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Should biologists study computer science?
- carterschonwald 17y agoshort answer, yes. Otherwise how can anything useful or meaning be effectively done with the huge volumes data that biologists now have quite frequently. They should also work on their statistics background to so that they can do more sophisticated model / hypothesis testing, but that's a whole separate issue that gets into the matter of education and community incentives and this is not the appropriate forum for that latter topic.
- boblol123 17y agoA computer scientist can effectively analyse large volumes of biological data, I'm not convinced a biologist could do the same because there is just so much computer science related to visualisation, graphics programming and data modelling and their prerequisites. A person who did 1/2 and 1/2 would likely not have enough knowledge or experience to do either the biology or cs side particularly well. Not to mention, there are very few people I know who are good at both biology and cs.
- gnaritas 17y agoI know of one good example, Alan Kay, the inventor of Smalltalk.
- boblol123 17y agoI briefly looked it up, molecular biology would be a good fit though its pretty-much chemistry. It entirely depends on which areas are studied in biology.
- gnaritas 17y agoSure, but what's more interesting is that he credits what he knows about biology as the inspiration for Smalltalk and its particular flavor of OO.
- baxter 17y agoI agree, but only up to a point. Astronomers need to understand telescopes, but astronomy is about studying distant objects. The same applies to biology -- biologists are not bioinformatics specialists.
- jacquesm 17y agoThis is a bit like the welder and the diver question, is it easier to teach a welder how to dive or a diver how to weld ? For divers and welders the answer appears to be that it is easier to teach welders to dive than the reverse, even if both are far from trivial activities. For biologists and computer scientists the answer is probably that it is easier to teach programmers to do biology than the reverse. (good) Programmers have something universal about the way they apply themselves to problems and that way generalizes to problems in a different domain.
- queensnake 17y agoI admit I don't have much to go on, but it seems like biology is a full load of study, whereas at least undergraduate 'computer science' ie programming can be picked up by a smart person almost incidentally. I've seen that done, and I think it /is/ done more often than the other way around. As for writing /good/ code, that can come from practice and aesthetics. But knowing biology (or another science) takes real study.
- plinkplonk 17y agoI think (please correct me if I am wrong, always glad to learn) that one key difference would be that learning computer science would (mostly) need books ,the internet and the time and willingness to buckle down, while a proper study of biology would involve serious lab work, with a need for costly equipment and instructions.
- Retric 17y agoModern biology is so specialized that learning the tools for some area is often far simpler than the track people take getting a PHD.
- jerf 17y agoCasual programming can be learned incidentally, but there is a degree of skill that can not. If you want to build large programs that actually stand a chance of being correct, or performant, you really can't just "incidentally" pick up that skill. That's in the "10 years to mastery" class (and 12 years in I'm still learning, honestly). That said, does biology really need that? Maybe the incidental skill is enough for most biologists. There is definitely a core set of tasks that biologists would need computer scientists for, though. (And for once, probably actual computer scientists and not just "good programmers".)
- biohacker42 17y agoI'm conflicted about this. A little knowledge can be far more dangerous then no knowledge. I have seen things... things I can't unsee. Things done to software by biology and chemistry Ph.Ds that still give me nightmares. But make no mistake, modern science is neck deep in serious computering. Not being computer literate is almost as bad as being just plain illiterate. So here's what I think about this. Every scientists who's not a physicist, mathematician, or computer scientists needs to study more math, more stat, and more cs. In fact I would go so far as to say everyone needs the equivalent of an associate degree in cs to get a Ph.D. in anything. For mathematicians and physicists this would happen almost without any extra effort, for biologists it might be quite a bit of extra effort, but well worth it.
- Retric 17y agoExcluding the humanities, I agree with you. On a more personal level, learning CS skills is often a fallback for people who get a PHD and can't find work in their field.
- davi 17y ago"A little knowledge can be far more dangerous then no knowledge. ... Not being computer literate is almost as bad as being just plain illiterate." Need examples before I can know whether I agree or strenuously disagree.
