Demo Data from VLDB 2026 / reviewers in the wild / expert
Shyamal Somaroo
dblp:19/5161
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › multiple sequence alignment
multiple sequence alignment visualization |
0.0 | 1 | 2003 | Protein family annotation in a multiple alignment viewer · Bioinform. 2003 |
Bioinformatics and computational biology › protein sequence analysis
protein family analysis |
0.0 | 1 | 2003 | Protein family annotation in a multiple alignment viewer · Bioinform. 2003 |
Bioinformatics and computational biology › protein structure analysis
protein structure annotation |
0.0 | 1 | 2003 | Protein family annotation in a multiple alignment viewer · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
sequence alignment editing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | PFAAT version 2.0: A tool for editing, annotating, and analyzing multiple sequence alignmentsabstractBACKGROUND: By virtue of their shared ancestry, homologous sequences are similar in their structure and function. Consequently, multiple sequence alignments are routinely used to identify trends that relate to function. This type of analysis is particularly productive when it is combined with structural and phylogenetic analysis. RESULTS: Here we describe the release of PFAAT version 2.0, a tool for editing, analyzing, and annotating multiple sequence alignments. Support for multiple annotations is a key component of this release as it provides a framework for most of the new functionalities. The sequence annotations are accessible from the alignment and tree, where they are typically used to label sequences or hyperlink them to related databases. Sequence annotations can be created manually or extracted automatically from UniProt entries. Once a multiple sequence alignment is populated with sequence annotations, sequences can be easily selected and sorted through a sophisticated search dialog. The selected sequences can be further analyzed using statistical methods that explicitly model relationships between the sequence annotations and residue properties. Residue annotations are accessible from the alignment viewer and are typically used to designate binding sites or properties for a particular residue. Residue annotations are also searchable, and allow one to quickly select alignment columns for further sequence analysis, e.g. computing percent identities. Other features include: novel algorithms to compute sequence conservation, mapping conservation scores to a 3D structure in Jmol, displaying secondary structure elements, and sorting sequences by residue composition. CONCLUSION: PFAAT provides a framework whereby end-users can specify knowledge for a protein family in the form of annotation. The annotations can be combined with sophisticated analysis to test hypothesis that relate to sequence, structure and function. Daniel R. Caffrey, Paul H. Dana, Vidhya Mathur, Marco Ocano, Eun-Jong Hong, Yaoyu E. Wang, Shyamal Somaroo, Brian E. Caffrey, Shobha Potluri, Enoch S. Huang |
BMC Bioinform. | 7 |
| 2003 | Protein family annotation in a multiple alignment viewerabstractAbstract Summary: The Pfaat protein family alignment annotation tool is a Java-based multiple sequence alignment editor and viewer designed for protein family analysis. The application merges display features such as dendrograms, secondary and tertiary protein structure with SRS retrieval, subgroup comparison, and extensive user-annotation capabilities. Availability: The program and source code are freely available from the authors under the GNU General Public License at http://www.pfizerdtc.com Contact: [email protected][email protected] * To whom correspondence should be addressed. † Present address: Rosetta Inpharmatics, 12040 115th Avenue NE, Kirkland, WA 98034, USA. Jason M. Johnson, Keith Mason, Ciamac C. Moallemi, Hualin Xi, Shyamal Somaroo, Enoch S. Huang |
Bioinform. | 5 |