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Biology 21 Online
OpenStudy (blues):

So Biology, I am of a mind to play another bio challenge - if there is interest. The point of the bio challenge being that you are given a problem as met in real life (i.e., experimental data) which is more relevant, enjoyable and harder than your homework. So let me know if you all want a challenge. If so, I will put one together. For reference, please see: http://openstudy.com/users/blues#/updates/4f29def6e4b049df4e9df612

OpenStudy (opcode):

+1 I am interested and I think it is a great idea. My teacher already does something like this in her class, and we usually have fun discussing the answer later on, as well as I will probably learn something new too. I cannot wait to see your idea in action. :-)

OpenStudy (shrutipande9):

ohh yes blues....we all bio lovers would like something like this..:) lets test our mettal..:)

OpenStudy (anonymous):

I'm ready :)

OpenStudy (blues):

Thanks for the feedback. I will put one together. Does anyone have a preference as per the general field of biology this comes from (molecular biology, bioinformatics, ecology, etc) or should I just pick one and go with it?

OpenStudy (opcode):

I prefer bioinformatics, though any field seems interesting. I just hope I can answer the challenge. :-)

OpenStudy (abb0t):

are these topics covered in connexus life sciences 2b???

OpenStudy (blues):

No, they are from Connections Academy 9A for your info. Seriously, they are hard probs. I want to see how high people here can jump. And how well they can work with each other. I'd say more advanced undergrad/basic grad school for level.

OpenStudy (abb0t):

im only in connexus 2B. so goodbye!

OpenStudy (shrutipande9):

i would prefer molecular biology...:)

OpenStudy (anonymous):

I don't study anyone as major Subject ,I just know their definition :P Anyways I try my best to answer :D

OpenStudy (blues):

How hard do people want this question to be? I lean toward a very hard RNA Seq problem - as in give you some transcripts (segments of hydrolysed mRNAs), have you map the transcripts back onto the sequences they came from and interpret the data - that will involve some very hardcore bioinformatics and molecular biology. And will necessarily be too hard for any individual to solve without working with each other. But I could come up with a less hard protein structure or molecular evolution data problem if people were not quite so interested, or don't have quite so much time to devote to the challenge. Let me know.

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