jinhuili-lab / microbiosee2

MicrobioSee2, a desktop sofware for visulization of microbiome result, which contian multiple modules, such as Alpha Diversity, Beta Diversity, Species Conpositions, volcano plot, and pie chart.

MicrobioSee2

This is a desktop tool for plotting on Windows OS. The MacOS version is developing. Join our Dicord.

Install

• Method 1: Binary version: Go to the following link and choose a file to download.

  https://github.com/jinhuili-lab/MicrobioSee2/releases/

Update log

• 0525/2024 Release the installation version for McirobioSee. This version was added with the future module to Parallel load packages.

Description

• MicrobioSee2 provides data mining and visualization services for the field of microbial integration research. MicrobioSee2 is a complementary toolkit for multi-omics data, and is available free of charge from this repository.

• The web-based visualization toolkit developed in the previous study can't be available sometimes because of the network security policy. At the same time, some researchers are afraid that their data uploaded will be revealed although most website owners promised not. Also, the potential hacker issues. So desktop version is necessary for data security.

• Detailed user documentation can be found here and https://github.com/jinhuili-lab/MicrobioSee2/blob/master/Bioinfor2finalproject%2005072024.pdf.

• In this work, we developed MicrobioSee, a desktop software, that could visualize microbial multi-omics data. It contains seventeen modules surrounding the major omics of microorganisms such as transcriptome, metagenome, and proteome. Subsequently, three case studies were chosen to represent the functional application of MicrobioSee. Overall, we provide a concise tool along with user-friendly, time-saving, cross-platform, and source-opening for researchers especially microbiologists without coding experience.

Cite us

1. Jinhui Li, Kaarunya Nachimuthu, abdur. MicrobioSee2: a desktop visualization toolkit for multi-omics of microbiology. bioRxiv 2024.
2. Jinhui Li, Yimeng Sang, Sen Zeng, Shuming Mo, Zufan Zhang, Sheng He, Xinying Li, Guijiao Su, Jianping Liao*, and Chengjian Jiang*. MicrobioSee: a web-based visualization toolkit for multi-omics of microbiology. Frontiers in Genetics. 2022. 13: 853612. DOI: 10.3389/fgene.2022.853612.

Acknowledge

Thanks to all the members who contribute to the MicrobioSee.

• Yimeng Sang
• Sen Zeng
• Kaarunya Nachimuthu