Kaur Alasoo

@kauralasoo

Research fellow . Deciphering principles of gene regulation from large-scale genomic datasets.

Vrijeme pridruživanja: travanj 2009.

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  1. proslijedio/la je Tweet
    prije 10 sati

    If you like the look and feel of the Open Targets Platform, maybe you might also be interested in helping develop it further? Here's an opportunity:

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  2. proslijedio/la je Tweet
    2. velj

    What asks has been done, with null results, (&many caveats ) by world leading team of Jensen, Ajslev, Brunak & Sørensen. Sad that in this over-hyped literature such ingenious studies answering the "is there a question?" question are ignored

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  3. 1. velj

    Population variation of miRNAs and isomiRs and their impact on human immunity to infection

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  4. proslijedio/la je Tweet
    30. sij

    How can we sort the wheat from the chaff of hits & find causal variants & genes for ? ☑️ Genomewide meta-analysis ☑️ Fine-mapping ☑️ Coloc et al tell us more in this latest preprint. W/ .

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  5. 30. sij

    Finally, if you want see how our results can be used to prioritise target genes for Alzheimer’s disease, check out the latest paper from 9/9

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  6. 30. sij

    This would not have been possible without the great team: , , James Hayhurst, , , , , . Support from , and . 8/9

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  7. 30. sij

    A subset of the results have already been integrated to the Genetics Portal (). 7/9

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  8. 30. sij

    All summary statistics can be downloaded by FTP or accessed via a REST API: 6/9

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  9. 30. sij

    We have mapped QTLs at the level of gene expression, exon expression, transcript usage, and promoter, splice junction and 3ʹ end usage. 5/9

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  10. 30. sij

    We have re-analysed raw gene expression and genotype data from 19 published eQTL studies (8,115 RNA-seq samples and 4,631 microarray samples from 4,685 unique donors). 4/9

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  11. 30. sij

    This is especially relevant for transcript-level and splicing QTLs where the results vary greatly depending on which reference annotations and quantification methods are used. 3/9

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  12. 30. sij

    A major hurdle in re-using published eQTL datasets to interpret GWAS results is that summary statistics are often unavailable of incomplete (e.g. missing betas, effect alleles or non-significant associations). 2/9

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  13. 30. sij

    We are extremely happy to present our latest work on setting up the 1/9

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  14. proslijedio/la je Tweet
    29. sij

    Great to see the first study using eQTL Catalogue summary statistics already published!

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  15. proslijedio/la je Tweet
    28. sij

    I'm excited to share our recent work on Alzheimer's disease - genetic meta-analysis followed by fine-mapping, coloc with QTL datasets, and network analyses to prioritize genes. Different lines of evidence reinforce prioritization.

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  16. proslijedio/la je Tweet
    27. sij

    Hello, world! If you are curious about our new data release, sign up for the webinar on Feb 12th, 3:30pm GMT

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  17. proslijedio/la je Tweet
    23. sij

    Great talk from , reporting on the heroic work done applying for access and harmonising data from many sources to create the EQTL catalogue:

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  18. proslijedio/la je Tweet
    19. sij

    Excited to make use of the increasing number of open databases, including this eQTL catalogue and the recently launched

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  19. proslijedio/la je Tweet
    18. sij

    Wonderful to see this finally out: an e/sQTL database spanning multiple studies, generated using a uniform pipeline. Great work from , , and colleagues.

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  20. proslijedio/la je Tweet
    17. sij

    Interested in the link between gene expression and splicing quantitative trait loci ()? Check out our brand new eQTL Catalogue – a gateway to eQTL data from all available human studies

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