There are basically three fields people can talk about when they mean bioinformatics. I use some slightly arbitrary naming below, mostly to categorize them in a way which I think makes the most sense. I'll use some jargon, so if you're not sure what something means, do ask.Rosiv said:To be honest I have no idea. I purchase these bioinformatics books a while back because I was interested in the field. I had previously taken an "introduction to genomics" class as well as a discussion based class on genomics. So I figured drilling through some books would be a good idea. I have not had a chance to touch them yet though since I have been busy with coursework.Alleged_Alec said:Final year theoretical biology masters student here. I'd try to get a copy of "the analysis of biological data". It's the statistics book we used in the first year of my bachelor.Rosiv said:How would one suggest the learning of statistics, for a would-be biologist? I am interested in genomics and bioinformatics but lack a strong math or coding background.
However, while it very well explains how statistics should be used on biological data, it's not the best book at explaining the statistics behind bioinformatics. However, that's a seriously complicated subject to begin with, to be honest. Furthermore: bioinformatics has become such a huge field that the word is slowly becoming a useless descriptor. What do you mean with bioinformatics?
1: Theoretical biology- in this field, mostly mathematical models (for example ordinary differential equations) are used to describe biological systems. Examples of these systems includes a wide range of subjects, such as virus-host and predator-prey interactions.
2: Computational biology- although this has a lot of overlap with 1, I do think it's important to separate them, since a different skillset is required. Here, it's not mathematical models which are important, but computer model. A lot of work here is done in spatial systems, such as for example Ten Tusscher's work on root topology. Additionally: this field also includes the wide class of evolutionary models.
3: Bioinformatics- this is the big data analysis. Making evolutionary trees, correlating transcriptomes from different species, that sort of stuff is all done by the bioinformatics group in the research group I've worked in. Their toolset often includes software such as BLAST and HAMMER. Research done by these people is often along the lines of finding out what was in the genome of common ancestors of species, or looking at co-evolutionary properties of genes, both in the genome as well as in how they are transcribed. Lastly, I'd also say the metagenomics would be a part of this category.
Their work I have least experience with, to be honest, but from what I've heard it's one part coding, two parts biological knowledge and three parts experience.
Yeah. Coding can be pretty hard. Which language did they make you learn in? I found Python as my first language much better than the stuff they did in my CompSci minor. It is high-level enough that you don't have to worry about too much, and once you have learned programming logic in Python, then switching to other languages becomes much easier, since it becomes a matter of learning the syntax and quirks of that language, rather than also having to worry about the logic of programming in general.I am unsure if I want to go to grad school and study the field further. My computer science skills are poor, as I flunked out of the major originally.
Let me ask you this: is either something you would see yourself doing for more or less the rest of your life? A good pay is nice, sure. However, if your heart's not in it, you're eventually going to crash and burn. Believe me: I know.I just would like to develop my skills in my spare time to get to a respectable level and flourish in a graduate school program if I do decide to attend.
The alternative would be doing anything in the medical field, like a PA, PT, or Medical tech. I would enjoy the possible nice pay, but doubt I could handle the stress/loans/MCATS.
Note: I'm not too familiar with USA curricular terminology, but from my looking stuff up, it seems like GRE is a test you need to enter a masters degree, right?(For context in my lack of skill in biology, upon taking my Biology GRE exams I scored a 40 percentile, which I was told was poor)
Given your earlier statements of doubt, I think this is a good thing to do. If you do want to continue your education, you will want to do something where you're genuinely interested in.As of now, I am planning to take 1 extra year to "figure things out", taking more coursework correlated to the medical side (Anatomy, Biochemistry, Microbiology...) while also hoping to work as a laboratory technician at my school, helping to prep student labs.
Hope if this helps in any manner. If you have any further questions, be sure to ask them, and I'll answer to the best of my abilities.