- biohacker42 17y agoVis-à-vis A little knowledge : One particular Ph.D who I worked with had created a much lauded database. It was done in MS Access. It stored natural numbers. Each sample contained a few gigs of natural numbers. Numbers could be anywhere form 0 to 99999. So each entry contained all possible numbers in increments of 0.02, with Null in all places where the sample did not contain that number. This is what happens when people have never heard of foreign keys or a one-to-many relationship or a many-to-many relationship. This could have been done so it's a lot smaller and faster to search. The place holder could have been a negative int, instead of Null, so that it would evaluate to something other then Null in searches. An infinity of things could have been done better. But when you have Ph.D and you legitimately think of yourself as brilliant. AND you are used to doing a lot of HARD work, then heroics with MS Access just seem natural, right, that's what hard science is damn it. And this is why a little knowledge can be worse then no knowledge. If that guy had instead hired almost anyone else to design the database, he would have been better off. It's hard to imagine anyone who could have screwed up worse AND had the tenacity to stick with it. PhDs are not just smart, but they also are used to working hard so when things get hard they don't quickly perceive that as signal to try something else. As to being computer illiterate: A field biologists might get away with it, but anyone working in a lab will sooner or later measure something with an instrument entirely controlled by and accessed though a computer. Let me say that again, a computer is the gate keeper. And it's not enough to simply know how to use the GUI/API what ever. You have to also know at least something about the algorithms involved in the analysis. Because a lot of analysis of things that can't be seen with the naked eye is actually statistical inference of what's there. Let me say that again, a whole of of stuff is not measured in the way a lay person thinks of measuring, it is inferred using fancy math. But make your math a bit too fancy and you're just making stuff up now. Use a second order polynomial and you're good, use a 3rd or higher order and you can see anything you want. There's a reason we use cubic b splines for computer graphics, it's because we can fit them to any shape we want! And oh yeah I've seen 3rd order polynomials used in science, no they were not used correctly.
- TrevorJ 17y agoCorollary: should Computer scientists study biology? Yes
- jacquesm 17y agoAgreed! If you can get your hands on a copy of a university level textbook in genetics that will be some of the best time you could invest in learning something about another field unrelated to the one you are currently in.
- TrevorJ 17y agoFrom the 10,000 foot level I think it is related, and will become more and more related as time goes by. DNA seems to be a pretty robust information encoding and executing system. There's a lot we could learn from it.
- jacquesm 17y agoAbsolutely. The first time I read what a ribosome does my immediate thought was CPU/Turing machine. There are so many analogies it is scary. Nano technology is here to stay, it's called life.
- tom_b 17y agoThis article is timely for me, having recently started a new job in bioinformatics. Specifically, building a centralized database (warehouse) for a variety of cancer research study data. I'm coming from the opposite direction - a computer science background to the biology. A huge challenge for me is rapidly learning enough of the biostats and process to understand how to allow researchers to leverage having all this data in one place, easily accessible, and with a front-end that makes "sense" to the those MD/PhD types. A starting point is understanding what type of questions researchers can ask now that they have all the different data in one spot. Fred Brooks said something like "computer scientists are toolsmiths." We build tools for user needs that simplify and strengthen the user's work. This requires the ability to somehow understand the user's needs, communicate with them effectively, and implement usable tools for them. I sometimes feel like it is a failure on our part as builders to make it necessary for people who need software tools to build their own. I'm more than happy for other fields to add more CS type education to their required courses, but I'd rather be able to give researchers tools so that they stay on their critical path, rather than having to learn enough to hack together their own full solution.
- tome 17y agoHow about having biologists work side-by-side with experts in data analysis and statistics, rather than requiring the scientists be be experts in all fields?
- Agathos 17y agoOften leads to the statisticians giving the biologists tutorials in statistics and the biologists giving the statisticians tutorials in biology. Which is okay, but then you have to wonder if more formal study up front would have been more efficient. Which brings us back to this topic.
- ken 17y agoThe article is about computers as "part of biological research". I wish it had been about the real place I want biologists: designing the computer systems themselves. Biological systems have scaling and reliability that we computer scientists only dream about. (Can you name a self-repairing computer system that runs for 80 years?) I want computers with the kind of systems thinking that biological systems have, not just more x86 cores on a single chip. The only biologist I know who switched to designing computer systems is Alan Kay. I think we could do with a few more like him.
