Stanislav Bellaousov

Molecular Biology · 2013

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stanislav Bellaousov trusts overall

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

  1. D. Mathews
  2. Katherine E Deigan
  3. Ye Ding
  4. Jessica S. Reuter
  5. Douglas H. Turner
  6. Andreas R. Gruber
  7. Charles E. Lawrence
  8. Tian W Li
  9. Kevin M. Weeks
  10. Ronny Lorenz

Who trusts Stanislav Bellaousov overall

  1. Xinshi Chen
  2. Yu Li
  3. C. Cheng

Papers from Stanislav Bellaousov's perspective

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

  1. A statistical sampling algorithm for RNA secondary structure prediction. (Nucleic Acids Research)
  2. 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)
  3. The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs
  4. RNAstructure: software for RNA secondary structure prediction and analysis (BMC Bioinformatics)
  5. Selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE): quantitative RNA structure analysis at single nucleotide resolution (Nature Protocols)
  6. The Vienna RNA Websuite (Nucleic Acids Res.)
  7. NNDB: the nearest neighbor parameter database for predicting stability of nucleic acid secondary structure (Nucleic Acids Res.)
  8. Accurate SHAPE-directed RNA structure determination (Proceedings of the National Academy of Sciences of the United States of America)
  9. RNA Pseudoknot Prediction in Energy-Based Models (J. Comput. Biol.)
  10. IPknot: fast and accurate prediction of RNA secondary structures with pseudoknots using integer programming (Bioinform.)

Their papers