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Canada-861102-Associations कंपनी निर्देशिकाएँ
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कंपनी समाचार :
- Single-cell RNA-Sequencing in Neuroscience - De Gruyter
Technical innovations in the last decade have allowed to sequence transcriptomes of single cells Single-cell RNA-sequencing (scRNA-seq) has since then opened the window to a deeper understanding of cellular identity and is becoming a widely used method in molecular biology
- Single-cell sequencing to multi-omics: technologies and applications
Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity Undoubtedly, single-cell transcriptomics has emerged as one of the most vibrant research fields today
- Single-cell transcriptomics: background, technologies, applications . . .
We have discussed the applications, opportunities, challenges, and prospects of sc-transcriptomics for understanding gene regulation in the onset and development of disease In addition, some advanced aspects, such as spatial transcriptomics and multi-omics approaches, were also briefly discussed
- Single-Cell Transcriptomics: Current Methods and Challenges . . . - Frontiers
Single-cell transcriptomics [single-cell RNA sequencing (SC-RNA-seq)] has an immense potential of uncovering the novel basis of human life The well-known heterogeneity of cells at the individual level can be better studied by single-cell transcriptomics
- Profiling cell identity and tissue architecture with single-cell and . . .
In this Review, we discuss the latest advances and challenges in single-cell transcriptomics as they pertain to sample preparation, data integration and correction, the curation of large
- An introduction to spatial transcriptomics for biomedical research
Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over the past decade, particularly in developmental biology, cancer, immunology, and neuroscience Most commercially available scRNA-seq protocols require cells to be recovered intact and viable from tissue
- Single-Cell Transcriptomics in Spinal Cord Studies: Progress and . . . - MDPI
Single-cell RNA sequencing (scRNA-seq) has revolutionized neuroscience by enabling the analysis of cellular heterogeneity and dynamic molecular processes at the single-cell resolution In spinal cord research, scRNA-seq provides critical insights into cell type diversity, developmental trajectories, and pathological mechanisms This review summarizes recent progress in the application of scRNA
- A comparison of automatic cell identification methods for single-cell . . .
Here, we benchmarked 22 classification methods to automatically assign cell identities including single-cell-specific and general-purpose classifiers The methods were evaluated using 27 publicly available single-cell RNA sequencing datasets of different sizes, technologies, species, and complexity
- Bioinformatics perspectives on transcriptomics: A comprehensive review . . .
Bulk RNA‐seq provides a gene expression profile within a tissue sample Conversely, single‐cell RNA sequencing (scRNA‐seq) offers resolution at the cellular level, allowing the uncovering of cellular heterogeneity, identification of rare cell types, and distinction between distinct cell populations
- Decoding brain memory formation by single-cell RNA sequencing
In this review, we summarize the basics of single-cell and single-nuclei RNA sequencing (sc snRNA-seq), and describe experimental and computational workflows We especially emphasize the novel discoveries of brain long-term memory formation facilitated by sc snRNA-seq
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