373 related articles for article (PubMed ID: 30786880)
1. SEQprocess: a modularized and customizable pipeline framework for NGS processing in R package.
Joo T; Choi JH; Lee JH; Park SE; Jeon Y; Jung SH; Woo HG
BMC Bioinformatics; 2019 Feb; 20(1):90. PubMed ID: 30786880
[TBL] [Abstract][Full Text] [Related]
2. systemPipeR: NGS workflow and report generation environment.
H Backman TW; Girke T
BMC Bioinformatics; 2016 Sep; 17():388. PubMed ID: 27650223
[TBL] [Abstract][Full Text] [Related]
3. CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing.
An O; Tan KT; Li Y; Li J; Wu CS; Zhang B; Chen L; Yang H
Int J Mol Sci; 2020 May; 21(11):. PubMed ID: 32481589
[TBL] [Abstract][Full Text] [Related]
4. DolphinNext: a distributed data processing platform for high throughput genomics.
Yukselen O; Turkyilmaz O; Ozturk AR; Garber M; Kucukural A
BMC Genomics; 2020 Apr; 21(1):310. PubMed ID: 32306927
[TBL] [Abstract][Full Text] [Related]
5. Challenges in exome analysis by LifeScope and its alternative computational pipelines.
Pranckevičiene E; Rančelis T; Pranculis A; Kučinskas V
BMC Res Notes; 2015 Sep; 8():421. PubMed ID: 26346699
[TBL] [Abstract][Full Text] [Related]
6. RUbioSeq+: A multiplatform application that executes parallelized pipelines to analyse next-generation sequencing data.
Rubio-Camarillo M; López-Fernández H; Gómez-López G; Carro Á; Fernández JM; Torre CF; Fdez-Riverola F; Glez-Peña D
Comput Methods Programs Biomed; 2017 Jan; 138():73-81. PubMed ID: 27886717
[TBL] [Abstract][Full Text] [Related]
7. NEAT: a framework for building fully automated NGS pipelines and analyses.
Schorderet P
BMC Bioinformatics; 2016 Feb; 17():53. PubMed ID: 26830846
[TBL] [Abstract][Full Text] [Related]
8. NGSpop: A desktop software that supports population studies by identifying sequence variations from next-generation sequencing data.
Lee DJ; Kwon T; Lee HJ; Oh YH; Kim JH; Lee TH
PLoS One; 2022; 17(11):e0260908. PubMed ID: 36395265
[TBL] [Abstract][Full Text] [Related]
9. NGS_SNPAnalyzer: a desktop software supporting genome projects by identifying and visualizing sequence variations from next-generation sequencing data.
Lee DJ; Kwon T; Kim CK; Seol YJ; Park DS; Lee TH; Ahn BO
Genes Genomics; 2020 Nov; 42(11):1311-1317. PubMed ID: 32980993
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatic data processing pipelines in support of next-generation sequencing-based HIV drug resistance testing: the Winnipeg Consensus.
Ji H; Enns E; Brumme CJ; Parkin N; Howison M; Lee ER; Capina R; Marinier E; Avila-Rios S; Sandstrom P; Van Domselaar G; Harrigan R; Paredes R; Kantor R; Noguera-Julian M
J Int AIDS Soc; 2018 Oct; 21(10):e25193. PubMed ID: 30350345
[TBL] [Abstract][Full Text] [Related]
11. Validation and assessment of variant calling pipelines for next-generation sequencing.
Pirooznia M; Kramer M; Parla J; Goes FS; Potash JB; McCombie WR; Zandi PP
Hum Genomics; 2014 Jul; 8(1):14. PubMed ID: 25078893
[TBL] [Abstract][Full Text] [Related]
12. Comparison of seven SNP calling pipelines for the next-generation sequencing data of chickens.
Liu J; Shen Q; Bao H
PLoS One; 2022; 17(1):e0262574. PubMed ID: 35100292
[TBL] [Abstract][Full Text] [Related]
13. Variant callers for next-generation sequencing data: a comparison study.
Liu X; Han S; Wang Z; Gelernter J; Yang BZ
PLoS One; 2013; 8(9):e75619. PubMed ID: 24086590
[TBL] [Abstract][Full Text] [Related]
14. Systematic comparison of germline variant calling pipelines cross multiple next-generation sequencers.
Chen J; Li X; Zhong H; Meng Y; Du H
Sci Rep; 2019 Jun; 9(1):9345. PubMed ID: 31249349
[TBL] [Abstract][Full Text] [Related]
15. Bio-Docklets: virtualization containers for single-step execution of NGS pipelines.
Kim B; Ali T; Lijeron C; Afgan E; Krampis K
Gigascience; 2017 Aug; 6(8):1-7. PubMed ID: 28854616
[TBL] [Abstract][Full Text] [Related]
16. Impact of post-alignment processing in variant discovery from whole exome data.
Tian S; Yan H; Kalmbach M; Slager SL
BMC Bioinformatics; 2016 Oct; 17(1):403. PubMed ID: 27716037
[TBL] [Abstract][Full Text] [Related]
17. NGS-pipe: a flexible, easily extendable and highly configurable framework for NGS analysis.
Singer J; Ruscheweyh HJ; Hofmann AL; Thurnherr T; Singer F; Toussaint NC; Ng CKY; Piscuoglio S; Beisel C; Christofori G; Dummer R; Hall MN; Krek W; Levesque MP; Manz MG; Moch H; Papassotiropoulos A; Stekhoven DJ; Wild P; Wüst T; Rinn B; Beerenwinkel N
Bioinformatics; 2018 Jan; 34(1):107-108. PubMed ID: 28968639
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive fundamental somatic variant calling and quality management strategies for human cancer genomes.
He X; Chen S; Li R; Han X; He Z; Yuan D; Zhang S; Duan X; Niu B
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32510555
[TBL] [Abstract][Full Text] [Related]
19. AMLVaran: a software approach to implement variant analysis of targeted NGS sequencing data in an oncological care setting.
Wünsch C; Banck H; Müller-Tidow C; Dugas M
BMC Med Genomics; 2020 Feb; 13(1):17. PubMed ID: 32019565
[TBL] [Abstract][Full Text] [Related]
20. Closha: bioinformatics workflow system for the analysis of massive sequencing data.
Ko G; Kim PG; Yoon J; Han G; Park SJ; Song W; Lee B
BMC Bioinformatics; 2018 Feb; 19(Suppl 1):43. PubMed ID: 29504905
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]