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

Papers: 10.1371/journal.pone.0243241

https://doi.org/10.1371/journal.pone.0243241

CoMA – an intuitive and user-friendly pipeline for amplicon-sequencing data analysis

Cited by: 15
Author(s): Sebastian Hupfauf, Mohammad Etemadi, Marina Fernández-Delgado Juárez, María Gómez-Brandòn, Heribert Insam, Sabine Marie Podmirseg
Published: over 4 years ago

Software Mentions 13

cran: COVID19
R Interface to COVID-19 Data Hub
Papers that mentioned: 154
Very Likely Science (75)
cran: pcr
Analyzing Real-Time Quantitative PCR Data
Papers that mentioned: 16
Very Likely Science (83)
cran: PERMANOVA
Multivariate Analysis of Variance Based on Distances and Permutations
Papers that mentioned: 6,292
Very Likely Science (85)
cran: RDP
The Ramer-Douglas-Peucker Algorithm
Papers that mentioned: 1,243
Very Likely Science (85)
cran: sdm
Species Distribution Modelling
Papers that mentioned: 26
Very Likely Science (85)
cran: uclust
Clustering and Classification Inference with U-Statistics
Papers that mentioned: 454
Very Likely Science (85)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: pcr
Python 3 Cryptography Toolkit
Papers that mentioned: 16
Very Likely Science (65)
pypi: py
library with cross-python path, ini-parsing, io, code, log facilities
Papers that mentioned: 403
Very Likely Science (65)
pypi: qiime
Quantitative Insights Into Microbial Ecology
Papers that mentioned: 157
Very Likely Science (90)
pypi: screen
Screen width and so on
Papers that mentioned: 10
Very Likely Science (65)
pypi: sdm
Sparse Distributed Memory Framework
Papers that mentioned: 26
Very Likely Science (80)
pypi: x
UNKNOWN
Papers that mentioned: 53
Very Likely Science (65)