DOE CODE   /    Search Results   /    ProDeGe: A Computational Protocol for fully Automated Decontamination of Genomic Data

ProDeGe: A Computational Protocol for fully Automated Decontamination of Genomic Data

RESOURCE

Project Landing Page
https://ipo.lbl.gov/marketplace
https://doi.org/10.11578/dc.20210521.69

SAVE / SHARE



LBNL Badge

Abstract

The Single Cell Data Decontamination Pipeline is a fully-automated software tool which classifies unscreened contigs from single cell datasets through a combination of homology and feature-based methodologies using the organism's nucleotide sequences and known NCBI taxonomony. The software is freely available to download and install, and can be run on any system.
Developers:
Release Date:
2015-12-01
Project Type:
Open Source, No Publicly Available Repository
Software Type:
Scientific
Licenses:
Other (Commercial or Open-Source): https://ipo.lbl.gov/marketplace
Sponsoring Org.:
Code ID:
57180
Site Accession Number:
5346; 2015-021
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Country of Origin:
United States

RESOURCE

Project Landing Page
https://ipo.lbl.gov/marketplace
https://doi.org/10.11578/dc.20210521.69

SAVE / SHARE



LBNL Badge

Citation Formats

Andersen, Evan, Tennessen, Kristin, and Pati, Amrita. ProDeGe: A Computational Protocol for fully Automated Decontamination of Genomic Data. Computer Software. USDOE. 01 Dec. 2015. Web. doi:10.11578/dc.20210521.69.
Andersen, Evan, Tennessen, Kristin, & Pati, Amrita. (2015, December 01). ProDeGe: A Computational Protocol for fully Automated Decontamination of Genomic Data. [Computer software]. https://doi.org/10.11578/dc.20210521.69.
Andersen, Evan, Tennessen, Kristin, and Pati, Amrita. "ProDeGe: A Computational Protocol for fully Automated Decontamination of Genomic Data." Computer software. December 01, 2015. https://doi.org/10.11578/dc.20210521.69.
@misc{ doecode_57180,
title = {ProDeGe: A Computational Protocol for fully Automated Decontamination of Genomic Data},
author = {Andersen, Evan and Tennessen, Kristin and Pati, Amrita},
abstractNote = {The Single Cell Data Decontamination Pipeline is a fully-automated software tool which classifies unscreened contigs from single cell datasets through a combination of homology and feature-based methodologies using the organism's nucleotide sequences and known NCBI taxonomony. The software is freely available to download and install, and can be run on any system.},
doi = {10.11578/dc.20210521.69},
url = {https://doi.org/10.11578/dc.20210521.69},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210521.69}},
year = {2015},
month = {dec}
}