Demo Data from EDBT 2026 / reviewers in the wild / expert
Kenneth K. Kidd
dblp:16/5939
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3
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
2 papers |
Bioinformatics and computational biology · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
haplotype analysis |
0.1 | 1 | 2005 | HAPLOT: a graphical comparison of haplotype blocks, tagSNP sets and SNP variation for multiple populations · Bioinform. 2005 |
Bioinformatics and computational biology
population genetics |
0.1 | 1 | 2005 | HAPLOT: a graphical comparison of haplotype blocks, tagSNP sets and SNP variation for multiple populations · Bioinform. 2005 |
Bioinformatics and computational biology › population genetics
linkage disequilibrium |
0.0 | 1 | 2005 | HAPLOT: a graphical comparison of haplotype blocks, tagSNP sets and SNP variation for multiple populations · Bioinform. 2005 |
Bioinformatics and computational biology › sequence analysis › DNA sequence analysis
restriction mapping |
0.0 | 1 | 1994 | Computer-assisted restriction mapping: an integrated approach to handling experimental uncertainty · Comput. Appl. Biosci. 1994 |
Bioinformatics and computational biology › sequence analysis › sequence annotation
restriction site mapping |
0.0 | 1 | 1994 | Computer-assisted restriction mapping: an integrated approach to handling experimental uncertainty · Comput. Appl. Biosci. 1994 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 1994 | Computer-assisted restriction mapping: an integrated approach to handling experimental uncertainty · Comput. Appl. Biosci. 1994 |
User interface design and tools
interactive visualization |
0.0 | 1 | 1994 | Computer-assisted restriction mapping: an integrated approach to handling experimental uncertainty · Comput. Appl. Biosci. 1994 |
Methods — techniques the papers use, named apart from their topics
graphical visualization · 0.1graphical interaction · 0.0constraint-based reasoning · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | HAPLOT: a graphical comparison of haplotype blocks, tagSNP sets and SNP variation for multiple populationsabstractUNLABELLED: Understanding of human variation relevant to association studies can benefit from population comparison, especially comparing populations in the same geographical region. Variations in linkage disequilibrium patterns, in tagSNP sets, and in SNP heterozygosities among populations can be used to infer the evolutionary pattern. We present here a win32 system based Perl/Tk application for visual comparisons of these variations in different populations. AVAILABILITY: The application package is available at http://info.med.yale.edu/genetics/kkidd/programs.html CONTACT: [email protected]. Sheng Gu, Andrew J. Pakstis, Kenneth K. Kidd |
Bioinform. | 3 |
| 1995 | Application of Technology: Internet-based Support for Bioscience Research: A Collaborative Genome center for Human Chromosome 12abstractThis paper describes an approach that provides Internet-based support for a genome center to map human chromosome 12, as a collaboration between laboratories at the Albert Einstein College of Medicine in Bronx, New York, and the Yale University School of Medicine in New Haven, Connecticut. Informatics is well established as an important enabling technology within the genome mapping community. The goal of this paper is to use the chromosome 12 project as a case study to introduce a medical informatics audience to certain issues involved in genome informatics and in the Internet-based support of collaborative bioscience research. Central to the approach described is a shared database (DB/12) with Macintosh clients in the participating laboratories running the 4th Dimension database program as a user-friendly front end, and a Sun SPARCstation-2 server running Sybase. The central component of the database stores information about yeast artificial chromosomes (YACs), each containing a segment of human DNA from chromosome 12 to which genome markers have been mapped, such that an overlapping set of YACs (called a "contig") can be identified, along with an ordering of the markers. The approach also includes 1) a map assembly tool developed to help biologists interpret their data, proposing a ranked set of candidate maps, 2) the integration of DB/12 with external databases and tools, and 3) the dissemination of the results. This paper discusses several of the lessons learned that apply to many other areas of bioscience, and the potential role for the field of medical informatics in helping to provide such support. Perry L. Miller, Prakash M. Nadkarni, Kenneth K. Kidd, Kei-Hoi Cheung, David C. Ward, Amy Banks, Patricia Bray-Ward, Lisa Cupelli, Valerie Herdman, Ivonne Marondel, Kate Montcomery, Beatrice Renault, Sunc-Joo Yoon, Kenneth S. Krauter, Raju Kucherlapati |
J. Am. Medical Informatics Assoc. | 3 |
| 1994 | Computer-assisted restriction mapping: an integrated approach to handling experimental uncertaintyabstractBuilding a map of restriction sites from double-digest gel data can be a complex and frustrating task, especially when many DNA fragments are detected or when the gel results are ambiguous. 'Double Digester' is an interactive, graphical computer program which helps researchers understand and resolve such data. It explicitly represents the experimental data, the associated uncertainties, the researcher's hypotheses and possible map interpretations. Alternative solutions are frequently possible, and the differences between them may help determine which additional experiments might resolve ambiguities. Initial use has confirmed the benefits of this approach, and has suggested ways in which it can be refined and extended. Double Digester meets the need for a practical tool to help build restriction maps, and also illustrates how a computer-based tool can confront experimental uncertainty in an integrated fashion. L. W. Wright, J. B. Lichter, John Reinitz, Mark A. Shifman, Kenneth K. Kidd, Perry L. Miller |
Comput. Appl. Biosci. | 5 |