| URL: | https://huma.rubi.ru.ac.za |
| Full name: | Human Mutation Analysis |
| Description: | The Human Mutation Analysis (HUMA) database and web server has been developed as a platform for the analysis of genetic variation in humans. HUMA aggregates data from various sources into a single, connected database and provides tools to analyse this data. Further, HUMA provides users with the option of uploading their own variation datasets and using the provided tools to analyse this data. HUMA integrates sequence, structure, variation, and disease data into a single, connected database. A user-friendly interface provides click-based data access and visualization, whereas a RESTful Web API provides programmatic access to the data. Tools have been integrated into HUMA to allow initial analyses to be carried out on the server. |
| Year founded: | 2018 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
|
| Country/Region: | South Africa |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | Rhodes University |
| Address: | Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, South Africa |
| City: | |
| Province/State: | |
| Country/Region: | South Africa |
| Contact name (PI/Team): | Özlem Tastan Bishop |
| Contact email (PI/Helpdesk): | o.tastanbishop@ru.ac.za |
|
HUMA: A platform for the analysis of genetic variation in humans. [PMID: 28967693]
The completion of the human genome project at the beginning of the 21st century, along with the rapid advancement of sequencing technologies thereafter, has resulted in exponential growth of biological data. In genetics, this has given rise to numerous variation databases, created to store and annotate the ever-expanding dataset of known mutations. Usually, these databases focus on variation at the sequence level. Few databases focus on the analysis of variation at the 3D level, that is, mapping, visualizing, and determining the effects of variation in protein structures. Additionally, these Web servers seldom incorporate tools to help analyze these data. Here, we present the Human Mutation Analysis (HUMA) Web server and database. HUMA integrates sequence, structure, variation, and disease data into a single, connected database. A user-friendly interface provides click-based data access and visualization, whereas a RESTful Web API provides programmatic access to the data. Tools have been integrated into HUMA to allow initial analyses to be carried out on the server. Furthermore, users can upload their private variation datasets, which are automatically mapped to public data and can be analyzed using the integrated tools. HUMA is freely accessible at https://huma.rubi.ru.ac.za. |