Novaseq 6000 s2
The NovaSeq 6000 S2 is a high-throughput sequencing system designed for large-scale genomic studies. It utilizes Illumina's proprietary sequencing-by-synthesis technology to generate high-quality sequencing data. The system is capable of processing multiple samples simultaneously, making it suitable for various genomic applications that require large-scale data generation.
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25 protocols using novaseq 6000 s2
Single-Cell Multi-Omic Profiling of BM Cells
Retinal Organoid Single-Cell RNA-seq
Automated single-cell capture, barcoding, and cDNA library preparation were carried out using 10X Genomics Chromium Controller with Chromium Single Cell 3’ Library & Gel Bead Kit v2 reagents, with 12 cycles of cDNA amplification and 12 cycles of library amplification, following the manufacturer’s instructions. Qubit dsDNA Assay kit (Life Technologies) and TapeStation 4200 (Agilent) were used to assess the quality and concentration of the libraries. Illumina NovaSeq6000 S2 paired-end 2 × 50 bp mode was used to sequence the libraries.
Genome-Wide DNA Methylation Profiling of Koala Tissues
Single-Nucleus Transcriptome Analysis
Single-Cell RNA-seq Library Preparation
Conditional Runx2 Deletion in Molars
Gli1‐CreERT2;Runx2fl/fl and Runx2fl/fl littermate control mice received injection of tamoxifen at PN3.5 and were euthanized 4 days later. The apical halves of the mandibular first molars were dissected for RNA extraction. Each sample contained tissues from four mice. cDNA library preparation and sequencing were carried out by the Technology Center for Genomics & Bioinformatics at the University of California, Los Angeles (UCLA). A total of 200 million pair‐end reads were obtained on NovaSeq 6000 S2 (Illumina, San Diego, CA, USA) for four pairs of samples. The raw data was analyzed using Partek® Flow® software (Partek Incorporated, St. Louis, MO, USA). Briefly, raw reads were trimmed, aligned by STAR (2.6.1d;
Single-cell RNA-seq Library Preparation
Single Nucleus ATAC-Seq of Ocular Tissues
Single-cell RNA-seq Using 10X Chromium
Single-cell analysis of wound healing in old mice
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