNA #mutation #schizophrenia #biology #research #disorder https://t.co/497Z8P3q2G
Washington State University researchers have combined AI and game theory and made a tool that identifies antibiotic-resistant genes in bacteria. https://t.co/SGsko08zRf #AI #genes #ancestry #shivom #health #technology #blockchain https://t.co/3hYiP3w2c3
Cancer, with its known treatments, still seems like an area to be explored in terms of better and refined treatment. Researchers believe that PDCs can play a role in the personalised treatment of cancer. https://t.co/F4A7h5Jqo4 #cancer #precisionmedicine #shivom #genomics #tumor https://t.co/bMRI8Ga7RT
Precision medicine is evolving and making its space in the healthcare sector. It proposes therapies and medicines on the basis of character and personal health of an individual. Read more here. https://t.co/rIfxQxF9eG #precisionmedicine #health #shivom #research #genomics #DNA https://t.co/JAW01JR8Vb
IBM has developed a machine-learning algorithm that will detect and slow down the process of Alzheimer's disease. The disease is known to be progressive in memory loss and mental illness. https://t.co/EOZSIwyu1Z #Machinelearning #Alzheimer #AI #technology #shivom #healthcare https://t.co/yw3EMLL8AD
Cimon, a head-shaped AI robot joined astronauts on ISS. Developed by Airbus and IBM, it will serve as an assistant to astronauts https://t.co/ISP4wOx32l #robotics #AIrobots #ML #bigdata #IoT #shivom #AI https://t.co/7uOgBg8wLR
Human body's fastest muscles are the ones which make the blinking of eyes possible; they contract in less than one-hundredth of a second. A normal person blinks his/her eyes more than 11,500 times! #facts #shivom #evolution #healthcare #ancestry #lifestyle #science #biology https://t.co/bKilYuKFs7
DNA is the key to genetics but with the alternation in DNA, it can cause several health issues. Also, the repair mechanism works on DNA itself; researchers are now trying to understand this mechanism completely. https://t.co/ETgzuJeMXQ #DNA #genetics #DNArepair #shivom #genes https://t.co/kMzFkzzAx2
Researchers have examined the underrepresented groups in genomics research and provided the scientific and non-scientific benefits of the same. https://t.co/QsZGNJuUj2 #genomics #shivom #genomicsresearch #genetics #geneticancestry #humangenomics #ancestry #genes #healthcare https://t.co/GnYHbByvLW
| # | Биржа | Пара | Объем (24ч) | Цена | Количество (%) | Category | Fee Type | Обновленный |
|---|---|---|---|---|---|---|---|---|
| 1 |  Coinbene | 0 ₽ | 0.026330 ₽ | 0% | Spot | Percentage | 1 minute ago | |
| 2 |  DDEX | 184.77 ₽ | 0.012156 ₽ | 100.00% | Spot | Percentage | 1 minute ago |
