204 related articles for article (PubMed ID: 35726091)
1. Genome-wide mapping of somatic mutation rates uncovers drivers of cancer.
Sherman MA; Yaari AU; Priebe O; Dietlein F; Loh PR; Berger B
Nat Biotechnol; 2022 Nov; 40(11):1634-1643. PubMed ID: 35726091
[TBL] [Abstract][Full Text] [Related]
2. OncodriveFML: a general framework to identify coding and non-coding regions with cancer driver mutations.
Mularoni L; Sabarinathan R; Deu-Pons J; Gonzalez-Perez A; López-Bigas N
Genome Biol; 2016 Jun; 17(1):128. PubMed ID: 27311963
[TBL] [Abstract][Full Text] [Related]
3. CNCDatabase: a database of non-coding cancer drivers.
Liu EM; Martinez-Fundichely A; Bollapragada R; Spiewack M; Khurana E
Nucleic Acids Res; 2021 Jan; 49(D1):D1094-D1101. PubMed ID: 33095860
[TBL] [Abstract][Full Text] [Related]
4. Identification of coding and non-coding mutational hotspots in cancer genomes.
Piraino SW; Furney SJ
BMC Genomics; 2017 Jan; 18(1):17. PubMed ID: 28056774
[TBL] [Abstract][Full Text] [Related]
5. Association of mutation signature effectuating processes with mutation hotspots in driver genes and non-coding regions.
Wong JKL; Aichmüller C; Schulze M; Hlevnjak M; Elgaafary S; Lichter P; Zapatka M
Nat Commun; 2022 Jan; 13(1):178. PubMed ID: 35013316
[TBL] [Abstract][Full Text] [Related]
6. NIMBus: a negative binomial regression based Integrative Method for mutation Burden Analysis.
Zhang J; Liu J; McGillivray P; Yi C; Lochovsky L; Lee D; Gerstein M
BMC Bioinformatics; 2020 Oct; 21(1):474. PubMed ID: 33092526
[TBL] [Abstract][Full Text] [Related]
7. Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Rheinbay E; Nielsen MM; Abascal F; Wala JA; Shapira O; Tiao G; Hornshøj H; Hess JM; Juul RI; Lin Z; Feuerbach L; Sabarinathan R; Madsen T; Kim J; Mularoni L; Shuai S; Lanzós A; Herrmann C; Maruvka YE; Shen C; Amin SB; Bandopadhayay P; Bertl J; Boroevich KA; Busanovich J; Carlevaro-Fita J; Chakravarty D; Chan CWY; Craft D; Dhingra P; Diamanti K; Fonseca NA; Gonzalez-Perez A; Guo Q; Hamilton MP; Haradhvala NJ; Hong C; Isaev K; Johnson TA; Juul M; Kahles A; Kahraman A; Kim Y; Komorowski J; Kumar K; Kumar S; Lee D; Lehmann KV; Li Y; Liu EM; Lochovsky L; Park K; Pich O; Roberts ND; Saksena G; Schumacher SE; Sidiropoulos N; Sieverling L; Sinnott-Armstrong N; Stewart C; Tamborero D; Tubio JMC; Umer HM; Uusküla-Reimand L; Wadelius C; Wadi L; Yao X; Zhang CZ; Zhang J; Haber JE; Hobolth A; Imielinski M; Kellis M; Lawrence MS; von Mering C; Nakagawa H; Raphael BJ; Rubin MA; Sander C; Stein LD; Stuart JM; Tsunoda T; Wheeler DA; Johnson R; Reimand J; Gerstein M; Khurana E; Campbell PJ; López-Bigas N; ; ; Weischenfeldt J; Beroukhim R; Martincorena I; Pedersen JS; Getz G;
Nature; 2020 Feb; 578(7793):102-111. PubMed ID: 32025015
[TBL] [Abstract][Full Text] [Related]
8. Differential DNA repair underlies mutation hotspots at active promoters in cancer genomes.
Perera D; Poulos RC; Shah A; Beck D; Pimanda JE; Wong JW
Nature; 2016 Apr; 532(7598):259-63. PubMed ID: 27075100
[TBL] [Abstract][Full Text] [Related]
9. Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks.
