Rasmus Agren
Molecular Biology · 2012–2018
A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 78 citations into it
- Biomedical Engineering — 12 citations into it
- Computational Biology & Bioinformatics — 5 citations into it
Whom Rasmus Agren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard O. Palsson
- Scott A. Becker
- Kiran Raosaheb Patil
- Ines Thiele
- Adam M. Feist
- Minoru Kanehisa
- Robert C. Edgar
- Jens Nielsen
- Tomer Shlomi
- Ryota Suzuki
Who trusts Rasmus Agren overall
Papers from Rasmus Agren's perspective
Ordered by how strongly the researchers Rasmus Agren trusts endorse each paper. Same corpus, a different order for every researcher.
- KEGG: Kyoto Encyclopedia of Genes and Genomes (Nucleic Acids Res.)
- Basic local alignment search tool.
- Genome-scale microbial in silico models: the constraints-based approach. (Trends in Biotechnology)
- KEGG for linking genomes to life and the environment (Nucleic Acids Res.)
- Cytoscape: a software environment for integrated models of biomolecular interaction networks.
- HMDB: the Human Metabolome Database (Nucleic Acids Res.)
- The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli (Nature Biotechnology)
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
- A gene atlas of the mouse and human protein-encoding transcriptomes. (Proceedings of the National Academy of Sciences of the United States of America)
- An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
Their papers
- A community-driven global reconstruction of human metabolism (2013) — 1,073 citations
- The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum (2013) — 391 citations
- Reconstruction of Genome-Scale Active Metabolic Networks for 69 Human Cell Types and 16 Cancer Types Using INIT (2012) — 450 citations
- Bioconda: sustainable and comprehensive software distribution for the life sciences (2018) — 1,435 citations
- RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor (2018) — 331 citations