Name
Abstract | ||
|---|---|---|
Microbes are highly diverse and widely distributed organisms. They account for similar to 60% of Earth's biomass and new predictions point for the existence of 10(11) to 10(12) species, which are constantly sharing genes through several different mechanisms. Genomic Islands (GI) are critical in this context, as they are large regions acquired through horizontal gene transfer. Also, they present common features like genomic signature deviation, transposase genes, flanking tRNAs and insertion sequences. GIs carry large numbers of genes related to specific lifestyle and are commonly classified in Pathogenicity, Resistance, Metabolic or Symbiotic Islands. With the advent of the next-generation sequencing technologies and the deluge of genomic data, many software tools have been developed that aim to tackle the problem of GI prediction and they are all based on the prediction of GI common features. However, there is still room for the development of new software tools that implements new approaches, such as, machine learning and pan-genomics based analyses. Finally, GIs will always hold a potential application in every newly invented genomic approach as they are directly responsible for much of the genomic plasticity of bacteria. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.2390/biecoll-jib-2016-301 | JOURNAL OF INTEGRATIVE BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 13 | 1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siomar de Castro Soares | 1 | 0 | 0.34 |
| Letícia C. Oliveira | 2 | 0 | 0.68 |
| Arun Kumar Jaiswal | 3 | 0 | 0.34 |
| Vasco Azevedo | 4 | 28 | 5.93 |