Zhu H; Uusküla-Reimand L; Isaev K; Wadi L; Alizada A; Shuai S; Huang V; Aduluso-Nwaobasi D; Paczkowska M; Abd-Rabbo D; Ocsenas O; Liang M; Thompson JD; Li Y; Ruan L; Krassowski M; Dzneladze I; Simpson JT; Lupien M; Stein LD; Boutros PC; Wilson MD; Reimand J
Mol Cell; 2020 Mar; 77(6):1307-1321.e10. PubMed ID: 31954095
[TBL] [Abstract][Full Text] [Related]
10. Cancer regulatory variation.
Hennessey RC; Brown KM
Curr Opin Genet Dev; 2021 Feb; 66():41-49. PubMed ID: 33422949
[TBL] [Abstract][Full Text] [Related]
11. Genome-wide Mutation Rate Modeling Identifies Novel Driver Mutations.
Cancer Discov; 2022 Aug; 12(8):1837. PubMed ID: 35775816
[TBL] [Abstract][Full Text] [Related]
12. Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer.
Narayan S; Bader GD; Reimand J
Genome Med; 2016 May; 8(1):55. PubMed ID: 27175787
[TBL] [Abstract][Full Text] [Related]
13. LARVA: an integrative framework for large-scale analysis of recurrent variants in noncoding annotations.
Lochovsky L; Zhang J; Fu Y; Khurana E; Gerstein M
Nucleic Acids Res; 2015 Sep; 43(17):8123-34. PubMed ID: 26304545
[TBL] [Abstract][Full Text] [Related]
14. Domain landscapes of somatic mutations in cancer.
Nehrt NL; Peterson TA; Park D; Kann MG
BMC Genomics; 2012 Jun; 13 Suppl 4(Suppl 4):S9. PubMed ID: 22759657
[TBL] [Abstract][Full Text] [Related]
15. MutEnricher: a flexible toolset for somatic mutation enrichment analysis of tumor whole genomes.
Soltis AR; Dalgard CL; Pollard HB; Wilkerson MD
BMC Bioinformatics; 2020 Jul; 21(1):338. PubMed ID: 32736515
[TBL] [Abstract][Full Text] [Related]
16. Estimating the Frequency of Single Point Driver Mutations across Common Solid Tumours.
Darbyshire M; du Toit Z; Rogers MF; Gaunt TR; Campbell C
Sci Rep; 2019 Sep; 9(1):13452. PubMed ID: 31530827
[TBL] [Abstract][Full Text] [Related]
17. Universal Patterns of Selection in Cancer and Somatic Tissues.
Martincorena I; Raine KM; Gerstung M; Dawson KJ; Haase K; Van Loo P; Davies H; Stratton MR; Campbell PJ
Cell; 2017 Nov; 171(5):1029-1041.e21. PubMed ID: 29056346
[TBL] [Abstract][Full Text] [Related]
18. A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data.
Bertl J; Guo Q; Juul M; Besenbacher S; Nielsen MM; Hornshøj H; Pedersen JS; Hobolth A
BMC Bioinformatics; 2018 Apr; 19(1):147. PubMed ID: 29673314
[TBL] [Abstract][Full Text] [Related]
19. Beyond the exome: the role of non-coding somatic mutations in cancer.
Piraino SW; Furney SJ
Ann Oncol; 2016 Feb; 27(2):240-8. PubMed ID: 26598542
[TBL] [Abstract][Full Text] [Related]
20. QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency.
Bokhari Y; Alhareeri A; Arodz T
BMC Bioinformatics; 2020 Mar; 21(1):122. PubMed ID: 32293263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]