168 related articles for article (PubMed ID: 32952600)
1. DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework.
Huang PJ; Chang JH; Lin HH; Li YX; Lee CC; Su CT; Li YL; Chang MT; Weng S; Cheng WH; Chiu CH; Tang P
Comput Math Methods Med; 2020; 2020():7231205. PubMed ID: 32952600
[TBL] [Abstract][Full Text] [Related]
2. Comparison of GATK and DeepVariant by trio sequencing.
Lin YL; Chang PC; Hsu C; Hung MZ; Chien YH; Hwu WL; Lai F; Lee NC
Sci Rep; 2022 Feb; 12(1):1809. PubMed ID: 35110657
[TBL] [Abstract][Full Text] [Related]
3. VC@Scale: Scalable and high-performance variant calling on cluster environments.
Ahmad T; Al Ars Z; Hofstee HP
Gigascience; 2021 Sep; 10(9):. PubMed ID: 34494101
[TBL] [Abstract][Full Text] [Related]
4. Inexpensive and Highly Reproducible Cloud-Based Variant Calling of 2,535 Human Genomes.
Shringarpure SS; Carroll A; De La Vega FM; Bustamante CD
PLoS One; 2015; 10(6):e0129277. PubMed ID: 26110529
[TBL] [Abstract][Full Text] [Related]
5. Accuracy and efficiency of germline variant calling pipelines for human genome data.
Zhao S; Agafonov O; Azab A; Stokowy T; Hovig E
Sci Rep; 2020 Nov; 10(1):20222. PubMed ID: 33214604
[TBL] [Abstract][Full Text] [Related]
6. Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services.
Krissaane I; De Niz C; Gutiérrez-Sacristán A; Korodi G; Ede N; Kumar R; Lyons J; Manrai A; Patel C; Kohane I; Avillach P
J Am Med Inform Assoc; 2020 Sep; 27(9):1425-1430. PubMed ID: 32719837
[TBL] [Abstract][Full Text] [Related]
7. dv-trio: a family-based variant calling pipeline using DeepVariant.
Ip EKK; Hadinata C; Ho JWK; Giannoulatou E
Bioinformatics; 2020 Jun; 36(11):3549-3551. PubMed ID: 32315409
[TBL] [Abstract][Full Text] [Related]
8. GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service.
Wang Y; Li G; Ma M; He F; Song Z; Zhang W; Wu C
BMC Genomics; 2018 Jan; 19(Suppl 1):959. PubMed ID: 29363427
[TBL] [Abstract][Full Text] [Related]
9. Comparison of calling pipelines for whole genome sequencing: an empirical study demonstrating the importance of mapping and alignment.
Betschart RO; Thiéry A; Aguilera-Garcia D; Zoche M; Moch H; Twerenbold R; Zeller T; Blankenberg S; Ziegler A
Sci Rep; 2022 Dec; 12(1):21502. PubMed ID: 36513709
[TBL] [Abstract][Full Text] [Related]
10. ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest.
Li J; Jew B; Zhan L; Hwang S; Coppola G; Freimer NB; Sul JH
PLoS Comput Biol; 2019 Dec; 15(12):e1007556. PubMed ID: 31851693
[TBL] [Abstract][Full Text] [Related]
11. BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data.
Ausmees K; John A; Toor SZ; Hellander A; Nettelblad C
BMC Bioinformatics; 2018 Jun; 19(1):240. PubMed ID: 29940842
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Distributed gene clinical decision support system based on cloud computing.
Xu B; Li C; Zhuang H; Wang J; Wang Q; Wang C; Zhou X
BMC Med Genomics; 2018 Nov; 11(Suppl 5):100. PubMed ID: 30454054
[TBL] [Abstract][Full Text] [Related]
14. A (fire)cloud-based DNA methylation data preprocessing and quality control platform.
Kangeyan D; Dunford A; Iyer S; Stewart C; Hanna M; Getz G; Aryee MJ
BMC Bioinformatics; 2019 Mar; 20(1):160. PubMed ID: 30922215
[TBL] [Abstract][Full Text] [Related]
15. Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq.
Li B; Gould J; Yang Y; Sarkizova S; Tabaka M; Ashenberg O; Rosen Y; Slyper M; Kowalczyk MS; Villani AC; Tickle T; Hacohen N; Rozenblatt-Rosen O; Regev A
Nat Methods; 2020 Aug; 17(8):793-798. PubMed ID: 32719530
[TBL] [Abstract][Full Text] [Related]
16. ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark.
Xiao A; Wu Z; Dong S
BMC Bioinformatics; 2019 Feb; 20(1):76. PubMed ID: 30764760
[TBL] [Abstract][Full Text] [Related]
17. GenomeVIP: a cloud platform for genomic variant discovery and interpretation.
Mashl RJ; Scott AD; Huang KL; Wyczalkowski MA; Yoon CJ; Niu B; DeNardo E; Yellapantula VD; Handsaker RE; Chen K; Koboldt DC; Ye K; Fenyö D; Raphael BJ; Wendl MC; Ding L
Genome Res; 2017 Aug; 27(8):1450-1459. PubMed ID: 28522612
[TBL] [Abstract][Full Text] [Related]
18. Comparison of three variant callers for human whole genome sequencing.
Supernat A; Vidarsson OV; Steen VM; Stokowy T
Sci Rep; 2018 Dec; 8(1):17851. PubMed ID: 30552369
[TBL] [Abstract][Full Text] [Related]
19. Accelerating genomic workflows using NVIDIA Parabricks.
O'Connell KA; Yosufzai ZB; Campbell RA; Lobb CJ; Engelken HT; Gorrell LM; Carlson TB; Catana JJ; Mikdadi D; Bonazzi VR; Klenk JA
BMC Bioinformatics; 2023 May; 24(1):221. PubMed ID: 37259021
[TBL] [Abstract][Full Text] [Related]
20. MC-GenomeKey: a multicloud system for the detection and annotation of genomic variants.
Elshazly H; Souilmi Y; Tonellato PJ; Wall DP; Abouelhoda M
BMC Bioinformatics; 2017 Jan; 18(1):49. PubMed ID: 28107819
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
