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iGenomes data set....which to use?
Can anyone shed any light on the relative merits of the 3 sources of reference data available on iGenomes (UCSC/NCBI/Ensembl)?
Thanks
Huw
Thanks
Huw
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They all (currently) share the same genome assembly for humans and mice.
The differ in the annotation (where exactly are genes, what are they called, how do the transcripts look like?).
I personally prefer to work with Ensembl, since they have a clear release policy (making it easy to reference the exact data you were using) , archives of older releases , a consistent set of 'stable ids' for genes/transcripts/proteins, the largest set of (chordata) genomes and provide backlinks for the evidence for each transcript.
UCSC is often a bit more cutting edge, they have somewhat of an ongoing release process, nowadays include ENCODE genes (which in turn come from Ensembl...).
Can't really say anything about the NCBI.
So long,
Florian -
Good question. I've heard anecdotally that using cufflinks with RABT assembly using refseq/ucsc gives you MANY more novel isoforms than when using Ensembl. Why or whether that's a bad thing, I'm not sure.Comment
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@turnersed: Guess the first question is whether they're real 'novel' isoforms, or had already been in Ensembl.Comment
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Love 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.07-01-2026, 11:43 AM
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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...
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