191 related articles for article (PubMed ID: 24240688)
21. Integrative identification of Epstein-Barr virus-associated mutations and epigenetic alterations in gastric cancer.
Liang Q; Yao X; Tang S; Zhang J; Yau TO; Li X; Tang CM; Kang W; Lung RW; Li JW; Chan TF; Xing R; Lu Y; Lo KW; Wong N; To KF; Yu C; Chan FK; Sung JJ; Yu J
Gastroenterology; 2014 Dec; 147(6):1350-62.e4. PubMed ID: 25173755
[TBL] [Abstract][Full Text] [Related]
22. An Efficient Method for Identifying Gene Fusions by Targeted RNA Sequencing from Fresh Frozen and FFPE Samples.
Scolnick JA; Dimon M; Wang IC; Huelga SC; Amorese DA
PLoS One; 2015; 10(7):e0128916. PubMed ID: 26132974
[TBL] [Abstract][Full Text] [Related]
23. Recent advances in cancer fusion transcript detection.
Dorney R; Dhungel BP; Rasko JEJ; Hebbard L; Schmitz U
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36527429
[TBL] [Abstract][Full Text] [Related]
24. Hypermethylation of XIAP-associated factor 1, a putative tumor suppressor gene from the 17p13.2 locus, in human gastric adenocarcinomas.
Byun DS; Cho K; Ryu BK; Lee MG; Kang MJ; Kim HR; Chi SG
Cancer Res; 2003 Nov; 63(21):7068-75. PubMed ID: 14612497
[TBL] [Abstract][Full Text] [Related]
25. FuGePrior: A novel gene fusion prioritization algorithm based on accurate fusion structure analysis in cancer RNA-seq samples.
Paciello G; Ficarra E
BMC Bioinformatics; 2017 Jan; 18(1):58. PubMed ID: 28114882
[TBL] [Abstract][Full Text] [Related]
26. FUSIM: a software tool for simulating fusion transcripts.
Bruno AE; Miecznikowski JC; Qin M; Wang J; Liu S
BMC Bioinformatics; 2013 Jan; 14():13. PubMed ID: 23323884
[TBL] [Abstract][Full Text] [Related]
27. Identification and expression profiling of Vigna mungo microRNAs from leaf small RNA transcriptome by deep sequencing.
Paul S; Kundu A; Pal A
J Integr Plant Biol; 2014 Jan; 56(1):15-23. PubMed ID: 24138283
[TBL] [Abstract][Full Text] [Related]
28. Long noncoding RNAs in spermatogenesis: insights from recent high-throughput transcriptome studies.
Luk AC; Chan WY; Rennert OM; Lee TL
Reproduction; 2014 May; 147(5):R131-41. PubMed ID: 24713396
[TBL] [Abstract][Full Text] [Related]
29. ChildSeq-RNA: A next-generation sequencing-based diagnostic assay to identify known fusion transcripts in childhood sarcomas.
Qadir MA; Zhan SH; Kwok B; Bruestle J; Drees B; Popescu OE; Sorensen PH
J Mol Diagn; 2014 May; 16(3):361-70. PubMed ID: 24517889
[TBL] [Abstract][Full Text] [Related]
30. Deep transcriptome profiling of ovarian cancer cells using next-generation sequencing approach.
Li L; Liu J; Yu W; Lou X; Huang B; Lin B
Methods Mol Biol; 2013; 1049():139-69. PubMed ID: 23913215
[TBL] [Abstract][Full Text] [Related]
31. Viral-human chimeric transcript predisposes risk to liver cancer development and progression.
Lau CC; Sun T; Ching AK; He M; Li JW; Wong AM; Co NN; Chan AW; Li PS; Lung RW; Tong JH; Lai PB; Chan HL; To KF; Chan TF; Wong N
Cancer Cell; 2014 Mar; 25(3):335-49. PubMed ID: 24582836
[TBL] [Abstract][Full Text] [Related]
32. Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions.
Shugay M; Ortiz de Mendíbil I; Vizmanos JL; Novo FJ
Bioinformatics; 2013 Oct; 29(20):2539-46. PubMed ID: 23956304
[TBL] [Abstract][Full Text] [Related]
33. Genion, an accurate tool to detect gene fusion from long transcriptomics reads.
Karaoglanoglu F; Chauve C; Hach F
BMC Genomics; 2022 Feb; 23(1):129. PubMed ID: 35164688
[TBL] [Abstract][Full Text] [Related]
34. Transcriptional consequences of genomic structural aberrations in breast cancer.
Inaki K; Hillmer AM; Ukil L; Yao F; Woo XY; Vardy LA; Zawack KF; Lee CW; Ariyaratne PN; Chan YS; Desai KV; Bergh J; Hall P; Putti TC; Ong WL; Shahab A; Cacheux-Rataboul V; Karuturi RK; Sung WK; Ruan X; Bourque G; Ruan Y; Liu ET
Genome Res; 2011 May; 21(5):676-87. PubMed ID: 21467264
[TBL] [Abstract][Full Text] [Related]
35. Identification of candidate neoantigens produced by fusion transcripts in human osteosarcomas.
Rathe SK; Popescu FE; Johnson JE; Watson AL; Marko TA; Moriarity BS; Ohlfest JR; Largaespada DA
Sci Rep; 2019 Jan; 9(1):358. PubMed ID: 30674975
[TBL] [Abstract][Full Text] [Related]
36. Improved detection of gene fusions by applying statistical methods reveals oncogenic RNA cancer drivers.
Dehghannasiri R; Freeman DE; Jordanski M; Hsieh GL; Damljanovic A; Lehnert E; Salzman J
Proc Natl Acad Sci U S A; 2019 Jul; 116(31):15524-15533. PubMed ID: 31308241
[TBL] [Abstract][Full Text] [Related]
37. RWCFusion: identifying phenotype-specific cancer driver gene fusions based on fusion pair random walk scoring method.
Zhao J; Li X; Yao Q; Li M; Zhang J; Ai B; Liu W; Wang Q; Feng C; Liu Y; Bai X; Song C; Li S; Li E; Xu L; Li C
Oncotarget; 2016 Sep; 7(38):61054-61068. PubMed ID: 27506935
[TBL] [Abstract][Full Text] [Related]
38. TumorFusions: an integrative resource for cancer-associated transcript fusions.
Hu X; Wang Q; Tang M; Barthel F; Amin S; Yoshihara K; Lang FM; Martinez-Ledesma E; Lee SH; Zheng S; Verhaak RGW
Nucleic Acids Res; 2018 Jan; 46(D1):D1144-D1149. PubMed ID: 29099951
[TBL] [Abstract][Full Text] [Related]
39. Regional perturbation of gene transcription is associated with intrachromosomal rearrangements and gene fusion transcripts in high grade ovarian cancer.
Krzyzanowski PM; Sircoulomb F; Yousif F; Normand J; La Rose J; E Francis K; Suarez F; Beck T; McPherson JD; Stein LD; Rottapel RK
Sci Rep; 2019 Mar; 9(1):3590. PubMed ID: 30837567
[TBL] [Abstract][Full Text] [Related]
40. Molecular heterogeneity in the novel fusion gene
Okuda T; Taki T; Nishida K; Chinen Y; Nagoshi H; Sakakura C; Taniwaki M
Oncol Lett; 2017 Jan; 13(1):215-221. PubMed ID: 28123544
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]