A suite of tools available through chat to ask questions, analyze your data, and work faster.
Ask general life sciences and bioinformatics questions. Answers are optimized for research use cases.
tinybio can use over 50+ different Python & R packages. Can code with tools like Seurat, scanpy, DESeq, & others.
.RData, Seurat, DESeq2, .bam, .sam, .vcf, .txt, .gff, & .gtf, .csv, .xlsx, .txt and others supported.
When tiny intern makes mistakes it uses the output errors to immediately try to correct the script that it had written.
Upload your existing code and let tinybio correct and fix it to do what you want it to do.
tinybio shows you the well annotated code it used to arrive at it's findings along with the steps it took.
tiny intern can be used for several different use cases. Here are some that we support:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
With tiny intern you can do the below and more in minutes:
Below are some common questions that folks have about using tinybio. If something is not covered here please email sales at tinybio.cloud for further questions.
To try premium features, start a 7-day trial via your user settings, granting access to advanced tools and support. After the trial, you will have 4 free chats a day. To get unlimited chat, sign up for tinybio Plus!
The primary sources for our chat services are popular open source life science focused Github projects. The reason we chose Github is because we don't want to provide information that is stale.
The optimal queries for this chatbot are technical coding inquiries related to bioinformatics, as it excels in parsing and solving computational problems. However, it may find extracting specifics from niche publications challenging due to variability in data interpretation.
The chatbot supports a multitude of languages, encompassing widespread spoken languages for accessibility, alongside technical programming languages crucial for life science research, including C, Python, R, and C++.
To create a tinybio account, click the 'Sign Up' button located in the top right-hand corner of the homepage. Fill in the necessary details and follow the subsequent email verification to complete the setup.
To cancel your plus account, please visit ai.tinybio.cloud. Once there, click on your avatar in the upper right-hand corner, navigate to 'My Account,' and then select 'Cancel Subscription' to proceed with the cancellation.
We do not offer discounts for non-profit organizations. The operational expenses of running sophisticated large language models (LLMs), which require extensive computational resources, necessitate a standardized pricing model for all users to sustain the high performance and continual development of our services.
Your credit card will be charged at the commencement of each billing cycle, whether you have chosen a monthly or annual plan, to ensure uninterrupted service and access to the chatbot's features.
We do not offer group discounts as our pricing strategy is designed to provide individual users with equal opportunity to our comprehensive bioinformatics resources, ensuring that every user benefits from the same high-quality service and support.
There is no referral program available at this time. Our focus is on providing a uniformly excellent service to all users without the complexities of a referral system.
For custom implementations, we invite you to explore our enterprise solutions. Please reach out to our sales team directly at sales@tinybio.cloud, and they will assist you in tailoring our services to meet your specific requirements.
Certainly, to provide feedback or connect with our community, please reach out via email at sales@tinybio.cloud. Additionally, we're active on Twitter, and you can engage with us there for updates and discussions.