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BMCBI
2004
96views more  BMCBI 2004»
13 years 9 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
IJMMS
1998
153views more  IJMMS 1998»
13 years 8 months ago
Brahms: simulating practice for work systems design
A continuing problem in business today is the design of human-computer systems that respect how work actually gets done. The overarching context of work consists of activities, wh...
William J. Clancey, Patricia Sachs, Maarten Sierhu...
TOCHI
1998
89views more  TOCHI 1998»
13 years 8 months ago
Using Metalevel Techniques in a Flexible Toolkit for CSCW Applications
Ideally, software toolkits for collaborative applications should provide generic, reusable components, applicable in a wide range of circumstances, which software developers can as...
Paul Dourish
OOPSLA
2010
Springer
13 years 7 months ago
Scalable and systematic detection of buggy inconsistencies in source code
Software developers often duplicate source code to replicate functionality. This practice can hinder the maintenance of a software project: bugs may arise when two identical code ...
Mark Gabel, Junfeng Yang, Yuan Yu, Moisés G...
PRL
2010
158views more  PRL 2010»
13 years 7 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain