169 related articles for article (PubMed ID: 31218349)
1. svtools: population-scale analysis of structural variation.
Larson DE; Abel HJ; Chiang C; Badve A; Das I; Eldred JM; Layer RM; Hall IM
Bioinformatics; 2019 Nov; 35(22):4782-4787. PubMed ID: 31218349
[TBL] [Abstract][Full Text] [Related]
2. Mapping and characterization of structural variation in 17,795 human genomes.
Abel HJ; Larson DE; Regier AA; Chiang C; Das I; Kanchi KL; Layer RM; Neale BM; Salerno WJ; Reeves C; Buyske S; ; Matise TC; Muzny DM; Zody MC; Lander ES; Dutcher SK; Stitziel NO; Hall IM
Nature; 2020 Jul; 583(7814):83-89. PubMed ID: 32460305
[TBL] [Abstract][Full Text] [Related]
3. SV2: accurate structural variation genotyping and de novo mutation detection from whole genomes.
Antaki D; Brandler WM; Sebat J
Bioinformatics; 2018 May; 34(10):1774-1777. PubMed ID: 29300834
[TBL] [Abstract][Full Text] [Related]
4. BreakPoint Surveyor: a pipeline for structural variant visualization.
Wyczalkowski MA; Wylie KM; Cao S; McLellan MD; Flynn J; Huang M; Ye K; Fan X; Chen K; Wendl MC; Ding L
Bioinformatics; 2017 Oct; 33(19):3121-3122. PubMed ID: 28582538
[TBL] [Abstract][Full Text] [Related]
5. MUM&Co: accurate detection of all SV types through whole-genome alignment.
O'Donnell S; Fischer G
Bioinformatics; 2020 May; 36(10):3242-3243. PubMed ID: 32096823
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. plotsr: visualizing structural similarities and rearrangements between multiple genomes.
Goel M; Schneeberger K
Bioinformatics; 2022 May; 38(10):2922-2926. PubMed ID: 35561173
[TBL] [Abstract][Full Text] [Related]
9. Population-based structural variation discovery with Hydra-Multi.
Lindberg MR; Hall IM; Quinlan AR
Bioinformatics; 2015 Apr; 31(8):1286-9. PubMed ID: 25527832
[TBL] [Abstract][Full Text] [Related]
10. HaploTypo: a variant-calling pipeline for phased genomes.
Pegueroles C; Mixão V; Carreté L; Molina M; Gabaldón T
Bioinformatics; 2020 Apr; 36(8):2569-2571. PubMed ID: 31834373
[TBL] [Abstract][Full Text] [Related]
11. SVScore: an impact prediction tool for structural variation.
Ganel L; Abel HJ; ; Hall IM
Bioinformatics; 2017 Apr; 33(7):1083-1085. PubMed ID: 28031184
[TBL] [Abstract][Full Text] [Related]
12. ConsensuSV-from the whole-genome sequencing data to the complete variant list.
Chiliński M; Plewczynski D
Bioinformatics; 2022 Dec; 38(24):5440-5442. PubMed ID: 36315072
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Structural Variant Detection from Long-Read Sequencing Data with cuteSV.
Jiang T; Liu S; Cao S; Wang Y
Methods Mol Biol; 2022; 2493():137-151. PubMed ID: 35751813
[TBL] [Abstract][Full Text] [Related]
16. MetaSV: an accurate and integrative structural-variant caller for next generation sequencing.
Mohiyuddin M; Mu JC; Li J; Bani Asadi N; Gerstein MB; Abyzov A; Wong WH; Lam HY
Bioinformatics; 2015 Aug; 31(16):2741-4. PubMed ID: 25861968
[TBL] [Abstract][Full Text] [Related]
17. SVmine improves structural variation detection by integrative mining of predictions from multiple algorithms.
Xia Y; Liu Y; Deng M; Xi R
Bioinformatics; 2017 Nov; 33(21):3348-3354. PubMed ID: 29036467
[TBL] [Abstract][Full Text] [Related]
18. iSVP: an integrated structural variant calling pipeline from high-throughput sequencing data.
Mimori T; Nariai N; Kojima K; Takahashi M; Ono A; Sato Y; Yamaguchi-Kabata Y; Nagasaki M
BMC Syst Biol; 2013; 7 Suppl 6(Suppl 6):S8. PubMed ID: 24564972
[TBL] [Abstract][Full Text] [Related]
19. Large scale microbiome profiling in the cloud.
Valdes C; Stebliankin V; Narasimhan G
Bioinformatics; 2019 Jul; 35(14):i13-i22. PubMed ID: 31510682
[TBL] [Abstract][Full Text] [Related]
20. MsPAC: a tool for haplotype-phased structural variant detection.
Rodriguez OL; Ritz A; Sharp AJ; Bashir A
Bioinformatics; 2020 Feb; 36(3):922-924. PubMed ID: 31397844
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]