Name
Title | ||
|---|---|---|
A method for automated pathogenic content estimation with application to rheumatoid arthritis. |
Abstract | ||
|---|---|---|
BackgroundSequencing technologies applied to mammals’ microbiomes have revolutionized our understanding of health and disease. Hence, to assess diseases’ progression as well as therapies longterm effects, the impact of maladies and drugs on the gut-intestinal (GI) microbiome has to be evaluated. Typical metagenomic analyses are run to associate to a condition (disease, therapy, diet) a pool of bacteria, whose eubiotic/dysbiotic potential is assessed either by α-diversity, a measure of the varieties populating the microbiome, or by Firmicutes to Bacteroides ratio, associated to systemic inflammation, and finally by manual and direct inspection of bacteria’s biological functions, when known. These approaches lead to results sometimes difficult to interpret in terms of the evolution towards a specific microbial composition, harmed by large areas of unknown. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12918-016-0344-6 | BMC Systems Biology |
Keywords | Field | DocType |
Microbiome, Pathogens, Rheumatoid arthritis | Bacteroides,Disease,Biology,Firmicutes,Systemic inflammation,Microbiome,Systems biology,Metagenomics,Rheumatoid arthritis,Bioinformatics | Journal |
Volume | Issue | ISSN |
10 | 1 | 1752-0509 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyuan Zhou | 1 | 1 | 0.71 |
| Christine Nardini | 2 | 65 | 9.00 |