Analyses of Non-Coding Somatic Drivers in 2,658 Cancer Whole Genomes

AuthID
P-00R-P60
Document Type
Article
Year published
2020
Published
in Nat., ISSN: 0028-0836
Volume: 578, Issue: 7793, Pages: 102-111
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Publication Identifiers
DBLP: journals/nature/RheinbayNAWSTHH20
Pubmed: 32025015
SCOPUS: 2-s2.0-85079047263
Source Identifiers
ISSN: 0028-0836
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Name Order Name   Name Order Name   Name Order Name
1 Rheinbay, E;   2 PCAWG Drivers and Functional Interpretation Working Group, ;   3 Nielsen, MM;
4 Abascal, F;   5 Wala, JA;   6 Shapira, O;
7 Tiao, G;   8 Hornshøj, H;   9 Hess, JM;
10 Juul, RI;   11 Lin, Z;   12 Feuerbach, L;
13 Sabarinathan, R;   14 Madsen, T;   15 Kim, J;
16 Mularoni, L;   17 Shuai, S;   18 Lanzós, A;
19 Herrmann, C;   20 Maruvka, YE;   21 Shen, C;
22 Amin, SB;   23 Bandopadhayay, P;   24 Bertl, J;
25 Boroevich, KA;   26 Busanovich, J;   27 Carlevaro-Fita, J;
28 Chakravarty, D;   29 Chan, CWY;   30 Craft, D;
31 Dhingra, P;   32 Diamanti, K;   33 Fonseca, NA ;
34 Gonzalez-Perez, A;   35 Guo, Q;   36 Hamilton, MP;
37 Haradhvala, NJ;   38 Hong, C;   39 Isaev, K;
40 Johnson, TA;   41 Juul, M;   42 Kahles, A;
43 Kahraman, A;   44 Kim, Y;   45 Komorowski, J;
46 Kumar, K;   47 Kumar, S;   48 Lee, D;
49 Lehmann, K;   50 Li, Y;   51 Liu, EM;
52 Lochovsky, L;   53 Park, K;   54 Pich, O;
55 Roberts, ND;   56 Saksena, G;   57 Schumacher, SE;
58 Sidiropoulos, N;   59 Sieverling, L;   60 Sinnott-Armstrong, N;
61 Stewart, C;   62 Tamborero, D;   63 Tubio, JMC;
64 Umer, HM;   65 Uusküla-Reimand, L;   66 Wadelius, C;
67 Wadi, L;   68 Yao, X;   69 Zhang, C;
70 Zhang, J;   71 Haber, JE;   72 Hobolth, A;
73 Imielinski, M;   74 Kellis, M;   75 Lawrence, MS;
76 von Mering, C;   77 Nakagawa, H;   78 Raphael, BJ;
79 Rubin, MA;   80 Sander, C;   81 Stein, LD;
82 Stuart, JM;   83 Tsunoda, T;   84 Wheeler, DA;
85 Johnson, R;   86 Reimand, J;   87 Gerstein, M;
88 Khurana, E;   89 Campbell, PJ;   90 López-Bigas, N;
91 Weischenfeldt, J;   92 Beroukhim, R;   93 Martincorena, I;
94 Pedersen, JS;   95 Getz, G;   96 PCAWG Structural Variation Working Group, ;
97 PCAWG Consortium, ;