Katherine E Deigan

Molecular Biology · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Katherine E Deigan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Chuong B. Do
  2. D. Mathews
  3. Kevin M. Weeks
  4. M. Kozak
  5. Daniel A. Woods

Who trusts Katherine E Deigan overall

  1. Jessica S. Reuter
  2. Stanislav Bellaousov
  3. A. Bugaut
  4. Greggory M. Rice
  5. D. Mathews
  6. Christine E. Hajdin
  7. Christopher W. Leonard
  8. Shankar Balasubramanian
  9. Kevin M. Weeks

Papers from Katherine E Deigan's perspective

Ordered by how strongly the researchers Katherine E Deigan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure. (Proceedings of the National Academy of Sciences of the United States of America)
  2. CONTRAfold: RNA secondary structure prediction without physics-based models (Intelligent Systems in Molecular Biology)
  3. The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs
  4. Structure of the 30S ribosomal subunit (Nature)
  5. Selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE): quantitative RNA structure analysis at single nucleotide resolution (Nature Protocols)
  6. RNA structure analysis at single nucleotide resolution by selective 2'-hydroxyl acylation and primer extension (SHAPE). (Journal of the American Chemical Society)
  7. Regulation of translation via mRNA structure in prokaryotes and eukaryotes. (Gene)
  8. Mfold web server for nucleic acid folding and hybridization prediction (Nucleic Acids Res.)
  9. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
  10. Pfold: RNA secondary structure prediction using stochastic context-free grammars (Nucleic Acids Res.)

Their papers