| # | Биржа |
|---|
| # | Название | Капитализация рынка | Цена | Объем (24ч) | Доступные ресурсы | 7d-диаграмма | ||
|---|---|---|---|---|---|---|---|---|
| 0 |  | BulleonBUL | 1 054 908 ₽ | 0.962252 ₽ | 1 007.64 ₽ | 1 096 353 | 
102.96 %
| |
| 110 |  | YOU COINYOU | 2 700 378 498 ₽ | 3.68 ₽ | 544 936 172 ₽ | 734 466 696 | 
2.24 %
| |
| 116 |  | Buggyra Coin ZeroBCZERO | 2 408 452 443 ₽ | 1.197773 ₽ | 1 750 559 ₽ | 2 010 775 988 | 
-1.33 %
| |
| 156 |  | QubiticaQBIT | 1 761 356 799 ₽ | 2 178.08 ₽ | 1 054 362 ₽ | 808 675 | 
0.31 %
| |
| 163 |  | AgaveCoinAGVC | 1 604 565 770 ₽ | 4.11 ₽ | 125 670 ₽ | 390 619 593 | 
-9.17 %
| |
| 190 |  | LINALINA | 1 325 869 497 ₽ | 4.82 ₽ | 9 411 747 ₽ | 274 931 592 | 
-9.33 %
| |
| 202 |  | UltiledgerULT | 1 198 340 761 ₽ | 1.86 ₽ | 418 116 333 ₽ | 643 499 286 | 
0.35 %
| |
| 211 |  | BitKanKAN | 1 098 355 471 ₽ | 0.179917 ₽ | 71 356 047 ₽ | 6 104 786 945 | 
-7.02 %
| |
| 250 |  | ETERNAL TOKENXET | 830 809 607 ₽ | 8.89 ₽ | 3 979 826 ₽ | 93 470 000 | 
-16.4 %
| |
| 294 |  | PressOnePRS | 615 169 601 ₽ | 2.16 ₽ | 4 821 777 ₽ | 284 742 628 | 
2.1 %
| |
| 299 |  | RealTractRET | 598 056 216 ₽ | 0.056420 ₽ | 3 258 619 ₽ | 10 600 000 000 | 
-31.39 %
| |
| 359 |  | LitexLXT | 429 615 784 ₽ | 0.429616 ₽ | 159 924 537 ₽ | 999 999 987 | 
7.12 %
| |
| 368 |  | MetronomeMET | 402 150 494 ₽ | 41.51 ₽ | 33 414 544 ₽ | 9 687 530 | 
16.76 %
| |
| 429 |  | Rocket PoolRPL | 307 352 572 ₽ | 31.21 ₽ | 2 640 591 ₽ | 9 848 692 | 
0.97 %
| |
| 435 |  | Cosmo CoinCOSM | 304 517 866 ₽ | 0.453975 ₽ | 5 994 458 ₽ | 670 780 889 | 
-11.86 %
| |
| 448 |  | STACSSTACS | 285 419 635 ₽ | 0.548739 ₽ | 830 198 ₽ | 520 137 195 | 
-5.72 %
| |
| 531 |  | RublixRBLX | 193 343 153 ₽ | 9.30 ₽ | 523 595 ₽ | 20 781 284 | 
-6.1 %
| |
| 533 |  | PentaPNT | 192 328 537 ₽ | 0.009152 ₽ | 4 454 853 ₽ | 21 014 319 521 | 
7.78 %
| |
| 556 |  | SentivateSNTVT | 168 354 281 ₽ | 0.073812 ₽ | 7 702 953 ₽ | 2 280 864 940 | 
-1.09 %
| |
| 561 |  | Content Neutrality NetworkCNN | 167 146 004 ₽ | 0.004282 ₽ | 13 064 510 ₽ | 39 035 223 816 | 
-10.31 %
| |
| 567 |  | MVLMVL | 161 393 254 ₽ | 0.021085 ₽ | 7 100 149 ₽ | 7 654 276 413 | 
9.05 %
| |
| 598 |  | CanonChainCZR | 142 869 806 ₽ | 0.255243 ₽ | 25 511 031 ₽ | 559 740 025 | 
-8.04 %
| |
| 655 |  | DACSEEDACS | 106 208 956 ₽ | 0.140680 ₽ | 87 093.61 ₽ | 754 968 384 | 
-10.99 %
| |
| 657 |  | MindexcoinMIC | 105 355 704 ₽ | 0.154120 ₽ | 12 977 516 ₽ | 683 595 545 | 
56.74 %
| |
| 699 |  | Niobium CoinNBC | 82 881 690 ₽ | 1.68 ₽ | 228 007 ₽ | 49 227 668 | 
-8.45 %
| |
| 708 |  | Thore CashTCH | 78 453 172 ₽ | 1.42 ₽ | 3 288 506 225 ₽ | 55 056 178 | 
54.91 %
