You are a biologist
Working as a biologist is not as it was a few years ago, isn’t it? Omics-oriented biology changed everything and you spend more and more time point and clicking through automatically generated data. Arrays of any kind and sequencing experiments produce data piling up onto your computer and you would like to know more efficient and faster methods of handling, transforming, visualizing and reporting your data. You don’t need to become a bioinformatician, but you should turn yourself into an infobiologist.
You are a researcher, post doc or group leader
You need answers from your experiments. Unfortunately between your experiments and the answers sits a huge amount of data that need to be collected, organized and digested. You either do not have a bioinformatics specialist to do this work for you or you feel that it’s not so easy to efficiently communicate with your fellow bioinformatician. More than any other thing you need to make sense (biological sense!) of your data, but where you can start from?
You are a lab technician
You’re accustomed to medium to high throughput instruments, such as profiling arrays and next generation sequencers. Maybe you work with small and big gene panels, standardized or not, but you know more flexibility in manipulating your data, filtering your genetic variants, display your data and actually see your results.
You are a clinician, or a life science professional
You deal with medicine, diseases and genetics, but when all this become more omics – genomics, phenomics and more – you feel a bit lost in translation. You need to update your vocabulary and be at pace with modern development in biological data integration, from genomics to electronic medical records.
If you’re one of the above and you do not have time during weekdays for a regular academic educational program in bioinformatics, you should check out our program, designed and delivered by expert bioinformaticians.
Finally, if you are a bioinformatician, computer scientist, computational biologist or bioengineer
Well, if you’re one of these you’re certainly at ease with computational analyses. You probably do not need to be at any of our courses but you could be interested in teaching one! (see here). Also, you may want to learn more and share ideas and knowledge with other peers in an informal environment during our Bioinformatics Meetups.