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CloVR-Microbe: Assembly, gene finding and functional annotation of raw sequence data from single microbial genome projects – standard operating procedure, version 1.0 Nature Precedings
Kevin Galens; James R. White; Cesar Arze; Malcolm Matalka; Michelle Gwinn Giglio; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-Microbe pipeline performs the basic processing and analysis steps required for standard microbial single-genome sequencing projects: A) Whole-genome shotgun sequence assembly; B) Identification of protein and RNA-coding genes; and C) Functional gene annotation. B) and C) are based on the IGS Annotation Engine (http://ae.igs.umaryland.edu/), which is described elsewhere (K Galens et al. submitted). The assembly component of CloVR- Microbe can be executed independently from the gene identification and annotation components. Alternatively, pre-assembled sequence contigs can be used to perform gene identifications and annotations. The pipeline input may consist of unassembled raw sequence reads from the Sanger, Roche/454 GS FLX or Illumina GAII or...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5887/version/2
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CloVR-16S: Phylogenetic microbial community composition analysis based on 16S ribosomal RNA amplicon sequencing – standard operating procedure, version 1.1 Nature Precedings
James R. White; Cesar Arze; Malcolm Matalka; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-16S pipeline employs several well-known phylogenetic tools and protocols for the analysis of 16S rRNA sequence datasets: 

A) Qiime – a Python-based workflow package, allowing for sequence processing and phylogenetic analysis using different methods including the phylogenetic distance metric UniFrac, UCLUST, PyNAST and the RDP Bayesian classifier; 
B) UCHIME – a tool for rapid identification of chimeric 16S sequence fragments; 
C) Mothur – a C++-based software package for 16S analysis;
D) Metastats and custom R scripts used to generate additional statistical and graphical evaluations.
 
CloVR-16S...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/6287/version/2
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CloVR-Metagenomics: Functional and taxonomic microbial community characterization from metagenomic whole-genome shotgun (WGS) sequences – standard operating procedure, version 1.0 Nature Precedings
James R. White; Cesar Arze; Malcolm Matalka; The CloVR Team; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-Metagenomics pipeline employs several well-known tools and protocols for the analysis of metagenomic whole-genome shotgun (WGS) sequence datasets:

A) UCLUST [1] – a C++-based software package for clustering redundant DNA sequences and removing artificial 454 replicates [1]; 
B) BLASTX and BLASTN [2] for functional and taxonomic assignment of sequences, respectively;
C) Metastats [3] and custom R scripts to generate additional statistical and graphical evaluation.

The CloVR-Metagenomics pipeline accepts as input multiple fasta files (1 sample per file) and a corresponding tab-delimited metadata file that specifies features associated...
Tipo: Manuscript Palavras-chave: Biotechnology; Genetics & Genomics; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5886/version/1
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Imprime registro no formato completo
CloVR-16S: Phylogenetic microbial community composition analysis based on 16S ribosomal RNA amplicon sequencing – standard operating procedure, version 1.1 Nature Precedings
James R. White; Cesar Arze; Malcolm Matalka; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-16S pipeline employs several well-known phylogenetic tools and protocols for the analysis of 16S rRNA sequence datasets: 

A) Qiime – a Python-based workflow package, allowing for sequence processing and phylogenetic analysis using different methods including the phylogenetic distance metric UniFrac, UCLUST, PyNAST and the RDP Bayesian classifier; 
B) UCHIME – a tool for rapid identification of chimeric 16S sequence fragments; 
C) Mothur – a C++-based software package for 16S analysis;
D) Metastats and custom R scripts used to generate additional statistical and graphical evaluations.
 
CloVR-16S...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/6287/version/1
Imagem não selecionada

Imprime registro no formato completo
CloVR-16S: Phylogenetic microbial community composition analysis based on 16S ribosomal RNA amplicon sequencing – standard operating procedure, version 1.0 Nature Precedings
James R. White; Cesar Arze; Malcolm Matalka; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-16S pipeline employs several well-known phylogenetic tools and protocols for the analysis of 16S rRNA sequence datasets:

A) Mothur – a C++-based software package used for clustering 16S rRNA sequences into operational taxonomic units (OTUs). Mothur creates OTUs using a matrix that describes pairwise distances between representative aligned sequences and subsequently estimates within-sample diversity (alpha diversity);
B) The Ribosomal Database (RDP) naïve Bayesian classifier assigns each 16S sequence to a reference taxonomy with associated empirical probabilities based on oligonucleotide frequencies;
C) Qiime – a python-based workflow package,...
Tipo: Manuscript Palavras-chave: Ecology; Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5888/version/3
Imagem não selecionada

Imprime registro no formato completo
CloVR-16S: Phylogenetic microbial community composition analysis based on 16S ribosomal RNA amplicon sequencing – standard operating procedure, version1.0 Nature Precedings
James R. White; Cesar Arze; Malcolm Matalka; The CloVR Team; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-16S pipeline employs several well-known phylogenetic tools and protocols for the analysis of 16S rRNA sequence datasets:

A) Mothur [1] – a C++ - based software package used for clustering 16SrRNA sequences into operational taxonomic units (OTUs). Mothur creates OTUs using a matrix that describes pairwise distances between representative aligned sequences and subsequently estimates within-sample diversity (alpha diversity);
B)The Ribosomal Database (RDP) naive Bayesian classifier [2] assigns each 16S sequence to a reference taxonomy with associated empirical probabilities based on oligonucleotide frequencies;
C) Qiime [3] – a python-based workflow package,...
Tipo: Manuscript Palavras-chave: Biotechnology; Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5888/version/1
Imagem não selecionada

