284 related articles for article (PubMed ID: 31584621)
1. Meltos: multi-sample tumor phylogeny reconstruction for structural variants.
Ricketts C; Seidman D; Popic V; Hormozdiari F; Batzoglou S; Hajirasouliha I
Bioinformatics; 2020 Feb; 36(4):1082-1090. PubMed ID: 31584621
[TBL] [Abstract][Full Text] [Related]
2. SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing.
Rozhoňová H; Danciu D; Stark S; Rätsch G; Kahles A; Lehmann KV
Bioinformatics; 2022 Sep; 38(18):4293-4300. PubMed ID: 35900151
[TBL] [Abstract][Full Text] [Related]
3. SV-Bay: structural variant detection in cancer genomes using a Bayesian approach with correction for GC-content and read mappability.
Iakovishina D; Janoueix-Lerosey I; Barillot E; Regnier M; Boeva V
Bioinformatics; 2016 Apr; 32(7):984-92. PubMed ID: 26740523
[TBL] [Abstract][Full Text] [Related]
4. SVJedi: genotyping structural variations with long reads.
Lecompte L; Peterlongo P; Lavenier D; Lemaitre C
Bioinformatics; 2020 Nov; 36(17):4568-4575. PubMed ID: 32437523
[TBL] [Abstract][Full Text] [Related]
5. Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations.
Fu X; Lei H; Tao Y; Schwartz R
Bioinformatics; 2022 Jun; 38(Suppl 1):i125-i133. PubMed ID: 35758777
[TBL] [Abstract][Full Text] [Related]
6. svpluscnv: analysis and visualization of complex structural variation data.
Lopez G; Egolf LE; Giorgi FM; Diskin SJ; Margolin AA
Bioinformatics; 2021 Jul; 37(13):1912-1914. PubMed ID: 33051644
[TBL] [Abstract][Full Text] [Related]
7. SVExpress: identifying gene features altered recurrently in expression with nearby structural variant breakpoints.
Zhang Y; Chen F; Creighton CJ
BMC Bioinformatics; 2021 Mar; 22(1):135. PubMed ID: 33743584
[TBL] [Abstract][Full Text] [Related]
8. SVPV: a structural variant prediction viewer for paired-end sequencing datasets.
Munro JE; Dunwoodie SL; Giannoulatou E
Bioinformatics; 2017 Jul; 33(13):2032-2033. PubMed ID: 28334120
[TBL] [Abstract][Full Text] [Related]
9. SNV-PPILP: refined SNV calling for tumor data using perfect phylogenies and ILP.
van Rens KE; Mäkinen V; Tomescu AI
Bioinformatics; 2015 Apr; 31(7):1133-5. PubMed ID: 25398608
[TBL] [Abstract][Full Text] [Related]
10. Seeksv: an accurate tool for somatic structural variation and virus integration detection.
Liang Y; Qiu K; Liao B; Zhu W; Huang X; Li L; Chen X; Li K
Bioinformatics; 2017 Jan; 33(2):184-191. PubMed ID: 27634948
[TBL] [Abstract][Full Text] [Related]
11. GASOLINE: detecting germline and somatic structural variants from long-reads data.
Magi A; Mattei G; Mingrino A; Caprioli C; Ronchini C; Frigè G; Semeraro R; Baragli M; Bolognini D; Colombo E; Mazzarella L; Pelicci PG
Sci Rep; 2023 Nov; 13(1):20817. PubMed ID: 38012350
[TBL] [Abstract][Full Text] [Related]
12. Parliament2: Accurate structural variant calling at scale.
Zarate S; Carroll A; Mahmoud M; Krasheninina O; Jun G; Salerno WJ; Schatz MC; Boerwinkle E; Gibbs RA; Sedlazeck FJ
Gigascience; 2020 Dec; 9(12):. PubMed ID: 33347570
[TBL] [Abstract][Full Text] [Related]
13. NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing data.
Linderman MD; Paudyal C; Shakeel M; Kelley W; Bashir A; Gelb BD
Gigascience; 2021 Jul; 10(7):. PubMed ID: 34195837
[TBL] [Abstract][Full Text] [Related]
14. Deconvolution and phylogeny inference of structural variations in tumor genomic samples.
Eaton J; Wang J; Schwartz R
Bioinformatics; 2018 Jul; 34(13):i357-i365. PubMed ID: 29950001
[TBL] [Abstract][Full Text] [Related]
15. NPSV-deep: a deep learning method for genotyping structural variants in short read genome sequencing data.
Linderman MD; Wallace J; van der Heyde A; Wieman E; Brey D; Shi Y; Hansen P; Shamsi Z; Liu J; Gelb BD; Bashir A
Bioinformatics; 2024 Mar; 40(3):. PubMed ID: 38444093
[TBL] [Abstract][Full Text] [Related]
16. Whole-genome sequencing with long reads reveals complex structure and origin of structural variation in human genetic variations and somatic mutations in cancer.
Fujimoto A; Wong JH; Yoshii Y; Akiyama S; Tanaka A; Yagi H; Shigemizu D; Nakagawa H; Mizokami M; Shimada M
Genome Med; 2021 Apr; 13(1):65. PubMed ID: 33910608
[TBL] [Abstract][Full Text] [Related]
17. RAPTR-SV: a hybrid method for the detection of structural variants.
Bickhart DM; Hutchison JL; Xu L; Schnabel RD; Taylor JF; Reecy JM; Schroeder S; Van Tassell CP; Sonstegard TS; Liu GE
Bioinformatics; 2015 Jul; 31(13):2084-90. PubMed ID: 25686638
[TBL] [Abstract][Full Text] [Related]
18. FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods.
Becker T; Lee WP; Leone J; Zhu Q; Zhang C; Liu S; Sargent J; Shanker K; Mil-Homens A; Cerveira E; Ryan M; Cha J; Navarro FCP; Galeev T; Gerstein M; Mills RE; Shin DG; Lee C; Malhotra A
Genome Biol; 2018 Mar; 19(1):38. PubMed ID: 29559002
[TBL] [Abstract][Full Text] [Related]
19. Discovery of tandem and interspersed segmental duplications using high-throughput sequencing.
Soylev A; Le TM; Amini H; Alkan C; Hormozdiari F
Bioinformatics; 2019 Oct; 35(20):3923-3930. PubMed ID: 30937433
[TBL] [Abstract][Full Text] [Related]
20. Inferring clonal evolution of tumors from single nucleotide somatic mutations.
Jiao W; Vembu S; Deshwar AG; Stein L; Morris Q
BMC Bioinformatics; 2014 Feb; 15():35. PubMed ID: 24484323
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]