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    Tag Archives: single-cell data

    Single Cell Analysis
    BioTuring Cell Search: a new tool to search for similar populations in public single-cell data sets
    by biomembers • January 15, 2020 January 22, 2020

    A machine learning model for cell type classification? When analyzing single-cell transcriptomic data, scientists often perform cell type annotations by checking individual marker genes. However, marker genes are not even consistent among different literature sources. Six months ago, armed with the largest curated single-cell transcriptomic data, BioTuring single-cell team naively […]

    BioTuring Cellpedia, Single Cell Analysis, Single-cell RNA-seq tutorials
    How to explore “Characterizing smoking-induced transcriptional heterogeneity in the human bronchial epithelium at single-cell resolution” (Duclos et. al 2019) | BioTuring Cellpedia
    by biomembers • December 25, 2019 January 22, 2020

    Multiple studies have shown smoking’s effects on the human bronchi. However, few have characterized its precise impact at cellular resolution. Published recently on Science Advances, a study by Duclos and colleagues has employed single-cell RNA sequencing into exploring the cellular changes in the human bronchial epithelium between current and never […]

    BioTuring Cellpedia, Single Cell Analysis
    Exploring “Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma” (Li et al., 2018) | BioTuring Cellpedia
    by biomembers • December 18, 2019 December 24, 2019

    Welcome to our new BioTuring Cellpedia series! We are excited to introduce a new blog series that provides you with an overview of some interesting datasets indexed in BioTuring Browser public repository, a platform for instant access and reanalysis of published single-cell RNA-seq data. Details on their experimental designs and […]

    Single Cell Analysis, Single-cell RNA-seq tutorials
    A sub-clustering tutorial: explore T cell subsets with BioTuring Single-cell Browser
    by biomembers • October 25, 2019 January 22, 2020

    Single-cell RNA sequencing technologies have enabled many exciting discoveries of novel cell types and sub-types, such as the rosehip neurons (Boldog et al., 2018), disease-associated microglia (Keren-Shaul et al., 2017) and lipid-associated macrophages (Jaitin, Adlung, Thaiss, Weiner and Li et al., 2019). While sub-clustering cell populations is essential to find […]

    Single Cell Analysis
    5,500,000 cells will be indexed into BioTuring Single-cell Data Repository this September
    by biomembers • August 30, 2019 August 30, 2019

    We are glad to announce that we will upsize the current single-cell database in BioTuring Single-cell Browser to 5,500,000 cells this September. With this release, we will double the current number of publications indexed in BioTuring Single-cell Browser, and cross the number of cells hosted on available public single-cell data […]

    Single Cell Analysis, Single-cell RNA-seq tutorials
    4 simple steps to perform differential expression analysis in single-cell data using BioTuring Browser
    by biomembers • July 2, 2019 January 22, 2020

    In single-cell data analysis, it is critical to understand how gene expression varies among different cell types, tissue compartments, conditions, or different patients. Although many tools and methods have been developed to support single-cell differential expression analysis, they all require some basic coding skills. In this blog, we show you […]

    Single Cell Analysis
    BioTuring Single-cell Browser: a modern interactive single-cell database with 3D visualizations and downstream analyses
    by biomembers • June 18, 2019 April 13, 2020

    Single-cell sequencing technologies have brought up an unprecedented level of resolution to omics studies with extremely detailed views into individual cells’ expression patterns. With the emergence of drop-based sequencing methods, the resolution now even comes with scale and efficiency. In a single experiment, scientists can now profile hundreds of thousands […]

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