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scRNA-seq analysis of neuroblastoma

To characterize NB tumors, we performed scRNA-seq analysis using NB primary tumor samples, and circulating T cells sorted from peripheral blood of healthy controls and NB patients.
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Mathematical Methods for scRNA-seq Data Analysis

2022
Single-cell sequencing technologies have revolutionized our understanding of cell diversity and development. Since single-cell data contain information of up to thousands of genes and cells, new mathematical and computational methods to analyze it are in high demand.
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HPAH mice's lung scRNA-seq

The single-cell RNA sequencing data of lung tissues of male C57BL/6J mice raised in normoxic condition or in hypoxic condition for 3, 7, 14, 21 or 28 days.
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Brain metastases scRNA-seq data

These folders contain input data for the analysis in this GitHub repo. Figures that can be reproduced by the analysis can be also found in respective folders. Raw data from SRA database were aligned to a human or mouse genome, respectively, using STARsolo. Genes were annotated by ensdb 102, mm10 and ensdb 110, hg38.
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Identifying Damage-Related Features in scRNA-seq Data

Quality control (QC) is fundamental in single-cell RNA sequencing (scRNA-seq) data analysis pipelines to ensure data reliability. A critical QC step involves identifying damaged cells using quality metrics like the percentage of mitochondrial genes or the total number of reads.
Giovanni Marteletto   +2 more
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5' scRNA-seq, TCR, BCR project

Single-cell transcriptome sequencing and TCR and BCR immune repertoire construction were performed on PBMC samples of 3 people with high and low levels of neutralizing antibodies after novel coronavirus Omicron breakthrough infection.
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