Name
Abstract | ||
|---|---|---|
Rapid advances of next-generation sequencing technology have led to the integration of genetic information with clinical care. Genetic basis of diseases and response to drugs provide new ways of disease diagnosis and safer drug usage. This integration reveals the urgent need for effective and accurate tools to analyze genetic variants. Due to the number and diversity of sources for annotation, automating variant analysis is a challenging task. Here, we present database.bio, a web application that combines variant annotation, prioritization and visualization so as to support insight into the individual genetic characteristics. It enhances annotation speed by preprocessing data on a supercomputer, and reduces database space via a unified database representation with compressed fields. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/bioinformatics/btv500 | BIOINFORMATICS |
Field | DocType | Volume |
Data science,Data mining,Computer science,Web application,The Internet,Annotation,Supercomputer,Visualization,SAFER,Preprocessor,Bioinformatics,Molecular Sequence Annotation,Database | Journal | 31 |
Issue | ISSN | Citations |
24 | 1367-4803 | 1 |
PageRank | References | Authors |
0.40 | 2 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min Ou | 1 | 1 | 0.74 |
| Ricky Ma | 2 | 1 | 0.40 |
| Jeanno Cheung | 3 | 1 | 0.74 |
| Katie Lo | 4 | 1 | 0.40 |
| Patrick Yee | 5 | 1 | 0.40 |
| Tewei Luo | 6 | 1 | 0.40 |
| T. L. Chan | 7 | 1 | 0.40 |
| Chun Hang Au | 8 | 1 | 0.40 |
| Ava Kwong | 9 | 1 | 0.74 |
| Ruibang Luo | 10 | 113 | 9.92 |
| Tak Wah Lam | 11 | 39 | 3.76 |