Mahathi S. Mahabhashyam
Computational Biology & Bioinformatics · 2005
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computational Biology & Bioinformatics — 9 citations into it
- Molecular Biology — 6 citations into it; #2,166 of 17,773 by trust here, #7,496 by citations
Whom Mahathi S. Mahabhashyam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anders Krogh
- Robert C. Edgar
- David C. Jones
- Burkhard Rost
- Christopher Sander
- Liisa Holm
- Steven Henikoff
- Mark Borodovsky
- Julie Dawn Thompson
- Alexey G. Murzin
Who trusts Mahathi S. Mahabhashyam overall
- Kazutaka Katoh
- Andreas Biegert
- Byung-Jun Yoon
- R. Pressat
- Jimin Pei
- Benjamin P. Blackburne
- Hiroyuki Toh
- Gerard Talavera
- Christophe Dessimoz
- Jason S. Papadopoulos
Papers from Mahathi S. Mahabhashyam's perspective
Ordered by how strongly the researchers Mahathi S. Mahabhashyam trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
- The Pfam protein families database
- Amino acid substitution matrices from protein blocks.
- Identification of common molecular subsequences.
- Hidden Markov models in computational biology. Applications to protein modeling.
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
- MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.
- MUSCLE: multiple sequence alignment with high accuracy and high throughput.
- Progressive sequence alignment as a prerequisitetto correct phylogenetic trees
Their papers
- ProbCons: Probabilistic consistency-based multiple sequence alignment. (2005) — 1,197 citations