Name
Abstract | ||
|---|---|---|
The study of microbial communities crucially relies on the comparison of metagenomic next-generation sequencing data sets, for which several methods have been designed in recent years. Here, we review three key challenges in the comparison of such data sets: species identification and quantification, the efficient computation of distances between metagenomic samples and the identification of metagenomic features associated with a phenotype such as disease status. We present current solutions for such challenges, considering both reference-based methods relying on a database of reference genomes and reference-free methods working directly on all sequencing reads from the samples. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1093/bib/bbaa121 | BRIEFINGS IN BIOINFORMATICS |
Keywords | DocType | Volume |
microbiome, metagenomics, next-generation sequencing | Journal | 22 |
Issue | ISSN | Citations |
1 | 1467-5463 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matteo Comin | 1 | 191 | 20.94 |
| Barbara Di Camillo | 2 | 0 | 0.34 |
| Cinzia Pizzi | 3 | 139 | 15.73 |
| Fabio Vandin | 4 | 218 | 27.55 |