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  3. The Microsoft Azure Cloud and its services run in globally distributed data centers. Typically, customers have the choice of which data center they want their services and applications to run. Strict German or European data protection regulations and compliance guidelines may make it necessary to use data centers in Northern or Western Europe. On the one hand, they are geographically closer, allowing for shorter access and response times, and, on the other, compliant with European data policies. Especially for German users there is another solution in the form of a trust construct. It should meet the strong German privacy need. Access to the data hosted in German data centers (Magdeburg and Frankfurt am Main) is controlled by a data trustee, T-Systems. Although the two German data centers are part of the global Microsoft cloud infrastructure, it is nevertheless ensured that customer data is not transferred to a data center outside Germany. Another option for data control is not to store the user data in the Azure Cloud. Applications and computing power are available from the cloud, but data remains in the private cloudsaved. Microsoft Azure offers a total of approximately 50 compliance offerings to cover the variety of compliance requirements that exist worldwide. Azure is recognized by the US government as a trusted cloud.
  4. Guest

    Bioinformatics vs Data Science

    I would like to see the data behind this statement. I do not find this statement necessarily true, specially coming from the bioinformatics side.
  5. Guest

    Bioinformatics vs Data Science

    My actual line of thought is whether I can get a straight data job with a bioinformatics degree, which I'm imagining is easier to come by. What I'm actually exploring are programs that are in Analytics / Data Science, but with a concentration or electives pulled from Bioinformatics / Computational Biology. My background is in Environmental Science, so getting a business background is helpful, but my passion is along biology / chemistry, and I have an interest in social science / academic applications as well. Thoughts? Anyone else?
  6. Phoenix Bioinformatics, the non-profit organization that brings you TAIR, has openings in the area of curation and scientific software development, project management, both with emphasis on plant biology. Responsibilities include: Qualifications: You can apply for this job listing by clicking here.
  7. I as of late gave a go to React js and im beginning to like it. There is one rationale what I am screwed over thanks to. My site is multi-dialect and I have issues rendering the strings. So what I thought is to put an information make an interpretation of credit to the id's or classes yet does not fit right. This is only an essential case of my rationale React js var counter = document.getElementById('counter').getAttribute('data-translate'); var Timer = React.createClass({ getInitialState: function() { return {secondsElapsed: 0}; }, tick: function() { this.setState({secondsElapsed: this.state.secondsElapsed + 1}); }, componentDidMount: function() { this.interval = setInterval(this.tick, 1000); }, componentWillUnmount: function() { clearInterval(this.interval); }, render: function() { return ( <div className={this.translate}>{counter} {this.state.secondsElapsed}</div> ); } }); React.renderComponent( <Timer />, document.getElementById('counter') ); HTML <div id="counter" data-translate="{{ trans('stream.counter') }}"></div>
  8. This is a great explanation.
  9. Stephanie_R

    Best GRE prep book for 2018

    So this is going to be a little bit of a longer post (so bear with me here!) But I can honestly say the BEST GRE study resource that I came across is Magoosh. When I first began studying for the GRE, I used a Princeton Review book and followed their study guide, took their practice exams, and got a pretty lousy GRE score. I was sort of embarrassed by it, so the second time around I really did my research and saw some good things about Magoosh. A lot of people haven't heard of them in comparison to some of the "big" test companies, like Kaplan, Princeton Review, ect.. but they are light years ahead of any other resource. I literally was able to improve my GRE score by a whole 15 points with them (and got my writing up to a 5.5.) They have some really good study plans, and this huge test bank that allows you to try out questions of a huge variety. I would really recommend you check them out if you are looking for a go-to GRE study resource. Oh. and they're CHEAPER! The Princeton Review course I was going to sign up for was close to 1000 dollars. Whereas Magoosh GRE is sooo much cheaper than that. Here's a link to their website if you are interested: http://magoosh.com
  10. Stephanie_R

    New Year, New YDSOA

    I'm looking forward to all of these changes! So sorry that I have been gone for so long (graduate school can be soooo stressful! :/)
  11. I couldn't agree more with this!
  12. Stephanie_R

    Data Science Poll 1/15/18

    I'm trying to become better at programming (Python.) I guess the best thing for me has been just working on a wide variety of projects!!
  13. Hi, I'm going to be taking the GRE this summer and then apply for programs for the 18-19 cycle. What would you all say is the best GRE prep book for 2018? I read online that there have been a good amount of changes to the test and want to make sure I get the best study material available. So if anyone could provide a GRE prep book, and a study plan, I would appreciate it.
  14. Our YDSOA Poll for 2/26 is different from some of the other questions we've asked. Here, we are interested in the type of career you are planning to pursue in the fields of Informatics or Data Science. Feel free to expand on your response below!
  15. Basil

