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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Published on: August 15, 2019

EnrichrBot: Twitter bot tracking tweets about human genes.

Alon Bartal¹, Alexander Lachmann¹, Daniel J B Clarke¹

¹Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.

Bioinformatics (Oxford, England)

|April 12, 2020

Summary

EnrichrBot is a new Twitter bot that shares gene information and trends. It provides data on under-studied genes, responds to queries, and reports trending genes weekly.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Micro-blogging platforms like Twitter are increasingly used for scientific communication.
The Twitter API enables the development of automated bots for data dissemination and trend analysis.

Purpose of the Study:

To introduce EnrichrBot, a novel Twitter bot designed for disseminating gene-related information.
To leverage Twitter for communicating scientific findings and engaging with the research community.

Main Methods:

Developed EnrichrBot using the Twitter API.
Implemented six core functions including tweeting gene data, responding to queries, and reporting trending genes.
Integrated with Enrichr database and GWASbot for enhanced functionality.

Main Results:

EnrichrBot successfully tweets information on human genes, including under-studied non-coding lncRNAs.
The bot handles requests for gene information and interacts with other bots like GWASbot.
Weekly reports on trending genes and random gene set tweets are generated.

Conclusions:

EnrichrBot enhances the dissemination of gene-centric information through Twitter.
The bot facilitates engagement with gene-related data and trends within the scientific community.
EnrichrBot serves as a valuable tool for researchers interested in genomics and bioinformatics.