Microbiome bioinformatics trang 1 tải miễn phí từ TAILIEUCHUNG

"Microbiome bioinformatics" trang 1 - tải miễn phí từ Tailieuchung

IMAP: An integrated bioinformatics and visualization pipeline for microbiome data analysis

IMAP: An integrated bioinformatics and visualization pipeline for microbiome data analysis

18 87 1

Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks

Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks

10 39 1

An integrative Bayesian Dirichletmultinomial regression model for the analysis of taxonomic abundances in microbiome data

An integrative Bayesian Dirichletmultinomial regression model for the analysis of taxonomic abundances in microbiome data

12 41 1

A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses

A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses

18 53 1

MHSNMF: Multi-view hessian regularization based symmetric nonnegative matrix factorization for microbiome data analysis

MHSNMF: Multi-view hessian regularization based symmetric nonnegative matrix factorization for microbiome data analysis

18 29 1

FMAP: Functional Mapping and Analysis Pipeline for metagenomics and metatranscriptomics studies

FMAP: Functional Mapping and Analysis Pipeline for metagenomics and metatranscriptomics studies

8 29 1

An empirical Bayes approach to normalization and differential abundance testing for microbiome data

An empirical Bayes approach to normalization and differential abundance testing for microbiome data

18 42 1

Application of OU processes to modelling temporal dynamics of the human microbiome, and calculating optimal sampling schemes

Application of OU processes to modelling temporal dynamics of the human microbiome, and calculating optimal sampling schemes

32 32 1

In silico benchmarking of metagenomic tools for coding sequence detection reveals the limits of sensitivity and precision

In silico benchmarking of metagenomic tools for coding sequence detection reveals the limits of sensitivity and precision

13 26 1

VOLARE: Visual analysis of diseaseassociated microbiome-immune system interplay

VOLARE: Visual analysis of diseaseassociated microbiome-immune system interplay

13 24 1

AMON: Annotation of metabolite origins via networks to integrate microbiome and metabolome data

AMON: Annotation of metabolite origins via networks to integrate microbiome and metabolome data

11 63 1

MetamicrobiomeR: An R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

MetamicrobiomeR: An R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models

15 49 1

Taxonomy-aware feature engineering for microbiome classification

Taxonomy-aware feature engineering for microbiome classification

13 33 1

CONSTAX: A tool for improved taxonomic resolution of environmental fungal ITS sequences

CONSTAX: A tool for improved taxonomic resolution of environmental fungal ITS sequences

9 49 1

Evaluating the accuracy of amplicon-based microbiome computational pipelines on simulated human gut microbial communities

Evaluating the accuracy of amplicon-based microbiome computational pipelines on simulated human gut microbial communities

12 29 1

Visibiome: An efficient microbiome search engine based on a scalable, distributed architecture

Visibiome: An efficient microbiome search engine based on a scalable, distributed architecture

15 40 1

Negative binomial mixed models for analyzing microbiome count data

Negative binomial mixed models for analyzing microbiome count data

10 38 1

NBZIMM: Negative binomial and zero‑infated mixed models, with application to microbiome/metagenomics data analysis

NBZIMM: Negative binomial and zero‑infated mixed models, with application to microbiome/metagenomics data analysis

19 43 1

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