A new genomic blueprint of the human gut microbiota
暂无分享,去创建一个
Robert D. Finn | Gregory B. Gloor | Alex L. Mitchell | Aleksandra Tarkowska | Samuel C. Forster | Miguel A. Boland | Miguel Boland | Trevor D. Lawley | R. Finn | G. Gloor | Aleksandra Tarkowska | A. Mitchell | S. Forster | T. Lawley | Alexandre Almeida | Alexandre Almeida | M. Boland | G. Gloor
[1] Zhengwei Zhu,et al. CD-HIT: accelerated for clustering the next-generation sequencing data , 2012, Bioinform..
[2] S. Eddy,et al. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. , 1997, Nucleic acids research.
[3] J. DiRuggiero,et al. MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis , 2018, Microbiome.
[4] C. Robert,et al. Culture of previously uncultured members of the human gut microbiota by culturomics , 2016, Nature Microbiology.
[5] M. Dunn,et al. A human gut bacterial genome and culture collection for improved metagenomic analyses , 2019, Nature Biotechnology.
[6] Miriam L. Land,et al. Trace: Tennessee Research and Creative Exchange Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification Recommended Citation Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification , 2022 .
[7] Robert D. Finn,et al. Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families , 2017, Nucleic Acids Res..
[8] S. Salzberg,et al. Versatile and open software for comparing large genomes , 2004, Genome Biology.
[9] Erin Beck,et al. TIGRFAMs and Genome Properties in 2013 , 2012, Nucleic Acids Res..
[10] R. Crichton. Inorganic Biochemistry of Iron Metabolism: From Molecular Mechanisms to Clinical Consequences , 2001 .
[11] Natalia N. Ivanova,et al. Microbial species delineation using whole genome sequences , 2015, Nucleic acids research.
[12] Jens Roat Kultima,et al. Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes , 2014, Nature Biotechnology.
[13] N. Lewis,et al. Dietary serine-microbiota interaction enhances chemotherapeutic toxicity without altering drug conversion , 2020, Nature Communications.
[14] Peter Williams,et al. IMG: the integrated microbial genomes database and comparative analysis system , 2011, Nucleic Acids Res..
[15] Sébastien Lê,et al. FactoMineR: An R Package for Multivariate Analysis , 2008 .
[16] C. Huttenhower,et al. PhyloPhlAn is a new method for improved phylogenetic and taxonomic placement of microbes , 2013, Nature Communications.
[17] Alexandros Stamatakis,et al. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies , 2014, Bioinform..
[18] Jean M. Macklaim,et al. ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq , 2013, PloS one.
[19] Brian D. Ondov,et al. Mash: fast genome and metagenome distance estimation using MinHash , 2015, Genome Biology.
[20] Katherine H. Huang,et al. Structure, Function and Diversity of the Healthy Human Microbiome , 2012, Nature.
[21] James R. Cole,et al. Reconstructing 16S rRNA genes in metagenomic data , 2015, Bioinform..
[22] Nitin Kumar,et al. Culturing of female bladder bacteria reveals an interconnected urogenital microbiota , 2018, Nature Communications.
[23] Richard Durbin,et al. Fast and accurate long-read alignment with Burrows–Wheeler transform , 2010, Bioinform..
[24] Tom O. Delmont,et al. Nitrogen-fixing populations of Planctomycetes and Proteobacteria are abundant in surface ocean metagenomes , 2018, Nature Microbiology.
[25] Neil D. Rawlings,et al. Genome properties in 2019: a new companion database to InterPro for the inference of complete functional attributes , 2018, Nucleic Acids Res..
[26] Duy Tin Truong,et al. Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome , 2018, Cell host & microbe.
[27] Donovan H. Parks,et al. Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life , 2017, Nature Microbiology.
[28] Jizhong Zhou,et al. A Proposed Genus Boundary for the Prokaryotes Based on Genomic Insights , 2014, Journal of bacteriology.
[29] Matthew Fraser,et al. InterProScan 5: genome-scale protein function classification , 2014, Bioinform..
[30] Kai Blin,et al. antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification , 2017, Nucleic Acids Res..
[31] Gonçalo R. Abecasis,et al. The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..
[32] Richard Durbin,et al. Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .
[33] Luiz Irber,et al. sourmash: a library for MinHash sketching of DNA , 2016, J. Open Source Softw..
[34] Brian C. Thomas,et al. Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system , 2016, Nature Communications.
[35] A. Phillippy,et al. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries , 2017, Nature Communications.
[36] Robert D. Finn,et al. EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies , 2017, Nucleic Acids Res..
[37] The Gene Ontology Consortium,et al. Expansion of the Gene Ontology knowledgebase and resources , 2016, Nucleic Acids Res..