| |
| 716 |  | FansTimeFTI | 76 498 323 ₽ | 0.026842 ₽ | 2 624 869 ₽ | 2 850 000 000 | 
-12.35 %
| |
| 742 |  | NeuroChainNCC | 66 743 906 ₽ | 0.157742 ₽ | 887 291 ₽ | 423 121 131 | 
-7.1 %
| |
| 753 |  | QChiQCH | 63 004 462 ₽ | 1.94 ₽ | 13 059 087 ₽ | 32 395 606 | 
-6.11 %
| |
| 756 |  | TolarTOL | 62 206 597 ₽ | 0.253154 ₽ | 12 117 994 ₽ | 245 726 787 | 
-15.48 %
| |
| 799 |  | FREE CoinFREE | 44 515 167 ₽ | 0.000005 ₽ | 349 170 ₽ | 8 700 200 594 990 | 
-11.11 %
| |
| 846 |  | EvenCoinEVN | 33 276 944 ₽ | 1.064944 ₽ | 45 348 218 ₽ | 31 247 621 | 
-20.15 %
| |
| 855 |  | TraDove B2BCoinBBC | 30 936 370 ₽ | 0.061873 ₽ | 1 872 969 ₽ | 500 000 000 | 
3.16 %
| |
| 857 |  | DPRatingRATING | 30 473 129 ₽ | 0.011830 ₽ | 5 113 864 ₽ | 2 576 031 479 | 
4.66 %
| |
| 865 |  | ICE ROCK MININGROCK2 | 28 627 775 ₽ | 1.82 ₽ | 1 922 074 ₽ | 15 724 272 | 
-41.74 %
| |
| 870 |  | EssentiaESS | 27 381 187 ₽ | 0.031621 ₽ | 3 413 741 ₽ | 865 918 920 | 
3.98 %
| |
| 930 |  | BitScreener TokenBITX | 17 733 450 ₽ | 0.111305 ₽ | 956 561 ₽ | 159 323 740 | 
-11.5 %
| |
| 992 |  | Silent NotarySNTR | 8 808 556 ₽ | 0.000106 ₽ | 2 190 379 ₽ | 83 470 521 339 | 
108.86 %
| |
| 995 |  | OptiTokenOPTI | 8 340 902 ₽ | 0.298242 ₽ | 72 322.71 ₽ | 27 967 045 | 
8.03 %
| |
| 1016 |  | IGTokenIG | 6 188 809 ₽ | 0.002018 ₽ | 11 106 002 ₽ | 3 067 046 088 | 
-9.91 %
| |
| 1017 |  | WebcoinWEB | 6 187 722 ₽ | 0.144132 ₽ | 2 882 763 ₽ | 42 931 194 | 
56.27 %
| |
| 1040 |  | InternationalCryptoXINCX | 3 761 701 ₽ | 0.008774 ₽ | 2 687 599 ₽ | 428 755 167 | 
-1.64 %
| |
| 1041 |  | BitetherBTR | 3 686 296 ₽ | 0.064975 ₽ | 567 790 ₽ | 56 735 293 | 
-3.09 %
| |
| 1043 |  | DOWCOINDOW | 3 536 252 ₽ | 0.299408 ₽ | 120 611 ₽ | 11 810 983 | 
106.12 %
| |
| 1052 |  | SiaCashCoinSCC | 2 694 833 ₽ | 0.000206 ₽ | 228 832 ₽ | 13 085 542 638 | 
-19.5 %
| |
| 1072 |  | ShowHandHAND | 1 425 476 ₽ | 0.000023 ₽ | 878 276 ₽ | 61 912 434 418 | 
-12.2 %
| |
| 1073 |  | Italian LiraITL | 1 349 943 ₽ | 0.000057 ₽ | 676 710 ₽ | 23 716 549 443 | 
-5.32 %
| |
| 1082 |  | Tourist TokenTOTO | 789 870 ₽ | 0.000201 ₽ | 1 210 520 ₽ | 3 933 323 630 | 
-1.26 %
| |
| 1088 |  | Alpha CoinAPC | 668 224 ₽ | 0.020586 ₽ | 1 325 648 ₽ | 32 461 882 | 
-6.83 %
| |
| 1098 |  | BitcoinusBITS | 3 069.94 ₽ | 0.000052 ₽ | 909 658 ₽ | 59 294 348 | 
-35.2 %
| |
| 1149 |  | AVINOCAVINOC | 152 470 855 ₽ | 0.391710 ₽ | 2 149.98 ₽ | 389 244 472 | 
-3.12 %
| |
| 1160 |  | ParkinGoGOT | 122 682 898 ₽ | 7.63 ₽ | 16 696.59 ₽ | 16 077 226 | 
-36.63 %
| |
| 1236 |  | TRONCLASSICTRXC | 51 164 659 ₽ | 0.000110 ₽ | 7 077.36 ₽ | 465 107 478 370 | 
104.76 %
| |
| 1252 |  | FLIPFLP | 42 073 540 ₽ | 0.751918 ₽ | 18 041.24 ₽ | 55 955 000 | 
