173 related articles for article (PubMed ID: 32183840)
1. Benchmarking of computational error-correction methods for next-generation sequencing data.
Mitchell K; Brito JJ; Mandric I; Wu Q; Knyazev S; Chang S; Martin LS; Karlsberg A; Gerasimov E; Littman R; Hill BL; Wu NC; Yang HT; Hsieh K; Chen L; Littman E; Shabani T; Enik G; Yao D; Sun R; Schroeder J; Eskin E; Zelikovsky A; Skums P; Pop M; Mangul S
Genome Biol; 2020 Mar; 21(1):71. PubMed ID: 32183840
[TBL] [Abstract][Full Text] [Related]
2. A comparative study of k-spectrum-based error correction methods for next-generation sequencing data analysis.
Akogwu I; Wang N; Zhang C; Gong P
Hum Genomics; 2016 Jul; 10 Suppl 2(Suppl 2):20. PubMed ID: 27461106
[TBL] [Abstract][Full Text] [Related]
3. A hybrid and scalable error correction algorithm for indel and substitution errors of long reads.
Das AK; Goswami S; Lee K; Park SJ
BMC Genomics; 2019 Dec; 20(Suppl 11):948. PubMed ID: 31856721
[TBL] [Abstract][Full Text] [Related]
4. Efficient error correction for next-generation sequencing of viral amplicons.
Skums P; Dimitrova Z; Campo DS; Vaughan G; Rossi L; Forbi JC; Yokosawa J; Zelikovsky A; Khudyakov Y
BMC Bioinformatics; 2012 Jun; 13 Suppl 10(Suppl 10):S6. PubMed ID: 22759430
[TBL] [Abstract][Full Text] [Related]
5. Denoising DNA deep sequencing data-high-throughput sequencing errors and their correction.
Laehnemann D; Borkhardt A; McHardy AC
Brief Bioinform; 2016 Jan; 17(1):154-79. PubMed ID: 26026159
[TBL] [Abstract][Full Text] [Related]
6. CARE 2.0: reducing false-positive sequencing error corrections using machine learning.
Kallenborn F; Cascitti J; Schmidt B
BMC Bioinformatics; 2022 Jun; 23(1):227. PubMed ID: 35698033
[TBL] [Abstract][Full Text] [Related]
7. EC: an efficient error correction algorithm for short reads.
Saha S; Rajasekaran S
BMC Bioinformatics; 2015; 16 Suppl 17(Suppl 17):S2. PubMed ID: 26678663
[TBL] [Abstract][Full Text] [Related]
8. Repeat-aware modeling and correction of short read errors.
Yang X; Aluru S; Dorman KS
BMC Bioinformatics; 2011 Feb; 12 Suppl 1(Suppl 1):S52. PubMed ID: 21342585
[TBL] [Abstract][Full Text] [Related]
9. A hybrid correcting method considering heterozygous variations by a comprehensive probabilistic model.
Liu J; Wang J; Xiao X; Lai X; Dai D; Zhang X; Zhu X; Zhao Z; Wang J; Li Z
BMC Genomics; 2020 Nov; 21(Suppl 10):753. PubMed ID: 33208104
[TBL] [Abstract][Full Text] [Related]
10. A comprehensive evaluation of long read error correction methods.
Zhang H; Jain C; Aluru S
BMC Genomics; 2020 Dec; 21(Suppl 6):889. PubMed ID: 33349243
[TBL] [Abstract][Full Text] [Related]
11. Pluribus-Exploring the Limits of Error Correction Using a Suffix Tree.
Savel D; LaFramboise T; Grama A; Koyuturk M
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(6):1378-1388. PubMed ID: 27362987
[TBL] [Abstract][Full Text] [Related]
12. Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler.
Shepard SS; Meno S; Bahl J; Wilson MM; Barnes J; Neuhaus E
BMC Genomics; 2016 Sep; 17(1):708. PubMed ID: 27595578
[TBL] [Abstract][Full Text] [Related]
13. Hybrid-hybrid correction of errors in long reads with HERO.
Kang X; Xu J; Luo X; Schönhuth A
Genome Biol; 2023 Dec; 24(1):275. PubMed ID: 38041098
[TBL] [Abstract][Full Text] [Related]
14. In search of perfect reads.
Pal S; Aluru S
BMC Bioinformatics; 2015; 16 Suppl 17(Suppl 17):S7. PubMed ID: 26679555
[TBL] [Abstract][Full Text] [Related]
15. SMaSH: a benchmarking toolkit for human genome variant calling.
Talwalkar A; Liptrap J; Newcomb J; Hartl C; Terhorst J; Curtis K; Bresler M; Song YS; Jordan MI; Patterson D
Bioinformatics; 2014 Oct; 30(19):2787-95. PubMed ID: 24894505
[TBL] [Abstract][Full Text] [Related]
16. Benchmarking multi-platform sequencing technologies for human genome assembly.
Wang J; Veldsman WP; Fang X; Huang Y; Xie X; Lyu A; Zhang L
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37594299
[TBL] [Abstract][Full Text] [Related]
17. Benchmarking of de novo assembly algorithms for Nanopore data reveals optimal performance of OLC approaches.
Cherukuri Y; Janga SC
BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):507. PubMed ID: 27556636
[TBL] [Abstract][Full Text] [Related]
18. Comparison of error correction algorithms for Ion Torrent PGM data: application to hepatitis B virus.
Song L; Huang W; Kang J; Huang Y; Ren H; Ding K
Sci Rep; 2017 Aug; 7(1):8106. PubMed ID: 28808243
[TBL] [Abstract][Full Text] [Related]
19. Simultaneous compression of multiple error-corrected short-read sets for faster data transmission and better de novo assemblies.
Tang T; Hutvagner G; Wang W; Li J
Brief Funct Genomics; 2022 Sep; 21(5):387-398. PubMed ID: 35848773
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of methods for detecting human reads in microbial sequencing datasets.
Bush SJ; Connor TR; Peto TEA; Crook DW; Walker AS
Microb Genom; 2020 Jul; 6(7):. PubMed ID: 32558637
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]