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Showing posts with the label bioinformaticians

Sequencing: From the wet lab to the dry lab

Here I'll share some experiences for sequencing samples by RNA. Most of them will be useful for other techniques and also for single cell sequencing (or scRNA-seq). Here I'm assuming that you do a short-sequence technique from Illumina or similar companies. Also I'll provide some tips to make easier the life of the bioinformatician that will analyse the data. Don't expect to find how many reads for sample you need or which design is better or which machine. Neither I will talk about prices or provide a list of companies and scientific platforms to look for. I won't cover how to analyse the data, or compare pipelines to process RNA-seq. Hope this post is more practical than all that but less technical. Before sending: Get ready You carried out your experiments and have already extracted the RNA from patients, mice, rats, cell cultures or whatever are you studying. You have them named with sensible names for your experiment like A+B-, 4789/Diff, 256-w046 and u...

Views of a pet bioinformatician

My research group has three bioinformaticians, but the team is mostly wet lab focused. So I consider myself and my colleagues as pet bioinformaticians . I could also be considered a clinical bioinformatician , and I want to share my (little) experience so far: Communication My lab is mostly wet lab but my boss has several bioinformaticians, despite not understanding much the mathematical/technical aspect of what we do. She is mostly interested in which genes are up-regulated, or which microorganisms are involved in the disease (inflammatory bowel disease). It is often difficult to explain my concerns with using some methods. For instance, she wants to know which microorganisms are related to which genes from the mucosal intestine. She frequently asks me for the correlations between them, without considering that this way we might have lots of noise from different sources like the diet that different patients follow. At the same time I also need to make is easy to understand the m...

Bioinformatics News April

To improve my Bioinformatics report, I started using a couple of tools. I tried to include the page with less ads when possible, if you find any source too crowded with ads please let me know: Genome Canada Launches C$30.5M Genomics Innovation Network and makes  $24M pivo t to bolster bioinformatics capabilities Genenentech search for bioinformatic  chief after Robert   Gentleman leaves for 23andMe Appistry extends its tools and services for analyzing Next-Generation Sequencing data with GenomePilotNIAID-led partnership seeks to establish bioinformatics centers in Africa Curoverse announces new infrastructure software for precision medicine, genomics and bioinformatics : A beta of cloud and on-premise solutions for organizations and individuals using the new Arvados open source software platform to manage, process, and share genomic and biomedical data is now public Sequences onlline Discover the global bioinformatics market 2020 due to the increase...