694 related articles for article (PubMed ID: 22228021)
21. Deep sequencing in cancer research.
Yoshida K; Sanada M; Ogawa S
Jpn J Clin Oncol; 2013 Feb; 43(2):110-5. PubMed ID: 23225907
[TBL] [Abstract][Full Text] [Related]
22. Representing genetic variation with synthetic DNA standards.
Deveson IW; Chen WY; Wong T; Hardwick SA; Andersen SB; Nielsen LK; Mattick JS; Mercer TR
Nat Methods; 2016 Sep; 13(9):784-91. PubMed ID: 27502217
[TBL] [Abstract][Full Text] [Related]
23. The complete genome of an individual by massively parallel DNA sequencing.
Wheeler DA; Srinivasan M; Egholm M; Shen Y; Chen L; McGuire A; He W; Chen YJ; Makhijani V; Roth GT; Gomes X; Tartaro K; Niazi F; Turcotte CL; Irzyk GP; Lupski JR; Chinault C; Song XZ; Liu Y; Yuan Y; Nazareth L; Qin X; Muzny DM; Margulies M; Weinstock GM; Gibbs RA; Rothberg JM
Nature; 2008 Apr; 452(7189):872-6. PubMed ID: 18421352
[TBL] [Abstract][Full Text] [Related]
24. Building a genome analysis pipeline to predict disease risk and prevent disease.
Bromberg Y
J Mol Biol; 2013 Nov; 425(21):3993-4005. PubMed ID: 23928561
[TBL] [Abstract][Full Text] [Related]
25. The challenges of studying complex and dynamic regions of the human genome.
Hollox EJ
Methods Mol Biol; 2012; 838():187-207. PubMed ID: 22228013
[TBL] [Abstract][Full Text] [Related]
26. Use of Next Generation Sequencing (NGS) technologies for the genome-wide detection of transposition.
Elbaidouri M; Chaparro C; Panaud O
Methods Mol Biol; 2013; 1057():265-74. PubMed ID: 23918435
[TBL] [Abstract][Full Text] [Related]
27. Key principles and clinical applications of "next-generation" DNA sequencing.
Rizzo JM; Buck MJ
Cancer Prev Res (Phila); 2012 Jul; 5(7):887-900. PubMed ID: 22617168
[TBL] [Abstract][Full Text] [Related]
28. A remark on copy number variation detection methods.
Li S; Dou X; Gao R; Ge X; Qian M; Wan L
PLoS One; 2018; 13(4):e0196226. PubMed ID: 29702671
[TBL] [Abstract][Full Text] [Related]
29. Copy Number Variations Detection: Unravelling the Problem in Tangible Aspects.
do Nascimento F; Guimaraes KS
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(6):1237-1250. PubMed ID: 27295681
[TBL] [Abstract][Full Text] [Related]
30. OncoSNP-SEQ: a statistical approach for the identification of somatic copy number alterations from next-generation sequencing of cancer genomes.
Yau C
Bioinformatics; 2013 Oct; 29(19):2482-4. PubMed ID: 23926227
[TBL] [Abstract][Full Text] [Related]
31. Pathogen comparative genomics in the next-generation sequencing era: genome alignments, pangenomics and metagenomics.
Hu B; Xie G; Lo CC; Starkenburg SR; Chain PS
Brief Funct Genomics; 2011 Nov; 10(6):322-33. PubMed ID: 22199376
[TBL] [Abstract][Full Text] [Related]
32. Genomic tools for characterizing monogenic and polygenic traits in ruminants--using the bovine as an example.
Taylor JF; Chapple RH; Decker JE; Gregg SJ; Kim JW; McKay SD; Ramey HR; Rolf MM; Taxis TM; Schnabel RD
Soc Reprod Fertil Suppl; 2010; 67():13-28. PubMed ID: 21755660
[TBL] [Abstract][Full Text] [Related]
33. A glimpse into past, present, and future DNA sequencing.
Morey M; Fernández-Marmiesse A; Castiñeiras D; Fraga JM; Couce ML; Cocho JA
Mol Genet Metab; 2013; 110(1-2):3-24. PubMed ID: 23742747
[TBL] [Abstract][Full Text] [Related]
34. Whole-exome/genome sequencing and genomics.
Grody WW; Thompson BH; Hudgins L
Pediatrics; 2013 Dec; 132(Suppl 3):S211-5. PubMed ID: 24298129
[TBL] [Abstract][Full Text] [Related]
35. Impacts of variation in the human genome on gene regulation.
Haraksingh RR; Snyder MP
J Mol Biol; 2013 Nov; 425(21):3970-7. PubMed ID: 23871684
[TBL] [Abstract][Full Text] [Related]
36. Computational methods for discovering structural variation with next-generation sequencing.
Medvedev P; Stanciu M; Brudno M
Nat Methods; 2009 Nov; 6(11 Suppl):S13-20. PubMed ID: 19844226
[TBL] [Abstract][Full Text] [Related]
37. Massively parallel sequencing approaches for characterization of structural variation.
Koboldt DC; Larson DE; Chen K; Ding L; Wilson RK
Methods Mol Biol; 2012; 838():369-84. PubMed ID: 22228022
[TBL] [Abstract][Full Text] [Related]
38. Structural variation discovery in the cancer genome using next generation sequencing: computational solutions and perspectives.
Liu B; Conroy JM; Morrison CD; Odunsi AO; Qin M; Wei L; Trump DL; Johnson CS; Liu S; Wang J
Oncotarget; 2015 Mar; 6(8):5477-89. PubMed ID: 25849937
[TBL] [Abstract][Full Text] [Related]
39. How to infer reliable diploid genotypes from NGS or traditional sequence data: from basic probability to experimental optimization.
Chenuil A
J Evol Biol; 2012 May; 25(5):949-60. PubMed ID: 22420488
[TBL] [Abstract][Full Text] [Related]
40. Perspectives for identification of mutations in the zebrafish: making use of next-generation sequencing technologies for forward genetic approaches.
Henke K; Bowen ME; Harris MP
Methods; 2013 Aug; 62(3):185-96. PubMed ID: 23748111
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]