At the end of 2017 we wrote an article about bioinformatics, as an introduction to the technology, major players and current goings-on in the market.
The article was received really well, provoking some really interesting conversations, but one comment in particular caught my eye, from Martin Gollery.
Here it is:
It might have taken 10 months but I’d now like to address the topic of open source vs proprietary software in the bioinformatics space, and hopefully complete, or at least continue, the discussion!
So thanks Martin, and here goes.
What’s the difference between Open Source and Proprietary Software?
The biggest difference between the two is price, or the lack of. Open source is free to use, built by academics, and available for anyone to download, get their hands on and alter the source code.
This means that open source software can be perfect for some organisations. The capability to utilise and edit all aspects of the software means that if you have the skills, you can create a bespoke software package for your business.
Proprietary software, on the other hand, is not free. It’s usually created by large software companies who then sell licences (although other formats are available) to clients. It will usually have a much more focused purpose and providers have specialist customer service teams available to assist with any problems. They make sure to continually update the product with new releases to improve the user experience. As it’s a product designed to be used for the long term, providers also have the ability to work with customer feedback. That’s different to open source where, typically, once releasing the software, the owners’ focus will then shift to working on something new.
One well known example of open source vs proprietary software comes with operating systems. Linux is open-source, available for anyone to download for free, although it is notoriously difficult to use for average computer users looking to ‘plug and play’. On the flipside to this, tech giant Microsoft’s paid offering, Windows is perfect for the average user.
But let’s explore the differences a little more. By talking about cooking.
Home Made vs Restaurant
One way to think about open source software is like you’re cooking a meal, for yourself, at home. With the internet’s assistance, you can literally have anything you’d like in the world. Just find a recipe, source the ingredients and get started.
The quality of the end product largely depends on your own cookery skills. If you don’t know how to steam or sauté, then this probably isn’t the best route to go down.
Also, if something does start to go wrong mid-cook then, outside of your friends or family, there’s no one you can turn to for help. It might mean that you end up with something a little different than what you set out to achieve.
You also might find yourself ‘making do’ when it comes to some ingredients. You might use regular table salt because you just weren’t able to find that pink Himalayan rock salt that the recipe demanded (often, drivers aren’t designed specifically for open-source software – users make do with existing, generic ones).
The benefit of cooking for yourself means that, if you have the skills, you can make something that is perfect for you. You can cater for your own individual tastes, however unique, weird or wonderful, in ways that a restaurant trying to appeal to the masses couldn’t. You just have to be prepared to take on the risk in case it all goes a bit wrong, unless you’re a great chef/ developer.
Still with me? Good.
The proprietary route is the equivalent of going to a restaurant. Compared to being able to choose from everything in the world, you have a small selection on a menu to choose from. You can rest assured that the restaurant will be good at these few things. If not, you’re well within your rights to send it back or lodge a complaint with one of the waiting staff who are on hand to make sure you have a good experience.
You usually know what you’re getting when you go to an Italian, Mexican or Chinese restaurant. Proprietary software works in the same way. If you’re looking for secondary or tertiary analysis software you can go to a specialist provider of this. You’ll pay for quality, and the assurance of a working, useful product.
Just because it’s off the shelf doesn’t mean you can’t customise it either. Just like when placing your order, software providers will always go through an information gathering stage designed to match their product to your preferences. So if you don’t want pickles on your burger, that’s ok.
Crucially, there is a limit to what you can change. Lastly (thanks for bearing with me on this), your personal preferences when it comes to the look of the restaurant in terms of decoration, cutlery, or music likely won’t be listened to. If the rest of the restaurant’s customers don’t mind those aspects then they aren’t going to bend over backwards to meet your needs. The user/customer experience needs to appeal to the many, not the few.
What About Bioinformatics?
Don’t worry, that’s the last of the restaurant references. But now we’ve gone into some detail about the differences between the two types of software, how does it apply to bioinformatics?
In bioinformatics, most people engaging with software will be the equivalent of ‘chefs’ (ok, that’s the last one) as it’s not exactly a mainstream pursuit, so the lack of plug-and-playability shouldn’t be a stumbling block for the average bioinformatician.They’re already well-versed in the complexities of software development and computer programming.
Which explains the popularity of programmes like GATK, Galaxy and BLAST.
However, the proprietary route can eliminate the need for computer whizzes altogether, potentially leading to a cost saving in that department. As the software is so easy to use, it makes everyone more capable of carrying out the same complex procedures.
However, even if something is created for free, it still needs maintenance and troubleshooting which usually means further investment. Usually, open source software is created in academic institutions and funded by University funding or grants, but this eventually runs out.
Whilst there is an engaged and passionate group of developers online who will often pitch in to help maintain open-source software, passion will only go so far.
This means that, whilst bioinformaticians can, in theory, have a low cost or free, super customisable solution, there is always the danger that problems will arise further down the line. Those problems may not be fixed straightaway, or the software could become outdated due to a lack of updates as funding dries up.
So, which is the best? That’s the million dollar question, and I’d like to finish by putting it to you.
Working in this field, do you opt for a tried, tested and pricey proprietary package from the likes of DNAnexus, Seven Bridges or Illumina, or go with the efficiency and cost-effective open source software? Or a mixture of the two? Get in touch and let us know!
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