SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Stein JL) "

Search: WFRF:(Stein JL)

  • Result 61-70 of 72
Sort/group result
   
EnumerationReferenceCoverFind
61.
  • Rheinbay, E, et al. (author)
  • Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
  • 2020
  • In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 578:7793, s. 102-
  • Journal article (peer-reviewed)abstract
    • The discovery of drivers of cancer has traditionally focused on protein-coding genes1–4. Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium5 of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). For point mutations, we developed a statistically rigorous strategy for combining significance levels from multiple methods of driver discovery that overcomes the limitations of individual methods. For structural variants, we present two methods of driver discovery, and identify regions that are significantly affected by recurrent breakpoints and recurrent somatic juxtapositions. Our analyses confirm previously reported drivers6,7, raise doubts about others and identify novel candidates, including point mutations in the 5′ region of TP53, in the 3′ untranslated regions of NFKBIZ and TOB1, focal deletions in BRD4 and rearrangements in the loci of AKR1C genes. We show that although point mutations and structural variants that drive cancer are less frequent in non-coding genes and regulatory sequences than in protein-coding genes, additional examples of these drivers will be found as more cancer genomes become available.
  •  
62.
  •  
63.
  •  
64.
  •  
65.
  •  
66.
  •  
67.
  • Yakneen, S, et al. (author)
  • Butler enables rapid cloud-based analysis of thousands of human genomes
  • 2020
  • In: Nature biotechnology. - : Springer Science and Business Media LLC. - 1546-1696 .- 1087-0156. ; 38:3, s. 288-
  • Journal article (peer-reviewed)abstract
    • We present Butler, a computational tool that facilitates large-scale genomic analyses on public and academic clouds. Butler includes innovative anomaly detection and self-healing functions that improve the efficiency of data processing and analysis by 43% compared with current approaches. Butler enabled processing of a 725-terabyte cancer genome dataset from the Pan-Cancer Analysis of Whole Genomes (PCAWG) project in a time-efficient and uniform manner.
  •  
68.
  •  
69.
  •  
70.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 61-70 of 72
Type of publication
journal article (70)
conference paper (1)
research review (1)
Type of content
peer-reviewed (67)
other academic/artistic (5)
Author/Editor
Stein, DJ (37)
Jonas, JB (31)
Gupta, R. (29)
Shiri, R (29)
Brenner, H (26)
Sepanlou, SG (26)
show more...
Malekzadeh, R (25)
Lotufo, PA (24)
Farzadfar, F (23)
Khader, YS (23)
Topor-Madry, R (23)
Panda-Jonas, S (22)
Silva, DAS (22)
Mokdad, AH (21)
Bensenor, IM (20)
Bhutta, ZA (20)
Fischer, F (20)
Islam, SMS (20)
Mckee, M (20)
Monasta, L (20)
Nagel, G (20)
Nangia, V (20)
Shaikh, MA (20)
Shibuya, K (20)
Venketasubramanian, ... (20)
Banach, M (19)
Gill, TK (19)
Khang, YH (19)
Lee, PH (19)
Meretoja, A (19)
Ronfani, L (19)
Sachdev, PS (19)
Santos, IS (19)
Schutte, AE (19)
Singh, JA (19)
Vos, T (19)
Barker-Collo, SL (18)
Davletov, K (18)
Djalalinia, S (18)
Hankey, GJ (18)
Hay, SI (18)
Majeed, A (18)
Malta, DC (18)
Miller, TR (18)
Mohammadifard, N (18)
Oh, IH (18)
Roshandel, G (18)
Shigematsu, M (18)
Tabares-Seisdedos, R (18)
Thankappan, KR (18)
show less...
University
Karolinska Institutet (70)
Uppsala University (28)
University of Gothenburg (21)
Lund University (21)
Högskolan Dalarna (15)
Umeå University (10)
show more...
University of Skövde (5)
Chalmers University of Technology (3)
Stockholm University (1)
Örebro University (1)
Stockholm School of Economics (1)
Mid Sweden University (1)
Södertörn University (1)
show less...
Language
English (72)
Research subject (UKÄ/SCB)
Medical and Health Sciences (40)
Natural sciences (3)
Social Sciences (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view