database.bio
Computational Tool
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General Information
DescriptionA web application for interpreting human variations
Homepagehttps://www.database.bio
Publications
database.bio: a web application for interpreting human variations
Min Ou; Ricky Ma; Jeanno Cheung; Katie Lo; Patrick Yee; Tewei Luo; T.L. Chan; Chun Hang Au; Ava Kwong; Ruibang Luo; Tak-Wah Lam
Summary: 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.
Availability and implementation: Freely available at https://database.bio
Contact: rb@l3-bioinfo.com or twlam@cs.hku.hk
Supplementary information: Supplementary data are available at Bioinformatics online.
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