Results 11 to 20 of about 183,994 (309)
, 2023 The single cell RNA sequencing data of parenal PC9, DTP and ...
Daniel Leite (12799943)
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ScRNA-seq and ST-seq in liver research
Cell Regeneration, 2023 AbstractSpatial transcriptomics, which combine gene expression data with spatial information, has quickly expanded in recent years. With application of this method in liver research, our knowledge about liver development, regeneration, and diseases have been greatly improved.
Jia He +3 more
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The Application of Single-Cell RNA Sequencing in Mammalian Meiosis Studies
Frontiers in Cell and Developmental Biology, 2021 Meiosis is a cellular division process that produces gametes for sexual reproduction. Disruption of complex events throughout meiosis, such as synapsis and homologous recombination, can lead to infertility and aneuploidy.
Yiheng Peng, Huanyu Qiao
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DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species
Computational and Structural Biotechnology Journal, 2021 With the advent of single-cell RNA sequencing (scRNA-seq) technologies, there has been a spike in studies involving scRNA-seq of several tissues across diverse species including Drosophila.
Yanhui Hu +11 more
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Compression of quantification uncertainty for scRNA-seq counts [PDF]
Bioinformatics, 2020 Abstract Motivation Quantification estimates of gene expression from single-cell RNA-seq (scRNA-seq) data have inherent uncertainty due to reads that map to multiple genes. Many existing scRNA-seq quantification pipelines ignore multi-mapping reads and therefore underestimate expected read ...
Scott Van Buren +5 more
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Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review
Genomics, Proteomics & Bioinformatics, 2022 Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously.
Matthew Brendel +5 more
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Gene representation in scRNA-seq is correlated with common motifs at the 3′ end of transcripts
Frontiers in Bioinformatics, 2023 One important characteristic of single-cell RNA sequencing (scRNA-seq) data is its high sparsity, where the gene-cell count data matrix contains high proportion of zeros.
Xinling Li, Greg Gibson, Peng Qiu
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Cerebro: Interactive visualization of scRNA-seq data [PDF]
Bioinformatics, 2019 Abstract Summary Despite the growing availability of sophisticated bioinformatic methods for the analysis of single-cell RNA-seq data, few tools exist that allow biologists without bioinformatic expertise to directly visualize and interact with their own data and results.
Hillje, Roman +2 more
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fw262/TAR-scRNA-seq: 10X output integration
, 2021 In this update, we reworked the layout of the TAR-scRNA-seq repository so that it could contain multiple workflows- each snakemake workflow has its own sub-directory and is designed for different starting material. The first workflow was written to start
David McKellar, fw262
core +1 more source
Boosting scRNA-seq data clustering by cluster-aware feature weighting
BMC Bioinformatics, 2021 Background The rapid development of single-cell RNA sequencing (scRNA-seq) enables the exploration of cell heterogeneity, which is usually done by scRNA-seq data clustering.
Rui-Yi Li, Jihong Guan, Shuigeng Zhou
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