An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0125549

https://doi.org/10.1371/journal.pone.0125549

Bacterial Pathogens and Community Composition in Advanced Sewage Treatment Systems Revealed by Metagenomics Analysis Based on High-Throughput Sequencing

Cited by: 63
Author(s): Xin Lu, Xuxiang Zhang, Wancheng Zhu, Kailong Huang, Yuan Wang, Liang Wan, Yunfei Tan, Bo Liu, Junying Tang
Published: about 10 years ago

Software Mentions 3

cran: LCA
Localised Co-Dependency Analysis
Papers that mentioned: 129
Very Likely Science (93)
pypi: MetaPhlAn
MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With the newly added StrainPhlAn module, it is now possible to perform accurate strain-level microbial profiling.
Papers that mentioned: 306
Very Likely Science (100)
pypi: Silva
Silva Content Management System
Papers that mentioned: 445
Likely Science (40)