-4.32 %
| |
| 1256 |  | Digital Insurance TokenDIT | 37 923 556 ₽ | 0.168816 ₽ | 1 266.12 ₽ | 224 644 536 | 
-10.92 %
| |
| 1263 |  | TyperiumTYPE | 36 744 251 ₽ | 0.022737 ₽ | 5 460.37 ₽ | 1 616 075 166 | 
-4.89 %
| |
| 1266 |  | BittwattBWT | 34 871 395 ₽ | 0.113585 ₽ | 6 423.35 ₽ | 307 006 848 | 
-6.34 %
| |
| 1273 |  | ValueCyberTokenVCT | 33 250 722 ₽ | 0.308343 ₽ | 18 651.00 ₽ | 107 837 023 | 
-24.93 %
| |
| 1312 |  | Block-Chain.comBC | 23 302 387 ₽ | 0.112544 ₽ | 0.119956 ₽ | 207 051 787 | 
-27.87 %
| |
| 1334 |  | ZMINEZMN | 19 325 214 ₽ | 0.118172 ₽ | 16 262.17 ₽ | 163 535 523 | 
-14.39 %
| |
| 1357 |  | Blockparty (BOXX Token)BOXX | 15 888 351 ₽ | 0.489567 ₽ | 6 511.19 ₽ | 32 453 993 | 
-8.22 %
| |
| 1445 |  | Guaranteed Ethurance Token ExtraGETX | 7 240 072 ₽ | 0.024134 ₽ | 60.33 ₽ | 300 000 000 | 
34.83 %
| |
| 1456 |  | EXMREXMR | 6 826 781 ₽ | 0.580677 ₽ | 4 219.39 ₽ | 11 756 612 | 
68.57 %
| |
| 1507 |  | WABnetworkWAB | 4 913 632 ₽ | 0.000549 ₽ | 5 327.98 ₽ | 8 943 815 827 | 
-45.25 %
| |
| 1548 |  | NetKoinNTK | 3 600 273 ₽ | 0.000808 ₽ | 39 055.17 ₽ | 4 453 537 916 | 
8.4 %
| |
| 1577 |  | Bitcoin Turbo KoinBTK | 2 960 894 ₽ | 0.000167 ₽ | 53 153.52 ₽ | 17 737 685 400 | 
-56.06 %
| |
| 1615 |  | Joint VenturesJOINT | 2 216 369 ₽ | 0.100162 ₽ | 54 860.80 ₽ | 22 128 085 | 
2.38 %
| |
| 1638 |  | BTC LiteBTCL | 1 788 880 ₽ | 0.095663 ₽ | 36 268.11 ₽ | 18 700 000 | 
59.4 %
| |
| 1641 |  | Kind Ads TokenKIND | 1 775 257 ₽ | 0.042045 ₽ | 171.46 ₽ | 42 223 693 | 
-17.37 %
| |
| 1714 |  | BitCoin OneBTCONE | 1 073 904 ₽ | 0.011255 ₽ | 316.90 ₽ | 95 420 349 | 
-52.67 %
| |
| 1719 |  | Zenswap Network TokenZNT | 967 095 ₽ | 0.000081 ₽ | 58 005.61 ₽ | 12 001 366 640 | 
-11.89 %
| |
| 1783 |  | MocrowMCW | 489 208 ₽ | 0.240133 ₽ | 2 449.35 ₽ | 2 037 409 | 
0.48 %
| |
| 1858 |  | Ethereum MetaETHM | 121 327 ₽ | 0.000959 ₽ | 461.36 ₽ | 126 571 297 | 
15.22 %
| |
| 1865 |  | Bankcoin CashBKC | 99 005.59 ₽ | 0.000248 ₽ | 32.93 ₽ | 400 000 000 | 
33.45 %
| |
| 1883 |  | AbulabaAAA | 21 169.80 ₽ | 0.001406 ₽ | 541.22 ₽ | 15 090 818 | 
-96.89 %
| |
| 1894 |  | The Midas Touch GoldTMTG | 0 ₽ | 0.042859 ₽ | 2 895 275 298 ₽ | 0 | 
-7.43 %
| |
| 1950 |  | Usechain TokenUSE | 0 ₽ | 0.044768 ₽ | 22 670 571 ₽ | 0 | 
-34.72 %
| |
| 1960 |  | HitChainHIT | 0 ₽ | 0.004387 ₽ | 17 283 942 ₽ | 0 | 
6.55 %
| |
| 1975 |  | MyTokenMT | 0 ₽ | 0.099031 ₽ | 10 843 342 ₽ | 0 | 
-11.32 %
| |
| 1977 |  | KEYKEY | 0 ₽ | 0.125209 ₽ | 10 580 251 ₽ | 0 | 
30.81 %
| |
| 1978 |  | DIPNETDPN | 0 ₽ | 0.026958 ₽ | 10 340 432 ₽ | 0 | 
-8.19 %
| |
| 1981 |  | Yuan Chain CoinYCC | 0 ₽ | 0.759042 ₽ | 9 529 957 ₽ | 0 | 
-13.19 %
| |
| 2020 |  | TwinkleTKT | 0 ₽ | 0.157562 ₽ | 3 921 105 ₽ | 0 | 
9.39 %
| |
| 2035 |  | Blockchain Quotations Index TokenBQT | 0 ₽ | 0.910344 ₽ | 2 800 123 ₽ | 0 | 
-1.16 %
| |
| 2037 |  | PalletOnePTN | 0 ₽ | 0.386277 ₽ | 2 624 515 ₽ | 0 | 
-11.68 %
| |
| 2038 |  | Intelligent Investment ChainIIC | 0 ₽ | 0.011851 ₽ | 2 620 155 ₽ | 0 | 
-8.18 %
| |
| 2044 |  | CybereitsCRE | 0 ₽ | 0.099923 ₽ | 2 417 488 ₽ | 0 | 
1.16 %
| |
| 2078 |  | Liquidity NetworkLQD | 0 ₽ | 0.764064 ₽ | 993 143 ₽ | 0 | 
22.38 %
| |
| 2130 |  | PotentiamPTM | 0 ₽ | 0.590856 ₽ | 213 434 ₽ | 0 | 
1.5 %
| |
| 2133 |  | WixlarWIX | 0 ₽ | 0.255549 ₽ | 200 459 ₽ | 0 | 
-65.83 %
| |
| 2158 |  | INO COININO | 0 ₽ | 130.59 ₽ | 129 941 ₽ | 0 | 
-0.93 %
| |
| 2161 |  | SEDO POW TOKENSEDO | 0 ₽ | 4.48 ₽ | 122 481 ₽ | 0 | 
-14.05 %
| |
| 2177 |  | IOV BlockChainIOV | 0 ₽ | 0.021223 ₽ | 64 989.58 ₽ | 0 | 
0.51 %
| |
| 2210 |  | M2OM2O | 0 ₽ | 0.022285 ₽ | 25 557.00 ₽ | 0 | 
-19.48 %
| |
| 2284 |  | VoltACDC | 0 ₽ | 0.006187 ₽ | 4 258.62 ₽ | 0 | 
-23.08 %
| |
| 2384 |  | DWSDWS | 0 ₽ | 0.018312 ₽ | 350.48 ₽ | 0 | 
-9.17 %
| |
| 2427 |  | CentaureCEN | 0 ₽ | 0.005627 ₽ | 110.06 ₽ | 0 | 
96.84 %
| |
| 2433 |  | OBXcoinOBX | 0 ₽ | 0.045513 ₽ | 85.33 ₽ | 0 | 
-87.15 %
| |
| 2440 |  | MESSE TOKENMESSE | 0 ₽ | 0.144079 ₽ | 72.76 ₽ | 0 | 
0.48 %
| |
| 2493 |  | Primebank CoinPMC | 0 ₽ | 0.001321 ₽ | 4.99 ₽ | 0 | 
0.49 %
|
| Shivom
token address:
| 0xb5dbc6d3cf380079df3b27135664b6bcf45d1869 |
|---|
| Shivom
token address:
|
|---|
| 0xb5dbc6d3cf380079df3b27135664b6bcf45d1869 |
| Top Addresses | Value | Percentage |
|---|---|---|
| Top 10 | 2 235 019 654 OMX | 74.50% |
| Top 100 | 2 693 115 355 OMX | 89.77% |
| Top 1000 | 2 911 330 075 OMX | 97.04% |
| All | 3 000 000 000 OMX | 100.00% |
What is Market depth?
Market depth is a metric, which is showing the real liquidity of the markets. Due to rampant wash-trading and fake activity - volume currently isn't the most reliable indicator in the crypto space.
What is it measuring?
It's measuring 1% or 10% section of the order book from the midpoint price (1%/10% of the buy orders, and 1%/10% of the sell orders).
Why it is important to use only 1% or 10%?
It's important, because measurement of the whole order book is going to give false results due to extreme values, which can make false illusion of liquidity for a given market.
What is showing Historical Market Depth?
Historical Market Depth is showing the history of liquidity from the markets for a given asset. It’s a measure of combined liquidity from all integrated markets on the coinpaprika’s market depth module.
Technical Analysis
