Mona Singh
Molecular Biology · with Capra · 2005–2013
A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 120 citations into it; #2,559 of 17,773 by trust here, #5,914 by citations
- Genetics — 15 citations into it
- Materials Chemistry — 15 citations into it
- Plant Science — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Computational Biology & Bioinformatics — 10 citations into it
- Spectroscopy — 8 citations into it
Whom Mona Singh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Henikoff
- Jorja G. Henikoff
- Golan Yona
- Itay Mayrose
- Meng He
- Christopher Sander
- Reinhard Schneider
- Ben Langmead
- Fabio Vandin
- Helen M. Berman
Who trusts Mona Singh overall
- Jianyi Yang
- Ambrish Roy
- A. Kumagai
- Olivier Rivoire
- Yang Zhang
- Edison Ong
- Daniel Melamed
- John A. Capra
- Yoshinori Fukasawa
- W. G. Dunphy
Papers from Mona Singh's perspective
Ordered by how strongly the researchers Mona Singh trusts endorse each paper. Same corpus, a different order for every researcher.
- Amino acid substitution matrices from protein blocks.
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- Cytoscape: a software environment for integrated models of biomolecular interaction networks.
- Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
- A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
- Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
- Protein complexes and functional modules in molecular networks (Proceedings of the National Academy of Sciences of the United States of America)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- Position-based sequence weights.
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
Their papers
- Predicting functionally important residues from sequence conservation (2007) — 698 citations
- Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure (2009) — 411 citations
- Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps (2005) — 500 citations
- Computational solutions for omics data (2013) — 328 citations