9 Jul 2019 FASTerQ to Count Matrices for Single-Cell RNA-Seq single-cell RNA-seq starts with downloading large FASTQ files A worked example.
Quality control pipeline for RamDA-seq experiments. - rikenbit/Ramdaq A short tutorial on how to use RSEM. Contribute to bli25broad/RSEM_tutorial development by creating an account on GitHub. A list of scRNA-seq analysis tools. Contribute to mdozmorov/scRNA-seq_notes development by creating an account on GitHub. A tutorial to perform RNA-Seq data processing and analysis - UMMS-Biocore/RNASeqTutorial Bio-protocol is an online peer-reviewed protocol journal. Its mission is to make life science research more efficient and reproducible by curating and hosting high quality, free access protocols. We introduce quanTIseq, a method to quantify the fractions of ten immune cell types from bulk RNA-sequencing data. quanTIseq was extensively validated in blood and tumor samples using simulated, flow cytometry, and immunohistochemistry data…
BraCeR - reconstruction of B cell receptor sequences from single-cell RNAseq data - Teichlab/bracer Reconstruction of T cell receptor sequences from single-cell RNA-seq data. - DiklaGelbard/TCRseq Plasmodium parasite transcription shifts dramatically along asexual development, and transmission stages variably express important immune evasion genes, suggesting much interesting biology has until now been hidden by bulk analyses. Cell-cell signaling via soluble and insoluble cues is known to be crucial to the regulation of cell niches and the emergence of tissue properties (1, 2). However, signals that govern tissue homeostasis are challenging to capture in vivo… Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution. However, well-suited bioinformatics tools to analyze the data generated from…
Reconstruction of T cell receptor sequences from single-cell RNA-seq data. - DiklaGelbard/TCRseq Plasmodium parasite transcription shifts dramatically along asexual development, and transmission stages variably express important immune evasion genes, suggesting much interesting biology has until now been hidden by bulk analyses. Cell-cell signaling via soluble and insoluble cues is known to be crucial to the regulation of cell niches and the emergence of tissue properties (1, 2). However, signals that govern tissue homeostasis are challenging to capture in vivo… Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution. However, well-suited bioinformatics tools to analyze the data generated from… Single-cell libraries were prepared from freshly isolated Pbmcs by using Chromium Single Cell 3ʹ v2 Reagent Kits (26). The cells and kit reagents were mixed with gel beads containing barcoded oligonucleotides (UMIs) and oligo dTs (used for… Single-CELL rna-seq analysis software. Contribute to diazlab/scell development by creating an account on GitHub. R package for bcbio single-cell RNA-seq analysis. Contribute to hbc/bcbioSingleCell development by creating an account on GitHub.
Contribute to maqin2001/GeneQC development by creating an account on GitHub.
Single-cell RNA-sequencing and germline substitutions provide novel insights into how testis is a hotspot for evolutionary innovation of genes, expression, and mutation at the single-cell level. A typical Fastq file can be processed by Kallisto-splice in 1-30 minutes on a desktop or laptop computer with at least 8GB of RAM (16GB recommended). Quality control pipeline for RamDA-seq experiments. - rikenbit/Ramdaq A short tutorial on how to use RSEM. Contribute to bli25broad/RSEM_tutorial development by creating an account on GitHub. A list of scRNA-seq analysis tools. Contribute to mdozmorov/scRNA-seq_notes development by creating an account on GitHub. A tutorial to perform RNA-Seq data processing and analysis - UMMS-Biocore/RNASeqTutorial
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