RNA-Seq Blog

@RNASeqBlog

Transcriptome Sequencing Research & Industry News

Vrijeme pridruživanja: lipanj 2014.

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  1. prije 2 sata

    Researchers from used sophisticated technology, called , to identify the viral that contains the most m6A .

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  2. prije 20 sati

    Researchers from the developed , a tool to assemble alternatively spliced transcripts and estimate their expression on the basis of their internal structural characteristics.

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  3. 4. velj

    of individual parasite cells () provides unique and high-resolution insights into the molecular processes that give rise to infective transmitted at the host bite site. -

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  4. 3. velj

    Researchers at present a comprehensive overview of the current databases and their content, features, and usability.

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  5. 3. velj

    Researchers from the systematically evaluate the performance of 18 state-of-the-art imputation methods using cell line and tissue data measured across experimental protocols.

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  6. 31. sij

    While amplification bias is often taken care by use of (UMIs), normalization is required to remove effects of other technical variations like differences in , cell lysis and efficiency

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  7. 31. sij

    A research team from the , the and the provides the first in-depth look at the of human utilizing to identify contamination and bacterial colonization.

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  8. 30. sij

    To process large-scale () data effectively, researchers have develped SHARP, an ensemble random projection-based which is scalable to clustering 10 million cells. -

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  9. 30. sij

    Researchers at developed the publicly available workflow, , that detects and laboratory vector sequences in samples with high specificity.

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  10. 29. sij

    Three methods for profiling have now been combined to produce spatially defined maps of developing human organs from limited sample material, overcoming a major hurdle in studying .

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  11. 29. sij

    An international team of from , , , , and , use bacterial Tn5 to construct libraries without second-strand synthesis.

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  12. 28. sij

    Researchers at use annotation-independent detection of reads generated using a with low structure bias to identify .

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  13. 28. sij

    “Using that information along with we were able to identify the and for the individual functions that make up the systems that keep the tree alive for so long." -

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  14. 24. sij

    European researchers are at the forefront when it comes to combining technologies with analytical methods and computational tools to enable unprecedented characterization of human cells. - -

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  15. 24. sij

    Through , scientists at & found that a called had a remarkable protective effect against the build-up of protein & also cleared some of the already formed protein clumps.

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  16. 23. sij

    Researchers from have developed the R package for analysis by means of data. It estimates differences of to infer changes in patterns.

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  17. 23. sij

    Researchers have developed 3’Pool-seq: a simple, cost-effective, and scalable method that focuses sequencing to the 3′-end of . The researchers drew from aspects of , , and to implement an easy workflow.

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  18. 22. sij

    Researchers at compare experimental results using temporal controls and biological control types for time course drought stress experiments

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  19. 22. sij

    Researchers at the developed a method for efficient detection of low-expression transcripts & a protocol specifically for T lymphocytes that links each cell’s profile with the sequence of its unique antigen receptor.

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  20. 21. sij

    Researchers from Center for Biosystems Dynamics Research review the existing fast and memory-efficient (PCA) and implementations & evaluate their practical application to large-scale datasets.

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