I am a newbie in bioinformatics and am coming from computer science angle, where developing models/algorithms/programs to solve biological problem is our focus. I want to ask if there is any data input to programs apart from DNA and Protein sequence, especially in developing Gene Regulatory Network or any Biological Process Network
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Have a look at microarray and/or RNAseq datasets (e.g., via GEO). You can then extract expression covariation metrics and construct convenient networks (biological process networks would likely be subnetworks thereof). Those types of datasets would also allow construction of regulatory networks, depending on the dataset.
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by SEQadmin2
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.
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Channel: Articles
06-02-2026, 10:05 AM -
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by SEQadmin2
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...-
Channel: Articles
05-22-2026, 06:42 AM -
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