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Search below to delve into the Bitesize Bio archive. Here, you’ll find over two decades of the best articles, live events, podcasts, and resources, created by real experts and passionate mentors, to help you improve as a bioscientist. Whether you’re looking to learn something new or dig deep into a topic, you’ll find trustworthy, human-crafted content that’s ready to inspire and guide you.
You know the drill. To prove your theory, you must show the colocalization of X and Y in a cell. Here are 2 ways to reveal protein colocalization.
Want to know the best way to perform relative quantification for your qPCR data? Read on.
Thinking about studying extracellular RNA and in particular microRNA? Read on for some great tips for extracting circulating microRNA.
Droplet digital PCR? It’s easy. Because we’re here to guide you through it. We recently introduced you to the principles of digital PCR technology and how it differs from qPCR. In a nutshell, digital PCR is an end-point PCR technology that divides a single PCR into a large number of partitions, and then perform PCR…
Good quality starting material is king for reverse transcription! Obtaining reliable results in any experiment requires good preparation. We often take reverse transcription for granted, and we don’t always consider that our qPCR might be performing poorly because of problems in that step. Since it’s quite often the reverse transcription reaction itself that causes fuss…
In austerity times, nothing is in excess. Apart from saving reagents, which can be refilled with extra financial injections, there is a commodity that cannot be easily resupplied – tissue samples! If, like me, you have experienced the fear of not having enough sample for performing a qPCR, western blot, and conventional PCR from the…
In the last years, the need for using statistical testing in bioscience has grown exponentially and so has the development of statistical software. It is now common that everyone is using some sort of stats in their basic research. Among the skillful biostatisticians, R is the most popular software for data analysis, but not all…
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