Name
Abstract | ||
|---|---|---|
The advent of next-generation DNA sequencing platforms has revolutionized molecular microbial ecology by making the detailed analysis of complex communities over time and space a tractable research pursuit for small research groups. However, the ability to generate 105–108 reads with relative ease brings with it many downstream complications. Beyond the computational resources and skills needed to process and analyze data, it is difficult to compare datasets in an intuitive and interactive manner that leads to hypothesis generation and testing. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/1471-2105-15-41 | BMC Bioinformatics |
Keywords | Field | DocType |
Microbiome, Microbial ecology, Microbial diversity, Data visualization, Website, Bacteria, SSU rRNA, Next-generation sequencing | Population,Metadata,World Wide Web,Data visualization,Biology,Visualization,Upload,Bioinformatics,Web service,Computer graphics,The Internet | Journal |
Volume | Issue | ISSN |
15 | 1 | 1471-2105 |
Citations | PageRank | References |
8 | 0.40 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Susan M. Huse | 1 | 34 | 2.97 |
| David B. Mark Welch | 2 | 8 | 0.40 |
| Andy Voorhis | 3 | 8 | 0.40 |
| Anna Shipunova | 4 | 8 | 0.40 |
| Hilary G. Morrison | 5 | 19 | 1.84 |
| A. Murat Eren | 6 | 9 | 1.11 |
| Mitchell L. Sogin | 7 | 8 | 0.74 |