Rezultati pretraživanja
  1. 1. velj

    In our & work we use 's databases. Two months ago noticed some inconsistencies between 's cDNA fasta and GTF files and investigated with . Now has written up an in-depth analysis:

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  2. 28. sij

    I'm teaching an introduction (to an introduction) to single-cell RNA-seq today and making use of slides that others might find useful:

  3. 29. sij

    Cell atlas of the human thymus during development | | Tom Taghon, Muzlifah Haniffa & Sarah Teichmann | Preprint

  4. prije 2 sata

    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.

  5. prije 1 sat

    Join us for our first of 2020 - we're visiting St. Louis, MO for an Symposium, Mar3rd -with notable scientists discussing how they in fields of and more! Register today!

  6. 29. sij

    Our new computational course in , 15-17 June. Application deadline April 15. We will cover , bulk , and analysis with hands-on exercises using . . apply at

  7. 2. velj

    Mapping human cell phenotypes to genotypes with single-cell genomics. Fig. Genetic manipulation toolkit to link phenotype to genotype by using stem cells Ref:

  8. 1. velj
  9. 31. sij

    A generic roadmap for RNA-seq computational analyses. The major analysis steps are listed above the lines for pre-analysis, core analysis and advanced analysis. Ref: A survey of best practices for RNA-seq data analysis ()

  10. 31. sij

    Twitter, help me! I've seen recently here a paper in which they developed a method to drastically increase the number of cells captured ans sequenced using 10x scRNA-seq kits. I cannot find it again... -cell

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  11. 31. sij

    Single-cell RNA expression profiling of ACE2, the putative receptor of Wuhan 2019-nCov "Coronavirus specifically likes to infect Asian male" Fig. Single-cell analysis of normal human lung. Ref:

  12. 31. sij

    Modeling metabolic variation with single-cell expression data Fig. Tissue and cell type context-specific metabolic models constructed using Tabula Muris scRNA-seq dataset ​(Schaum et al., 2018) Ref:

  13. 30. sij

    Comparison of visualisation tools for single-cell RNAseq data. In the last decade, single cell RNAseq (scRNAseq) datasets have grown from a single cell to millions of cells. Ref:

  14. 30. sij

    ok, seurat V3 solved this issue of masking high expression cells in scatter plot

  15. & mentioned PCA, UMAP and TSNE methods for visualizing high dimensional data at their keynote We use them also in like in It’s great to see the overlap in methods across fields ^^

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  16. 29. sij

    Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia. Ref:

  17. 29. sij

    Normalizing single cell RNA sequencing data — Pitfalls and Recommendations The goals of a single cell RNA sequencing (scRNA-seq) project are often Identification of subpopulations and Differential Gene Expression Analysis. Ref:

  18. 29. sij

    🌞☕️👩🏻‍💻 + = 🤔 scMAGeCK links genotypes with multiple phenotypes in single-cell CRISPR screens.

  19. 29. sij

    Excited to give this a try. Struggled to get velocity tools to download and install.

  20. 28. sij

    Single-cell analysis in 48-plex drug treatment experiments. Ref: Multiplexed Single-Cell RNA-seq via Transient Barcoding for Simultaneous Expression Profiling of Various Drug Perturbations ()

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