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

Papers: 10.1126/scitranslmed.abe9599

https://doi.org/10.1126/scitranslmed.abe9599

Plasma from patients with bacterial sepsis or severe COVID-19 induces suppressive myeloid cell production from hematopoietic progenitors in vitro

Cited by: 57
Author(s): Miguel Reyes, Michael R. Filbin, Roby P. Bhattacharyya, Abraham Sonny, Arnav Mehta, Kianna Billman, Kyle R. Kays, Mayra Pinilla-Vera, Maura Benson, Lisa A. Cosimi, Deborah T. Hung, Bruce D. Levy, Alexandra Chloé Villani, Moshe Sade-Feldman, Rebecca M. Baron, Marcia B. Goldberg, Paul C. Blainey, Nir Hacohen
Published: about 4 years ago

Software Mentions 7

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
cran: cellranger
Translate Spreadsheet Cell Ranges to Rows and Columns
Papers that mentioned: 79
Very Likely Science (95)
cran: MetaIntegrator
Meta-Analysis of Gene Expression Data
Papers that mentioned: 7
Very Likely Science (93)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: custom
Custom self carry
Papers that mentioned: 1,363
Very Likely Science (65)
pypi: scanpy
Single-Cell Analysis in Python.
Papers that mentioned: 68
Very Likely Science (100)
pypi: scripts
Various shell scripts
Papers that mentioned: 315
Very Likely Science (65)