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Hi there. Advaita is dedicated to bringing you the most advanced, easiest-to-use Bioinformatics tools out there. And that includes educational materials designed to help you take advantage of all the powerful features we offer. Our last post about p-value correction factors was a bit confusing. This blog post explains how each method works, so you can decide when to use each one.
We are lucky to have a few bioinformaticians around the office, including Dr. Sorin Draghici our CEO and founder. If you don’t have a bioinformatics expert in-house, you might want to pick up his book. It’s full of useful information, and I think the best part about it is how easy it is to read— he makes it fun! For now, if you want to know more about getting the most from your analyses, read on…
Advaita is announcing a new loyalty program. With this program, we reward you in two simple ways:
Refer a friend, earn $250.
If you refer a friend or a colleague and they purchase an annual subscription to any of our applications, we will send you $250.*
Publish using one of our apps, earn $100.
If you are a current subscriber and your publication uses results from and cites one of Advaita's applications, we will send you $100.**
Rules of the Advaita Rewards Program:
* We will ask purchasers of new annual subscriptions if they were referred by any current user. If they provide us with your name and contact information and you are a registeresd user, we will send you a $250 gift. Sorry, self-referrals will not be accepted. Renewals are also not eligible for this promotion. Valid for purchases made after July 10, 2016. A maximum of one (1) referral per new purchase will be awarded. Advaita may at its sole discretion accept, reject, award, nullify, invalidate, extend, increase, decrease, modify, cancel or otherwise determine the finality of the award for this promotion anytime and without notice. Gifts will be awarded through a pre-paid credit card or similar mechanism most convenient to Advaita. Awardees will be responsible for any and all applicable taxes, fees, tariffs, foreign exchange fees or similar fees that may diminish the final value of the award. Advaita may cancel or modify this program at any time without notice.
** Authors of journal papers that use results from and cite one of Advaita’s applications are eligible to receive a $100 gift. Authors must be current paying users of at least one Advaita application at the time of publication. If results come from a core facility, both the lead author and the named author from the core facility will each receive a gift. A maximum of 2 awards per paper will be granted. Papers must appear in journals with an ISI impact factor of 3.0 or higher and use results from the Advaita application(s) and cite it appropriately to be eligible. Advaita may at its sole discretion accept, reject, award, nullify, invalidate, extend, increase, decrease, cancel or otherwise determine the finality of the award for this promotion anytime and without notice. Gifts will be awarded through a pre-paid credit card or similar mechanism most convenient to Advaita. Awardees will be responsible for any and all applicable taxes, fees, tariffs, foreign exchange fees or similar fees that may diminish the final value of the award. Advaita may cancel or modify this program at any time without notice.
If you have any questions about the program, need clarification, or would like to claim an award, please contact us.
The following components were added or addressed in this release.
1. iPathwayGuide expects the following three items in your differential expression input file:
2. iPathwayGuide accepts several file formats for RNA-Seq, microarrays, and proteomic profiling. Refer to the full list of accepted data formats on the next page.
3. Submit the entire list of genes, not just the significant genes.
This is important because we need to calculate the background to provide you with a comprehensive analysis of your data without false positives.
4. You will have the opportunity to customize thresholds for the significant genes after you upload.
5. Each dataset takes about 15 minutes to analyze. You will get an automated email as soon as your analysis is complete.
6. Don’t have your data ready? We have sample datasets available for each data format. Grab a sample file and try it... it's easy!
7. Uploading data is easy. Here are two quick video tutorials on how to upload data.