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Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc
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Started by laura, 05-09-2011, 04:42 AM
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35 responses
107,323 views
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by laura
12-05-2013, 02:37 AM
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Started by sci_guy, 01-23-2008, 11:19 PM
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236 responses
682,959 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by Naina, 02-01-2016, 07:04 PM
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1 response
3,319 views
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Started by ksw9, 02-02-2016, 12:00 PM
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1 response
1,911 views
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by westerman
02-03-2016, 10:45 AM
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Started by Genomics101, 02-03-2016, 08:36 AM
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0 responses
1,805 views
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by Genomics101
02-03-2016, 08:36 AM
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Started by proux, 01-30-2016, 07:37 AM
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4 responses
1,724 views
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by proux
02-03-2016, 08:09 AM
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Started by NadineCast, 02-03-2016, 06:25 AM
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0 responses
1,033 views
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by NadineCast
02-03-2016, 06:25 AM
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Started by sylvian, 09-13-2015, 11:37 AM
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4 responses
1,963 views
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by iandry
02-03-2016, 02:30 AM
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Started by mln, 04-30-2014, 09:34 PM
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4 responses
2,984 views
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by illinu
02-03-2016, 01:02 AM
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Started by dbob, 02-01-2016, 03:11 PM
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2 responses
3,442 views
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by colindaven
02-03-2016, 12:45 AM
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Started by mittymat, 03-30-2012, 05:57 AM
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14 responses
7,020 views
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by kimyam
02-02-2016, 11:11 PM
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Started by Mike_Brown, 02-02-2016, 06:08 PM
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0 responses
1,472 views
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by Mike_Brown
02-02-2016, 06:08 PM
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by SEQadmin2
Childhood cancers, effectively fatal 60 years ago, are now curable for up to 85% of children with access to contemporary treatments and...-
Channel: Webinar Series
05-08-2026, 01:42 AM -
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by GATTACATLove this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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Channel: Articles
07-01-2026, 11:43 AM -
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by SEQadmin2
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...-
Channel: Articles
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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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Started by SEQadmin2, 07-02-2026, 11:08 AM
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0 responses
24 views
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by SEQadmin2
07-02-2026, 11:08 AM
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Started by SEQadmin2, 06-30-2026, 05:37 AM
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0 responses
23 views
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by SEQadmin2
06-30-2026, 05:37 AM
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Started by SEQadmin2, 06-26-2026, 11:10 AM
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0 responses
23 views
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by SEQadmin2
06-26-2026, 11:10 AM
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