These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
4. Predicting the Functional Potential of the Microbiome from Marker Genes Using PICRUSt. Douglas GM; Beiko RG; Langille MGI Methods Mol Biol; 2018; 1849():169-177. PubMed ID: 30298254 [TBL] [Abstract][Full Text] [Related]
5. Species classifier choice is a key consideration when analysing low-complexity food microbiome data. Walsh AM; Crispie F; O'Sullivan O; Finnegan L; Claesson MJ; Cotter PD Microbiome; 2018 Mar; 6(1):50. PubMed ID: 29554948 [TBL] [Abstract][Full Text] [Related]
6. High throughput sequencing methods and analysis for microbiome research. Di Bella JM; Bao Y; Gloor GB; Burton JP; Reid G J Microbiol Methods; 2013 Dec; 95(3):401-14. PubMed ID: 24029734 [TBL] [Abstract][Full Text] [Related]
7. From RNA-seq to Biological Inference: Using Compositional Data Analysis in Meta-Transcriptomics. Macklaim JM; Gloor GB Methods Mol Biol; 2018; 1849():193-213. PubMed ID: 30298256 [TBL] [Abstract][Full Text] [Related]
8. taxMaps: comprehensive and highly accurate taxonomic classification of short-read data in reasonable time. Corvelo A; Clarke WE; Robine N; Zody MC Genome Res; 2018 May; 28(5):751-758. PubMed ID: 29588360 [TBL] [Abstract][Full Text] [Related]
9. Measuring the diversity of the human microbiota with targeted next-generation sequencing. Finotello F; Mastrorilli E; Di Camillo B Brief Bioinform; 2018 Jul; 19(4):679-692. PubMed ID: 28025179 [TBL] [Abstract][Full Text] [Related]
10. Genome Recovery, Functional Profiling, and Taxonomic Classification from Metagenomes. Albanese D; Donati C Methods Mol Biol; 2021; 2242():153-172. PubMed ID: 33961223 [TBL] [Abstract][Full Text] [Related]
11. LEMMI: a continuous benchmarking platform for metagenomics classifiers. Seppey M; Manni M; Zdobnov EM Genome Res; 2020 Aug; 30(8):1208-1216. PubMed ID: 32616517 [TBL] [Abstract][Full Text] [Related]
12. What Is Metagenomics Teaching Us, and What Is Missed? New FN; Brito IL Annu Rev Microbiol; 2020 Sep; 74():117-135. PubMed ID: 32603623 [TBL] [Abstract][Full Text] [Related]
13. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis. Whelan FJ; Surette MG Microbiome; 2017 Aug; 5(1):100. PubMed ID: 28807046 [TBL] [Abstract][Full Text] [Related]
14. Practical considerations for sampling and data analysis in contemporary metagenomics-based environmental studies. Staley C; Sadowsky MJ J Microbiol Methods; 2018 Nov; 154():14-18. PubMed ID: 30287354 [TBL] [Abstract][Full Text] [Related]
16. Development of a Single Locus Sequence Typing (SLST) Scheme for Typing Bacterial Species Directly from Complex Communities. Scholz CF; Jensen A Methods Mol Biol; 2017; 1535():97-107. PubMed ID: 27914075 [TBL] [Abstract][Full Text] [Related]
17. Emerging tools for understanding the human microbiome. Ghosh TS; Das M Prog Mol Biol Transl Sci; 2022; 191(1):29-51. PubMed ID: 36270681 [TBL] [Abstract][Full Text] [Related]
18. Assessment of a 16S rRNA amplicon Illumina sequencing procedure for studying the microbiome of a symbiont-rich aphid genus. Jousselin E; Clamens AL; Galan M; Bernard M; Maman S; Gschloessl B; Duport G; Meseguer AS; Calevro F; Coeur d'acier A Mol Ecol Resour; 2016 May; 16(3):628-40. PubMed ID: 26458227 [TBL] [Abstract][Full Text] [Related]
19. Optimisation of methods for bacterial skin microbiome investigation: primer selection and comparison of the 454 versus MiSeq platform. Castelino M; Eyre S; Moat J; Fox G; Martin P; Ho P; Upton M; Barton A BMC Microbiol; 2017 Jan; 17(1):23. PubMed ID: 28109256 [TBL] [Abstract][Full Text] [Related]
20. A practical guide to amplicon and metagenomic analysis of microbiome data. Liu YX; Qin Y; Chen T; Lu M; Qian X; Guo X; Bai Y Protein Cell; 2021 May; 12(5):315-330. PubMed ID: 32394199 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]