Jaap Heringa

Molecular Biology · 1995–2020

A researcher in the Science corpus: 7 papers; trusts 30 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 38 citations into it; #777 of 17,773 by trust here, #2,516 by citations
• Computational Biology & Bioinformatics — 35 citations into it; #597 of 660 by trust here, #617 by citations
• Materials Chemistry — 16 citations into it; #4,278 of 11,513 by trust here, #8,250 by citations

Whom Jaap Heringa trusts overall

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

1. Stephen F. Altschul
2. Christopher Sander
3. David C. Jones
4. Burkhard Rost
5. W. Kabsch
6. Robert C. Edgar
7. William R. Taylor
8. Cédric Notredame
9. Kazutaka Katoh
10. James A. Cuff

Who trusts Jaap Heringa overall

1. Kazutaka Katoh
2. Robert C. Edgar
3. Victor A. Simossis
4. R. Pressat
5. Hiroyuki Toh
6. Ben M. Webb
7. Benjamin P. Blackburne
8. Hua Zhang
9. Jason S. Papadopoulos
10. Jimin Pei

Papers from Jaap Heringa's perspective

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

1. Identification of common molecular subsequences.
2. Prediction of protein secondary structure at better than 70% accuracy.
3. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
4. Amino acid substitution matrices from protein blocks.
5. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
6. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.
7. MUSCLE: multiple sequence alignment with high accuracy and high throughput.
8. T-Coffee: A novel method for fast and accurate multiple sequence alignment.
9. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
10. Review: protein secondary structure prediction continues to rise. (Journal of Structural Biology)

Their papers

• T-Coffee: A novel method for fast and accurate multiple sequence alignment. (2000) — 7,235 citations
• A simple and fast secondary structure prediction method using hidden neural networks (2005) — 305 citations
• PRALINE: a multiple sequence alignment toolbox that integrates homology-extended and secondary structure information (2005) — 523 citations
• Protein secondary structure prediction. (2010) — 152 citations
• The FAIR Guiding Principles for scientific data management and stewardship (2016) — 15,766 citations
• FAIR Principles: Interpretations and Implementation Considerations (2020) — 403 citations
• A simple and fast approach to prediction of protein secondary structure from multiply aligned sequences with accuracy above 70% (1995)