MUSiCC: a marker genes based framework for metagenomic normalization and accurate profiling of gene abundances in the microbiome
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MUSiCC: a marker genes based framework for metagenomic normalization and accurate profiling of gene abundances in the microbiome
Authors
Keywords
Operational Taxonomic Unit, Human Microbiome Project, Average Copy Number, KEGG Orthology, Metagenomic Sample
Journal
GENOME BIOLOGY
Volume 16, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-03-14
DOI
10.1186/s13059-015-0610-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Metagenomic analysis of double-stranded DNA viruses in healthy adults
- (2014) Kristine M Wylie et al. BMC BIOLOGY
- Biogeography and individuality shape function in the human skin metagenome
- (2014) Julia Oh et al. NATURE
- Comparative Analysis of Functional Metagenomic Annotation and the Mappability of Short Reads
- (2014) Rogan Carr et al. PLoS One
- Functional and phylogenetic assembly of microbial communities in the human microbiome
- (2014) Afrah Shafquat et al. TRENDS IN MICROBIOLOGY
- PhyloSift: phylogenetic analysis of genomes and metagenomes
- (2014) Aaron E. Darling et al. PeerJ
- Richness of human gut microbiome correlates with metabolic markers
- (2013) Emmanuelle Le Chatelier et al. NATURE
- Diet rapidly and reproducibly alters the human gut microbiome
- (2013) Lawrence A. David et al. NATURE
- Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
- (2013) Morgan G I Langille et al. NATURE BIOTECHNOLOGY
- Differential abundance analysis for microbial marker-gene surveys
- (2013) Joseph N Paulson et al. NATURE METHODS
- Rapid evolution of the human gut virome
- (2013) S. Minot et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships
- (2013) Ian H McHardy et al. Microbiome
- A metagenome-wide association study of gut microbiota in type 2 diabetes
- (2012) Junjie Qin et al. NATURE
- Summarizing and correcting the GC content bias in high-throughput sequencing
- (2012) Yuval Benjamini et al. NUCLEIC ACIDS RESEARCH
- Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
- (2012) Sahar Abubucker et al. PLoS Computational Biology
- Inferring Correlation Networks from Genomic Survey Data
- (2012) Jonathan Friedman et al. PLoS Computational Biology
- Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment
- (2012) Xochitl C Morgan et al. GENOME BIOLOGY
- Quantitative Metagenomic Analyses Based on Average Genome Size Normalization
- (2011) Jeremy A. Frank et al. APPLIED AND ENVIRONMENTAL MICROBIOLOGY
- KEGG for integration and interpretation of large-scale molecular data sets
- (2011) M. Kanehisa et al. NUCLEIC ACIDS RESEARCH
- Metagenomic systems biology of the human gut microbiome reveals topological shifts associated with obesity and inflammatory bowel disease
- (2011) S. Greenblum et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Average genome size: a potential source of bias in comparative metagenomics
- (2010) Bánk Beszteri et al. ISME Journal
- A human gut microbial gene catalogue established by metagenomic sequencing
- (2010) Junjie Qin et al. NATURE
- The GAAS Metagenomic Tool and Its Estimations of Viral and Microbial Average Genome Size in Four Major Biomes
- (2009) Florent E. Angly et al. PLoS Computational Biology
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started