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by kjs3
4666 days ago
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Python and R are the cool new kids in bioinformatics, seem to be ubiquitous and there are tons of resources to get you up to speed. SAS, Matlab and to a lesser extent SPSS are more old guard, but there are a lot of folks who still use them. If you want to get really old school, Fortran is still in use, though I see it more on the physics side of the house. If you're really looking to differentiate yourself, I look at combining Python or R with one of the 'big data' infrastructures (e.g. Mapreduce, NoSql, SQL). Then you'll be able to sell yourself as not only being able to analyze the data, but understand the data collection, handling and storage aspect as well. |
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