Author

Christopher M. Sales

Drexel UniversityORCID 0000-0002-1781-8752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Ecology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:database / resource· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Saeed Keshani LangroodiiD· 2 shared Ben StenuitiD· 1 shared GAIL L. ROSENiD· 1 shared Gail Rosen· 1 shared Jacob R. PriceiD· 1 shared Joseph B. Hughes· 1 shared Lisa Alvarez-Cohen· 1 shared Stephen Woloszynek· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Saeed Keshani LangroodiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 10, 2021

CuBi-MeAn Customized Pipeline for Metagenomic Data Analysis

Saeed Keshani Langroodi, Christopher M. Sales

This study introduces CuBi-MeAn, a customizable pipeline for metagenomic data analysis, demonstrating its effectiveness across different environmental datasets.

DOI 10.1101/2021.09.10.458355

metagenomicsstatistical model

GenomicsbioRxivPreprintDec 12, 2020

Uncovering the Structure and Function of Microbial Communities Formed During Periodic Tilling of TNT and DNT Co-Contaminated Soils

Saeed Keshani Langroodi, Yemin Lan, Ben Stenuit…·Christopher M. Sales

The paper investigates how tilling affects microbial communities in TNT and DNT contaminated soils and identifies potential degradation pathways for these contaminants.

2 citations

metagenomicsstatistical model

EcologybioRxivPreprintApr 5, 2018

theseus - An R package for the analysis and visualization of microbial community data

Jacob R. Price, Stephen Woloszynek, Gail Rosen, Christopher M. Sales

theseus provides R functions for analyzing and visualizing microbial community data to aid microbiologists and molecular biologists.

DOI 10.1101/295675

metagenomicsbenchmark study