bioRxivBioinformaticsPreprint
Treasure: A Sensitive Pipeline for Species-Level and Functional Microbiome Profiling
Daniel de Souza AvelariD, Eliel Barbosa TeixeiraiD, Samir Mansour Moraes CassebiD, Fabiano Cordeiro MoreiraiD, Paulo Pimentel de AssumpçãoiD
Abstract
Next Generation Sequencing (NGS) methods, such as 16S rRNA amplicon sequencing and Whole Genome Sequencing (WGS), enable taxonomic analyses but have limitations. This project proposes the development of a computational tool capable of performing functional analysis of the most abundant microorganisms within a microbiome based on taxonomic analysis. The proposed method integrates the tools Kraken, Gffread, and Salmon. Compared to Samsa 2, a commonly used pipeline for RNA-Seq Total samples, the new approach demonstrated superior performance across all evaluated scenarios (p < 0.01). The tool aims to functionally characterize the microbiome of regions affected by Gastric Cancer (GC) and adjacent areas, assess associations between survival, expression/abundance, and identify potential microbial biomarkers for GC.
- assay: metagenomics
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: deconvolution
- research focus: variant calling
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- 16S rRNA sequence captures microbial functional potential
Jia Liu, M. Clara De Paolis Kaluza, Yana Bromberg·bioRxiv·Apr 20, 2026
- StrainPro: a highly accurate Metagenomic strain-level profiling tool
Hsin-Nan Lin, Yaw-Ling Lin, Wen−Lian Hsu·bioRxiv·Oct 17, 2019
- MetaFunc: Taxonomic and Functional Analyses of High Throughput Sequencing for Microbiomes
Arielle Kae Sulit, Tyler Kolisnik, … Sebastian Schmeier·Gut MicrobiomePeer-reviewed·Jan 1, 2023
- Metagenomic profiling pipelines improve taxonomic classification for 16S amplicon sequencing data
Tyler Faits, Aubrey R. Odom-Mabey, … William Evan Johnson·bioRxiv·Jul 27, 2022
- CAIM: Coverage-based Analysis for Identification of Microbiome
Daniel A. Acheampong, Piroon Jenjaroenpun, … Intawat Nookaew·Briefings in BioinformaticsPeer-reviewed·Jul 25, 2024
- JAMS - A framework for the taxonomic and functional exploration of microbiological genomic data
John A. McCulloch, Jonathan H. Badger, … Giorgio Trinchieri·bioRxiv·Mar 3, 2023