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Description
Choose two tailored cell groups by utilizing metadata to uncover their most significantly differentially expressed genes. Utilize the extensive collection of millions of cells from the integrated CZ CELLxGENE corpus for in-depth analysis. Conduct interactive examinations of datasets to investigate how gene expression patterns are influenced by spatial, environmental, and genetic variables through an intuitive no-code user interface. Gain insights into existing datasets or leverage them as a foundation to discover new cell subtypes and states. Census offers the capability to access any customized segment of standardized cell data available within CZ CELLxGENE, with opportunities for exploration in both R and Python. Delve into an interactive encyclopedia containing over 700 cell types that includes comprehensive definitions, marker genes, lineage information, and associated datasets all in one location. Additionally, you can browse and obtain hundreds of standardized data collections along with more than 1,000 datasets that detail the functionality of both healthy mouse and human tissues, enriching your research and understanding of cellular biology. This resource provides a valuable tool for researchers aiming to enhance their exploration of cellular dynamics and gene expression.
Description
MEGA, which stands for Molecular Evolutionary Genetics Analysis, is an intuitive and highly capable software suite tailored for examining DNA and protein sequence information from various species and populations. It allows for both automated and manual alignment of sequences, the construction of phylogenetic trees, and the testing of evolutionary theories. The software employs an array of statistical approaches such as maximum likelihood, Bayesian inference, and ordinary least squares, making it indispensable for comparative sequence analysis and insights into molecular evolution. Additionally, MEGA includes sophisticated functionalities like real-time caption generation to clarify the findings and methodologies applied during analysis, alongside the maximum composite likelihood method for calculating evolutionary distances. The program is enhanced with powerful visual aids, including an alignment/trace editor and a tree explorer, while also supporting multi-threading to optimize processing efficiency. Furthermore, MEGA is compatible with several operating systems, such as Windows, Linux, and macOS, ensuring accessibility for a diverse user base. In summary, MEGA stands out as a comprehensive tool for researchers delving into the intricacies of molecular genetics.
API Access
Has API
API Access
Has API
Integrations
Python
R
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
CZ CELLxGENE
Country
United States
Website
cellxgene.cziscience.com
Vendor Details
Company Name
MEGA
Country
United States
Website
www.megasoftware.net