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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.0239966

https://doi.org/10.1371/journal.pone.0239966

Analysis of mutational and proteomic heterogeneity of gastric cancer suggests an effective pipeline to monitor post-treatment tumor burden using circulating tumor DNA

Cited by: 2
Author(s): Noriyuki Sasaki, Takeshi Iwaya, Tadatoshi Chiba, Masashi Fujita, Ju Zhang, Fumitaka Endo, Mizunori Yaegashi, Tsuyoshi Hachiya, Ryo Sugimoto, Tamotsu Sugai, Doris R. Siwak, Lance A. Liotta, Yiling Lu, Gordon B. Mills, Hidewaki Nakagawa, Satoshi Nishizuka
Published: almost 5 years ago

Software Mentions 4

bioconductor: DNAcopy
DNA Copy Number Data Analysis
Papers that mentioned: 154
Very Likely Science (100)
cran: Canopy
Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation Sequencing
Papers that mentioned: 41
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: QuantStudio
Quant Studio
Papers that mentioned: 1,164
Very Likely Science (65)