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features
design
support

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Write a Review

Description

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

Description

Designing and simulating cloning procedures with precision is essential for successful outcomes; testing complex projects can help identify potential errors in advance, ensuring that the correct constructs are generated on the first attempt. The process of cloning becomes significantly more manageable when users have clear visibility into their work, thanks to an intuitive interface that streamlines intricate processes. With SnapGene, documentation is automated, relieving users of the burden of manual record-keeping while allowing them to view and share every alteration made during sequence edits and cloning procedures that ultimately resulted in the final plasmid. Enhancing your core molecular biology techniques can lead to better experimental results, and by mastering SnapGene along with essential cloning concepts through the SnapGene Academy, you can elevate your expertise. This online learning platform features over 50 video tutorials conducted by experienced scientific professionals, enabling you to broaden your knowledge across a range of molecular biology subjects. Additionally, the recent SnapGene 7.2 update introduces improved visualization of primer homodimer structures and enhances file management, allowing for better organization of tabs across multiple windows through a user-friendly drag-and-drop feature. This makes it easier than ever to manage your cloning projects efficiently and effectively.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Conspecta No 

Integrations

Conspecta Yes 

Pricing Details

Free
Basic plan is FREE. Researchers plan starts at $400/mo
Free Trial No 
Free Version Yes 

Pricing Details

$295 per year
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

JADBio

Founded

2019

Country

United States

Website

jadbio.com

Vendor Details

Company Name

SnapGene

Country

United States

Website

www.snapgene.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

Predictive Analytics

AI / Machine Learning Yes 
Benchmarking No 
Data Blending No 
Data Mining No 
Demand Forecasting No 
For Education No 
For Healthcare Yes 
Modeling & Simulation No 
Sentiment Analysis No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization Yes 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis Yes 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis Yes 

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