    Do Ph.D Programs accept MCAT scores

    Just saw that Wake Forest has a bunch of masters programs that will accept the MCAT instead of the GRE. Check it out below: http://graduate.wfu.edu/admissions-required-tests/ Also went ahead and edited Eli's post.
  16. Hello everyone, it's been a while since we've posted any new announcements with regard to the site! 2017 was an exciting year for YDSOA! We moved away from our old blog format and shifted into the current community setting. Additionally, we have seen heavy increases in traffic the site has received, and our search engine rankings. Although our community forums haven't been as active as we'd like, we were fortunate enough to gain over 100 new members since our launch, to bring the total amount of members of YDSOA up to 186! We also had a lot of great discussions going on as well! We have many goals for the new year that we hope can take YDSOA to the next level and improve the user experience. They include the following: We're going to be condensing the amount of forum categories we have, especially the ones that saw the least amount of activity. Currently, our most active social media account is Facebook, and we will continue to use it as our main social account. We will soon phase out our Twitter and Instagram accounts. My personal Twitter account will be used to post updates about our site, and about topics regarding Data Science and Informatics. We will be updating our blog structure and adding more content. This will also include editing older posts that may have outdated information. We will be discontinuing our Graduate School Database and putting more of an emphasis on general graduate school discussions. We will be releasing our new site feature called YDSOA Jobs sometime in mid March. We are looking to implement a brand new site design and homepage. That's the gist of things that are in store. We thank everybody who joined YDSOA in 2017 and look forward to all the new members and great discussions in store!
  17. Answer the latest Data Science Poll!
  18. Cons: Some schools look negatively at people who quit graduate programs, like Basil said. Having to go through the entire application process again. Pros: It's better to realize that a PhD program is not for you early, then be miserable for the next 4-6 years. There's a lot of information on the internet about how quitting a graduate program is a kiss of death in terms of your application. And this might be true for the top PhD programs, but I also know people who have quit one program and still got accepted at another. It really depends on the applicant and the circumstance I think.
  19. I know of two people in my current Ph.D. Program who attended another program for a year, realized it wasn't a good fit, and decided to leave. Both of them were still able to receive multiple admissions from other universities and are now very happy with their current situation. Obviously, the biggest con is you're potentially going to have to sit out some time from school while you apply elsewhere. However, some programs admit students in the Fall and Spring, which means less time away.
  20. Hi, I was wondering if anyone has ever considered changing schools after a year of their PhD has passed in the current school? Is it possible to change schools at this time? What are the pros and cons of applying to new graduate schools? Thanks!
  21. Those are some excellent points! That was one of the hardest things for me as well, trying to figure out what subjects I should prioritize first. Should it be computer programming/science, biological sciences or mathematics? The lab I ended up joining for my masters focused on computer science, so I spent most of my time there. Now at the Ph.D. level, a lot of the labs focus on tool development rather than implementation, and it's made me go back to try to become an even better programmer. It definitely is a never-ending cycle of reevaluating where you are at, and what you need to do to make it to the next step. However, this challenge is also what has made Bioinformatics so rewarding!
  22. I feel one of the most challenging issues is how each of us defines Bioinformatics/Computational Biology. It's such a broad term and our specific area of interest may not match with that of our PIs. And related to this is, what prerequisites to match, even when just expanding knowledge-base. I was trained to look for and use existing tools to help with my analysis. Right now, I need to learn programming to run codes for my analysis. Then comes the choice of programming language. While the concepts hold for all languages, it's usually best to master one over the others (or maybe all). But hey, that's what keeps us going, I guess -The cycle of learning and applying.. I'm still at the very start of my career, I am sure my response will change few years down the line. Looking to hear from others who have crosses this stage already.
  23. I posted this article over on my personal site (https://basilkh.com). It's an article describing how you can use social media to help you in your professional field! Check it out and let me know what you guys think: https://basilkh.com/use-social-media-stay-ahead-field/
  24. My issue has been finding willing labs for Bioinformatics Doctoral programs. PIs who are not only willingly accepting students, but who have projects that are both interesting and are making breakthroughs in the world of Bioinformatics.
  25. Freddy

    Bioinformatics vs Data Science

    I would also say that Data Science has become heavily enriched in Artificial Intelligence, more so than I have seen in Bioinformatics or Computational Biology.
  26. I'm in the midst of finishing my application. Could anyone guide me on statistics for acceptances and GRE scores? I am unable to find anything. -Freddy
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