Michael Remmert

Molecular Biology · 2006–2011

A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 74 citations into it; #269 of 17,773 by trust here, #1,188 by citations
• Computational Biology & Bioinformatics — 38 citations into it; #58 of 660 by trust here, #102 by citations
• Spectroscopy — 13 citations into it; #39 of 1,674 by trust here, #107 by citations
• Materials Chemistry — 12 citations into it
• Genetics — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Michael Remmert trusts overall

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

1. Johannes Söding
2. Sean R. Eddy
3. Andreas Biegert
4. Michael Farrar
5. Stephen F. Altschul
6. Alexey G. Murzin
7. Yang Zhang
8. Kevin J. Karplus
9. Roland L. Dunbrack
10. Anders Krogh

Who trusts Michael Remmert overall

1. Sheng Wang
2. Jinbo Xu
3. Sergey Ovchinnikov
4. David T. Jones
5. Johannes Söding
6. Daniel W. A. Buchan
7. Yumeng Yan
8. Torsten Schwede
9. Joe G. Greener
10. Claudio Mirabello

Papers from Michael Remmert's perspective

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

1. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
2. Basic local alignment search tool.
3. The Pfam protein families database
4. Hidden Markov models for detecting remote protein homologies
5. SCOP: a structural classification of proteins database for the investigation of sequences and structures.
6. Hidden Markov models in computational biology. Applications to protein modeling.
7. The Protein Data Bank.
8. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
9. Hidden Markov model speed heuristic and iterative HMM search procedure
10. Protein homology detection by HMM?CHMM comparison

Their papers

• HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment (2011) — 2,261 citations
• Fast and accurate automatic structure prediction with HHpred (2009) — 453 citations
• Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega (2011) — 15,106 citations
• Protein sequence comparison and fold recognition: progress and good-practice benchmarking. (2011) — 81 citations
• The MPI Bioinformatics Toolkit for protein sequence analysis (2006) — 291 citations
• HHsenser: exhaustive transitive profile search using HMM–HMM comparison (2006) — 85 citations