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About Us
Our Mission
Our mission is to advance scientific research and discovery by sharing knowledge and enabling collaboration. We have created an open-access community of members from diverse backgrounds to freely learn and discuss the development and utilization of sequencing technologies.
Our History
SEQanswers was established by Eric C. Olivares (ECO) in 2007, aiming to foster scientific collaboration and communication. The platform quickly attracted tens of thousands of members, emphasizing transparent, honest, and open dialogue among end-user scientists. In 2022, Biocompare took over SEQanswers, further enhancing Eric's foundational work. Under Biocompare's stewardship, the platform has seen numerous enhancements, including editorial articles, news, eBooks, webinars, newsletters, and more. Today, the SEQanswers team remains deeply committed to facilitating scientific discovery and bolstering the community.
SEQanswers Staff
SEQanswers is currently run with the support of Biocompare, the leading resource for up-to-date product information, product reviews, and new technologies for life scientists. Benjamin Atha is the editor and oversees all the editorial content for the site.
Latest Activity
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Reply to NGS new userby andyrollerHi C. Raio,
What kind of projects are you planning to tackle with the Illumina MiSeq, and how do you find the learning process so far?-
Channel: Introductions
03-14-2025, 05:48 PM -
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by MeliBioHi everyone,
I am working with long-read sequencing data (ONT) and I am investigating a ring chromosome. I was wondering if it is possible...-
Channel: Bioinformatics
03-12-2025, 01:53 AM -
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by MeliBioHi everyone,
I am working with long-read sequencing data (ONT) and I am investigating a ring chromosome. I was wondering if it is possible...-
Channel: Oxford Nanopore
03-12-2025, 01:04 AM -
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Due to last-minute cancellations, we now have two open spots for next week's Single-Cell RNA-Seq Data Analysis Workshop and three open spots for the RNA-Seq...
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Channel: Bioinformatics
03-10-2025, 11:32 PM -
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by EdinburgherI have a few hundred SE50 samples from the old days. The rest are all by PE150. To combine them, I converted PE150 to SE50 by taking only R1 and trimming...
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Channel: Bioinformatics
03-10-2025, 10:59 PM -
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by RafaellaSBHey everyone, I'm working with ONT data and trying to extract methylation calls while keeping the MM tags from Dorado. My workflow is:
Modified...-
Channel: Bioinformatics
03-10-2025, 06:02 PM -