212 related articles for article (PubMed ID: 33632132)
1. geneRFinder: gene finding in distinct metagenomic data complexities.
Silva R; Padovani K; Góes F; Alves R
BMC Bioinformatics; 2021 Feb; 22(1):87. PubMed ID: 33632132
[TBL] [Abstract][Full Text] [Related]
2. From Gene Annotation to Function Prediction for Metagenomics.
Sharifi F; Ye Y
Methods Mol Biol; 2017; 1611():27-34. PubMed ID: 28451969
[TBL] [Abstract][Full Text] [Related]
3. COGNIZER: A Framework for Functional Annotation of Metagenomic Datasets.
Bose T; Haque MM; Reddy C; Mande SS
PLoS One; 2015; 10(11):e0142102. PubMed ID: 26561344
[TBL] [Abstract][Full Text] [Related]
4. Massive metagenomic data analysis using abundance-based machine learning.
Harris ZN; Dhungel E; Mosior M; Ahn TH
Biol Direct; 2019 Aug; 14(1):12. PubMed ID: 31370905
[TBL] [Abstract][Full Text] [Related]
5. Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes.
Olson ND; Treangen TJ; Hill CM; Cepeda-Espinoza V; Ghurye J; Koren S; Pop M
Brief Bioinform; 2019 Jul; 20(4):1140-1150. PubMed ID: 28968737
[TBL] [Abstract][Full Text] [Related]
6. MetaEuk-sensitive, high-throughput gene discovery, and annotation for large-scale eukaryotic metagenomics.
Levy Karin E; Mirdita M; Söding J
Microbiome; 2020 Apr; 8(1):48. PubMed ID: 32245390
[TBL] [Abstract][Full Text] [Related]
7. FragGeneScan: predicting genes in short and error-prone reads.
Rho M; Tang H; Ye Y
Nucleic Acids Res; 2010 Nov; 38(20):e191. PubMed ID: 20805240
[TBL] [Abstract][Full Text] [Related]
8. Fast and accurate average genome size and 16S rRNA gene average copy number computation in metagenomic data.
Pereira-Flores E; Glöckner FO; Fernandez-Guerra A
BMC Bioinformatics; 2019 Sep; 20(1):453. PubMed ID: 31488068
[TBL] [Abstract][Full Text] [Related]
9. Tamock: simulation of habitat-specific benchmark data in metagenomics.
Gerner SM; Graf AB; Rattei T
BMC Bioinformatics; 2021 May; 22(1):227. PubMed ID: 33932979
[TBL] [Abstract][Full Text] [Related]
10. Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets.
Yue Y; Huang H; Qi Z; Dou HM; Liu XY; Han TF; Chen Y; Song XJ; Zhang YH; Tu J
BMC Bioinformatics; 2020 Jul; 21(1):334. PubMed ID: 32723290
[TBL] [Abstract][Full Text] [Related]
11. Metagenomic analysis through the extended Burrows-Wheeler transform.
Guerrini V; Louza FA; Rosone G
BMC Bioinformatics; 2020 Sep; 21(Suppl 8):299. PubMed ID: 32938362
[TBL] [Abstract][Full Text] [Related]
12. CAMISIM: simulating metagenomes and microbial communities.
Fritz A; Hofmann P; Majda S; Dahms E; Dröge J; Fiedler J; Lesker TR; Belmann P; DeMaere MZ; Darling AE; Sczyrba A; Bremges A; McHardy AC
Microbiome; 2019 Feb; 7(1):17. PubMed ID: 30736849
[TBL] [Abstract][Full Text] [Related]
13. TAMA: improved metagenomic sequence classification through meta-analysis.
Sim M; Lee J; Lee D; Kwon D; Kim J
BMC Bioinformatics; 2020 May; 21(1):185. PubMed ID: 32397982
[TBL] [Abstract][Full Text] [Related]
14. Benchmarking Community-Wide Estimates of Growth Potential from Metagenomes Using Codon Usage Statistics.
Weissman JL; Peras M; Barnum TP; Fuhrman JA
mSystems; 2022 Oct; 7(5):e0074522. PubMed ID: 36190138
[TBL] [Abstract][Full Text] [Related]
15. Short-read reading-frame predictors are not created equal: sequence error causes loss of signal.
Trimble WL; Keegan KP; D'Souza M; Wilke A; Wilkening J; Gilbert J; Meyer F
BMC Bioinformatics; 2012 Jul; 13():183. PubMed ID: 22839106
[TBL] [Abstract][Full Text] [Related]
16. Metagenomics: Probing pollutant fate in natural and engineered ecosystems.
Bouhajja E; Agathos SN; George IF
Biotechnol Adv; 2016 Dec; 34(8):1413-1426. PubMed ID: 27825829
[TBL] [Abstract][Full Text] [Related]
17. Quality control of microbiota metagenomics by k-mer analysis.
Plaza Onate F; Batto JM; Juste C; Fadlallah J; Fougeroux C; Gouas D; Pons N; Kennedy S; Levenez F; Dore J; Ehrlich SD; Gorochov G; Larsen M
BMC Genomics; 2015 Mar; 16(1):183. PubMed ID: 25887914
[TBL] [Abstract][Full Text] [Related]
18. Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data.
Chen JC; Tyler AD
Biol Direct; 2020 Dec; 15(1):29. PubMed ID: 33302990
[TBL] [Abstract][Full Text] [Related]
19. Variability in Metagenomic Count Data and Its Influence on the Identification of Differentially Abundant Genes.
Jonsson V; Österlund T; Nerman O; Kristiansson E
J Comput Biol; 2017 Apr; 24(4):311-326. PubMed ID: 27892712
[TBL] [Abstract][Full Text] [Related]
20. Prediction and analysis of metagenomic operons via MetaRon: a pipeline for prediction of Metagenome and whole-genome opeRons.
Zaidi SSA; Kayani MUR; Zhang X; Ouyang Y; Shamsi IH
BMC Genomics; 2021 Jan; 22(1):60. PubMed ID: 33468056
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]