- jganetsk 17y agoEVERYONE should study Computer Science. The questions are, how much and what parts?
- stevenbedrick 17y agoWell, as a reformed biologist and current informatician, I certainly think that biologists should study CS. However, even more important than studying CS, they absolutely NEED to learn how to program. I've seen lab scientists use extremely convoluted and error-prone workflows to conduct their analyses and experiments- workflows that, if they knew just a little bit of Python, would have been much simpler. I'm actually teaching a class in the fall on "utility scripting" to a mix of molecular biology PhD students and informatics master's students for just this reason. Regarding the age-old question of "should biologists learn CS or should CS people learn biology", I'm firmly in the camp of biologists learning to do their own CS, or at least learning enough CS to productively work with CS people. A little bit of CS really goes a long way towards improving a biologist's workflow. A little bit of biology, however, is almost completely useless for a CS person who wants to get involved in lab science. It really takes a surprising amount of domain knowledge to be productive in a laboratory, or even to understand the nitty-gritty details of an experiment at a deep enough level to write or modify an existing bioinformatics tool.
- boblol123 17y agoHaha, you have the opposite opinion of me, but you also pretty-much have the exact opposite experiences too. Maybe we both know a lot in our "main" subjects and think of all the underlying knowledge/related material is required to be useful, but in reality you can just pick up the knowledge you need on its own without any background knowledge on how it all works, you'll be confused when that stuff in mentioned or brought up, but if you stay in your niche you'll be fine.
- stevenbedrick 17y agoOne aspect of the article that I haven't seen much discussion of is the second part- about representing biological processes using an algebraic notation. While this might be really helpful for computational biology, it strikes me as a lousy idea for general work, because it presents an overly reductionist view of what's going on. Biomolecular pathways are almost never as simple as they seem at first, and they always interact in weird and complex ways. Presenting them as a big, gnarly, nasty diagram communicates this to readers... explaining them using nice neat equations makes the whole thing seem both simpler and better-understood than it probably really is.
- buckwild 17y agoIn case you guys are wondering about current college curriculum, I just graduated with a BS in biotechnology-bioinformatics so I can provide a little insight. My core classes consisted mainly of biology, chemistry, organic chemistry and physics. Other classes that my degree required was advanced mathematics (with biological application), advanced statistics, and computer science. About the computer science portion of my degree: I was required to learn C, C++, discrete math, Perl, and data structure/algorithm design. I chose to take machine language as an elective. What I've learned in industry: The CS foundation I built in college was critical. Although Perl is widely used where I work, languages like R and C are used more often (for my particular projects). I've also learned that my job is to bridge the gap between biologists and computer scientists. Biologists say what they want to get-> Statisticians/Mathematicians think up a procedure -> I make sure the formulas make sense with the subject at hand, program it in Perl or whatever -> CS people optimize it and do their magic to make it run super fast -> checked by everyone to make sure its okay. -> stats analyze and feedback to the biologists. My point being, I always think everyone should learn more math, but the industry has found a way to get around everyone needing to learn everything (jack of all trades master of none) to having experts work together towards a common goal (an oceans 11 type set-up). Everyone has something special to offer. Personally, I think the current set-up is working fine. Although everyone should learn more advanced math (or biologists should learn more CS), not everyone is willing and/or capable. I hope this was helpful.
- biohacker42 17y agoUpvoted for comparing science work to oceans 11.
- pchristensen 17y agoUseful links for those interested in this crossover: Great Principles of Computing: http://cs.gmu.edu/cne/pjd/GP/GP-site/welcome.html http://cs.gmu.edu/cne/pjd/GP/GP-site/welcome.html 90 min talk by Peter Denning about Great Principles: http://www.youtube.com/watch?v=5a_pO3NYJl0 http://www.youtube.com/watch?v=5a_pO3NYJl0
- tybris 17y agoProbably both could do with more math.