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GENCODE release and assembly info #19

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aiqc opened this issue Jul 7, 2023 · 2 comments
Open

GENCODE release and assembly info #19

aiqc opened this issue Jul 7, 2023 · 2 comments

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@aiqc
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aiqc commented Jul 7, 2023

Is there a way to tell which release of GENCODE (https://www.gencodegenes.org/human/) the files were created with? There are many released tied to GRCh38 at this point.

For example the STAR files:

Screenshot from 2023-07-07 09-10-06

Should that be a dropdown in the sync command builder?
https://ewels.github.io/AWS-iGenomes/

Given the last update of this repo was 4 years ago, it has me worried that these are 4+ years out of date

@aiqc aiqc changed the title Ensembl release Ensembl release info Jul 7, 2023
@aiqc aiqc changed the title Ensembl release info Ensembl/ENCODE release info Jul 7, 2023
@aiqc aiqc changed the title Ensembl/ENCODE release info GENCODE/ Ensembl release info Jul 7, 2023
@aiqc
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aiqc commented Jul 7, 2023

Also, which assembly were these created with?

@aiqc aiqc changed the title GENCODE/ Ensembl release info GENCODE/ Ensembl release and assembly info Jul 7, 2023
@aiqc aiqc changed the title GENCODE/ Ensembl release and assembly info GENCODE release and assembly info Jul 7, 2023
@ewels
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ewels commented Jan 12, 2024

Yes, the AWS-iGenomes references are now getting very old. See https://nf-co.re/docs/usage/reference_genomes :

Warning

The transcriptome and GTF files in iGenomes are vastly out of date with respect to current annotations from Ensembl e.g. human iGenomes annotations are from Ensembl release 75, while the current Ensembl release is 108. Please consider downloading and using a more updated version of your reference genome as outlined in the next section.

Most of the assets in AWS-iGenomes are taken from the illumina iGenomes project (as mentioned in the readme). This project has not been updated my illumina in many years, and AWS-iGenomes has grown stale with it. Currently, AWS-iGenomes updates are extremely manual and rely on a sole maintainer (me).

We are (and have been for some time) actively looking into a replacement for AWS-iGenomes back end that will be much easier to maintain. Future efforts will instead be community driven and highly automated.

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