Javascript must be enabled to continue!
Dix-seq: An integrated pipeline for fast amplicon data analysis
View through CrossRef
Abstract
The amplicon derived from 16S rRNA genes, 18S rRNA genes, internal transcribed spacer sequences or other functional genes can be used to infer and evaluate microbial diversity or functional gene diversity. With the development of sequencing technologies, large amounts of amplicon data were generated. Several different software or pipelines had been developed for amplicon data analyses. However, most current software/pipelines require multistep and advanced programming skills. Moreover, they are often complex and time-consuming. Here, we introduced an integrated pipeline named Dix-seq for high-throughput amplicon sequence data processing (
https://github.com/jameslz/dix-seq
). Dix-seq integrates several different amplicon analysis algorithms and software for diversity analyses of multiple samples. Dix-seq analyzes amplicon sequences efficiently, and exports abundant visual results automatically with only one command in Linux environment. In summary, Dix-seq enables the common/advanced users to generate amplicon analysis results easily and offers a versatile and convenient tool for researchers.
Title: Dix-seq: An integrated pipeline for fast amplicon data analysis
Description:
Abstract
The amplicon derived from 16S rRNA genes, 18S rRNA genes, internal transcribed spacer sequences or other functional genes can be used to infer and evaluate microbial diversity or functional gene diversity.
With the development of sequencing technologies, large amounts of amplicon data were generated.
Several different software or pipelines had been developed for amplicon data analyses.
However, most current software/pipelines require multistep and advanced programming skills.
Moreover, they are often complex and time-consuming.
Here, we introduced an integrated pipeline named Dix-seq for high-throughput amplicon sequence data processing (
https://github.
com/jameslz/dix-seq
).
Dix-seq integrates several different amplicon analysis algorithms and software for diversity analyses of multiple samples.
Dix-seq analyzes amplicon sequences efficiently, and exports abundant visual results automatically with only one command in Linux environment.
In summary, Dix-seq enables the common/advanced users to generate amplicon analysis results easily and offers a versatile and convenient tool for researchers.
Related Results
Installation Analysis of Matterhorn Pipeline Replacement
Installation Analysis of Matterhorn Pipeline Replacement
Abstract
The paper describes the installation analysis for the Matterhorn field pipeline replacement, located in water depths between 800-ft to 1200-ft in the Gul...
Pipeline for species-resolved full-length16S rRNA amplicon nanopore sequencing analysis of low-complexity bacterial microbiota
Pipeline for species-resolved full-length16S rRNA amplicon nanopore sequencing analysis of low-complexity bacterial microbiota
Abstract
16S rRNA amplicon sequencing is a fundamental tool for characterizing prokaryotic microbial communities. While short-read 16S rRNA sequencing is a proven s...
Benchmarking Algorithms for Gene Set Scoring of Single-cell ATAC-seq Data
Benchmarking Algorithms for Gene Set Scoring of Single-cell ATAC-seq Data
AbstractGene set scoring (GSS) has been routinely conducted for gene expression analysis of bulk or single-cell RNA-seq data, which helps to decipher single-cell heterogeneity and ...
A Fluid-pipe-soil Approach to Stability Design of Submarine Pipelines
A Fluid-pipe-soil Approach to Stability Design of Submarine Pipelines
Abstract
The conventional approach to submarine pipeline stability design considers interactions between water and pipeline (fluid-pipe) and pipeline and seabed (...
Pipeline Resistance
Pipeline Resistance
Pipeline resistance is where an often abstract and wonky climate movement meets the bravery and boldness of Indigenous and other frontline defenders of land and water who inspire d...
Abstract P1-05-23: Utilities and challenges of RNA-Seq based expression and variant calling in a clinical setting
Abstract P1-05-23: Utilities and challenges of RNA-Seq based expression and variant calling in a clinical setting
Abstract
Introduction
Variant calling based on DNA samples has been the gold standard of clinical testing since the advent of Sanger sequencing. The u...
Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational Autoencoder
Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational Autoencoder
AbstractSingle cell RNA sequencing (scRNA-seq) is a powerful approach which generates genome-wide gene expression profiles at single cell resolution. Among its many applications, i...
Abstract 4875: HIVE Proteomics: Integrated, cloud-based RNA-Seq and proteomics analysis of prostate adenocarcinoma samples
Abstract 4875: HIVE Proteomics: Integrated, cloud-based RNA-Seq and proteomics analysis of prostate adenocarcinoma samples
Abstract
Automated bottom-up proteomics workflows implemented with modern mass-spectrometry instrumentation can readily generate millions of peptide fragmentation sp...

