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I'm a postdoc in Marine Science at the University of Georgia. I'm working on metatranscriptomics from marine microbial communities and the identification of novel bacterial sRNAs. I've sequenced with 454 Titanium but I'm mostly using Illumina for transcript sequencing these days. I'm interested in statistical tools for gene expression including Bayesian methods to estimate differential gene abundance and methods for correlating gene expression to environmental variables.
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Hi I´m going to start a metatranscriptomics project too with bacteria from marine samples and we want also analyse in terms of comparisons among them. I´m a little concerned because I have not found approaches in this topic , using mRNA to stablish diferencial expression profiles. Thanks in advance for any suggestions.
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I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before...06-18-2026, 07:11 AM -
Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...06-02-2026, 10:05 AM
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