Orr Ashenberg
Molecular Biology · 2008–2021
A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 147 citations into it
- Genetics — 44 citations into it
- Epidemiology — 17 citations into it
Whom Orr Ashenberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ziheng Yang
- Simon Whelan
- David T. Jones
- L. Gong
- Jesse D. Bloom
- Nicolas Lartillot
- Nick Goldman
- William R. Taylor
- Marc A. Suchard
- Richard A. Goldstein
Who trusts Orr Ashenberg overall
Papers from Orr Ashenberg's perspective
Ordered by how strongly the researchers Orr Ashenberg trusts endorse each paper. Same corpus, a different order for every researcher.
- A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
- The rapid generation of mutation data matrices from protein sequences
- PAML 4: phylogenetic analysis by maximum likelihood. (Molecular biology and evolution)
- Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
- A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process. (Molecular biology and evolution)
- Missense meanderings in sequence space: a biophysical view of protein evolution
- Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details.
- A distinct lineage of influenza A virus from bats (Proceedings of the National Academy of Sciences of the United States of America)
- PhyloBayes MPI: phylogenetic reconstruction with infinite mixtures of profiles in a parallel environment. (Systematic Biology)
- PDBselect 1992–2009 and PDBfilter-select
Their papers
- Rewiring the specificity of two-component signal transduction systems. (2008) — 491 citations
- Mutational effects on stability are largely conserved during protein evolution (2013) — 134 citations
- A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors (2019) — 607 citations
- Decoding human fetal liver haematopoiesis (2019) — 515 citations
- COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets (2021) — 696 citations
- A single cell atlas of human and mouse white adipose tissue (2021) — 633 citations
- The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution (2020) — 482 citations
- A cellular taxonomy of the bone marrow stroma in homeostasis and leukemia (2019) — 741 citations
- A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade (2018) — 692 citations