Imprime registro no formato completo
CloVR-Metagenomics: Functional and taxonomic microbial community characterization from metagenomic whole-genome shotgun (WGS) sequences – standard operating procedure, version 1.0 Nature Precedings
James R. White; Cesar Arze; Malcom Matalka; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-Metagenomics pipeline employs several well-known tools and protocols for the analysis of metagenomic whole-genome shotgun (WGS) sequence datasets:

A) UCLUST – a C++-based software package for clustering redundant DNA sequences and removing artificial 454 replicates;
B) BLASTX and BLASTN for functional and taxonomic assignment of sequences, respectively;
C) Metastats and custom R scripts to generate additional statistical and graphical evaluation.

The CloVR-Metagenomics pipeline accepts as input multiple fasta files (1 sample per file) and a corresponding tab-delimited metadata file that specifies features associated with the samples,...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5886/version/2
Imagem não selecionada

Imprime registro no formato completo
CloVR-16S: Phylogenetic microbial community composition analysis based on 16S ribosomal RNA amplicon sequencing – standard operating procedure, version 1.0 Nature Precedings
James R. White; Cesar Arze; Malcolm Matalka; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-16S pipeline employs several well-known phylogenetic tools and protocols for the analysis of 16S rRNA sequence datasets:

A) Mothur – a C++-based software package used for clustering 16S rRNA sequences into operational taxonomic units (OTUs). Mothur creates OTUs using a matrix that describes pairwise distances between representative aligned sequences and subsequently estimates within-sample diversity (alpha diversity);
B) The Ribosomal Database (RDP) naïve Bayesian classifier assigns each 16S sequence to a reference taxonomy with associated empirical probabilities based on oligonucleotide frequencies;
C) Qiime – a python-based workflow package,...
Tipo: Manuscript Palavras-chave: Ecology; Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5888/version/2
Imagem não selecionada

Imprime registro no formato completo
CloVR-Microbe: Assembly, gene finding and functional annotation of raw sequence data from single microbial genome projects – standard operating procedure, version 1.0 Nature Precedings
Kevin Galens; James R. White; Cesar Arze; Malcolm Matalka; Michelle Gwinn Giglio; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-Microbe pipeline performs the basic processing and analysis steps required for standard microbial single-genome sequencing projects: A) Whole-genome shotgun sequence assembly; B) Identification of protein and RNA-coding genes; and C) Functional gene annotation. B) and C) are based on the IGS Annotation Engine (http://ae.igs.umaryland.edu/), which is described elsewhere (K Galens et al. submitted). The assembly component of CloVR- Microbe can be executed independently from the gene identification and annotation components. Alternatively, pre-assembled sequence contigs can be used to perform gene identifications and annotations. The pipeline input may consist of unassembled raw sequence reads from the Sanger, Roche/454 GS FLX or Illumina GAII or...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5887/version/3
Imagem não selecionada

Imprime registro no formato completo
CloVR-Metagenomics: Functional and taxonomic microbial community characterization from metagenomic whole-genome shotgun (WGS) sequences – standard operating procedure, version 1.0 Nature Precedings
James R. White; Cesar Arze; Malcom Matalka; The CloVR Team; Owen White; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-Metagenomics pipeline employs several well-known tools and protocols for the analysis of metagenomic whole-genome shotgun (WGS) sequence datasets:

A) UCLUST – a C++-based software package for clustering redundant DNA sequences and removing artificial 454 replicates;
B) BLASTX and BLASTN for functional and taxonomic assignment of sequences, respectively;
C) Metastats and custom R scripts to generate additional statistical and graphical evaluation.

The CloVR-Metagenomics pipeline accepts as input multiple fasta files (1 sample per file) and a corresponding tab-delimited metadata file that specifies features associated with the samples,...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Microbiology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5886/version/3
Imagem não selecionada

Imprime registro no formato completo
CloVR-Microbe: Assembly, gene finding and functional annotation of raw sequence data from single microbial genome projects – standard operating procedure, version 1.0 Nature Precedings
Kevin Galens; James R. White; Cesar Arze; Malcolm Matalka; Michelle Gwinn Giglio; The CloVR Team; Samuel V. Angiuoli; W. Florian Fricke.
The CloVR-Microbe pipeline performs the basic processing and analysis steps required for standard microbial single-genome sequencing projects: A) Whole-genome shotgun sequence assembly; B) Identification of protein and RNA-coding genes; and C) Functional gene annotation. B) and C) are based on the IGS Annotation Engine (http://ae.igs.umaryland.edu/), which is described elsewhere (K Galens et al. submitted). The assembly component of CloVR-Microbe can be executed independently from the gene identification and annotation components. Alternatively, pre-assembled sequence contigs can be used to perform gene identifications and annotations. The pipeline input may consist of unassembled raw sequence reads from the Sanger, Roche/454 GS FLX or Illumina GAII or...
Tipo: Manuscript Palavras-chave: Biotechnology; Genetics & Genomics; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5887/version/1
Registros recuperados: 11
Primeira ... 1 ... Última
 

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