Nextera indexing kit
The Nextera indexing kit is a laboratory product designed for sample preparation in next-generation sequencing workflows. It provides a standardized approach to incorporate unique index sequences into DNA samples, enabling multiplexed sequencing and identification of individual samples within a sequencing run.
Lab products found in correlation
10 protocols using nextera indexing kit
Targeted Sequencing of PHP1b Regions
16S rRNA Amplicon Sequencing Protocol
Genomic Sequencing of PHP1b Samples
Shotgun Metagenomics of Fecal Microbiome
Raw sequences were sorted using assigned barcodes and cleaned up before analysis (barcodes removed and sequences above a quality score, Q ≥ 30 taken forward for analyses). For assembly and annotation of sequences, MetAMOS47 (link) pipeline or Partek Flow software (Partek® Flow®, Partek Inc., St. Louis, MO) were used. These softwares provide powerful tools to filter unique hits between human and mouse-specific genes versus microbial signatures. Alpha and Beta diversity calculations were done using embedded programs within the metagenomic pipeline, or using Stata15 (StataCorp LLC, College Station, TX) or EXPLICET software.48 (link) Functional profiling was performed using HUMAnN2-0.11.149 (link) with Uniref50 database to implement KEGG orthologies.
Sorting Antigen-Specific B Cells
Comprehensive Microbiome Analysis Pipeline
Exon Amplification and Sequencing
ATAC-Seq Library Preparation Protocol
ATAC-Seq Library Preparation Protocol
Shotgun Metagenomic Library Preparation and Sequencing
Raw sequences were sorted using assigned barcodes and cleaned up before analysis (barcodes removed and sequences above a quality score, Q ≥ 30 taken forward for analyses). For assembly and annotation of sequences, MetAMOS [28 (link)] pipeline or Partek Flow software (Partek® Flow®, Partek Inc., St. Louis, MO) were used. These softwares provide powerful tools to filter unique hits between human and mouse-specific genes versus microbial signatures. Alpha and Beta diversity calculations were done using embedded programs within the metagenomic pipeline, or using Stata15 (StataCorp LLC, College Station, TX) or EXPLICET software [29 (link)].
Functional profiling was performed using HUMAnN2-0.11.1 [30 (link)] with Uniref50 database to implement KEGG orthologies.
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