[38] J. Eisen,et al. A simple, fast, and accurate method of phylogenomic inference , 2008, Genome Biology.
[39] W. D. de Vos,et al. The first 1000 cultured species of the human gastrointestinal microbiota , 2014, FEMS microbiology reviews.
[40] Blake A. Simmons,et al. MaxBin 2.0: an automated binning algorithm to recover genomes from multiple metagenomic datasets , 2016, Bioinform..
[41] B. Haas,et al. A Catalog of Reference Genomes from the Human Microbiome , 2010, Science.
[42] Konstantinos T. Konstantinidis,et al. Towards a Genome-Based Taxonomy for Prokaryotes , 2005, Journal of bacteriology.
[43] M. Surette,et al. Capturing the diversity of the human gut microbiota through culture-enriched molecular profiling , 2016, Genome Medicine.
[44] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[45] Kunihiko Sadakane,et al. MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph , 2014, Bioinform..
[46] H. Ogata,et al. In silico Prediction of Virus-Host Interactions for Marine Bacteroidetes With the Use of Metagenome-Assembled Genomes , 2020, Frontiers in Microbiology.
[47] Peer Bork,et al. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees , 2016, Nucleic Acids Res..
[48] D. Raoult,et al. A comprehensive repertoire of prokaryotic species identified in human beings. , 2015, The Lancet. Infectious diseases.
[49] Jean M. Macklaim,et al. A reproducible effect size is more useful than an irreproducible hypothesis test to analyze high throughput sequencing datasets , 2018, 1809.02623.
[50] Sean R. Eddy,et al. Infernal 1.0: inference of RNA alignments , 2009, Bioinform..
[51] J. Banfield,et al. dRep: a tool for fast and accurate genomic comparisons that enables improved genome recovery from metagenomes through de-replication , 2017, The ISME Journal.
[52] Liam J. Revell,et al. phytools: an R package for phylogenetic comparative biology (and other things) , 2012 .
[53] Natalia N. Ivanova,et al. Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea , 2017, Nature Biotechnology.
[54] The Gene Ontology Consortium. Expansion of the Gene Ontology knowledgebase and resources , 2016, Nucleic Acids Res..
[55] Johannes Alneberg,et al. Genomes from uncultivated prokaryotes: a comparison of metagenome-assembled and single-amplified genomes , 2017, Microbiome.
[56] Sergey I. Nikolenko,et al. SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing , 2012, J. Comput. Biol..
[57] R. Dewhurst,et al. Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen , 2018, Nature Communications.
[58] Yang Young Lu,et al. VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data , 2017, Microbiome.
[59] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[60] N. Segata,et al. Shotgun metagenomics, from sampling to analysis , 2017, Nature Biotechnology.
[61] Chao Xie,et al. Fast and sensitive protein alignment using DIAMOND , 2014, Nature Methods.
[62] Large-scale genome-wide analysis links lactic acid bacteria from food with the gut microbiome , 2020, Nature Communications.
[63] Edoardo Pasolli,et al. Analysis of 1321 Eubacterium rectale genomes from metagenomes uncovers complex phylogeographic population structure and subspecies functional adaptations , 2020, Genome Biology.
[64] R. Nandakumar,et al. Gut microbial diversity, inflammation, and oxidative stress are associated with tacrolimus dosing requirements early after heart transplantation , 2020, PloS one.
[65] P. Pevzner,et al. metaSPAdes: a new versatile metagenomic assembler. , 2017, Genome research.
[66] Nitin Kumar,et al. Culturing of ‘unculturable’ human microbiota reveals novel taxa and extensive sporulation , 2016, Nature.
[67] Donovan H. Parks,et al. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life , 2018, Nature Biotechnology.
[68] Rafael A. Irizarry,et al. Meta-analysis of gut microbiome studies identifies disease-specific and shared responses , 2017, Nature Communications.
[69] E. Mardis,et al. An obesity-associated gut microbiome with increased capacity for energy harvest , 2006, Nature.
[70] Dongwan D. Kang,et al. MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities , 2015, PeerJ.
[71] Cathy H. Wu,et al. UniProt: the Universal Protein knowledgebase , 2004, Nucleic Acids Res..
[72] P. Bork,et al. Accurate and universal delineation of prokaryotic species , 2013, Nature Methods.
[73] Sean R. Eddy,et al. Infernal 1.0: inference of RNA alignments , 2009, Bioinform..
[74] Connor T. Skennerton,et al. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes , 2015, Genome research.
[75] M. Kanehisa,et al. BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. , 2016, Journal of molecular biology.
[76] Edoardo Pasolli,et al. Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle , 2019, Cell.