LAILAPS: The Plant Science Search Engine

LAILAPS: The Plant Science Search Engine

With the number of sequenced plant genomes growing, the number of predicted genes and functional annotations is also increasing. The association between genes and phenotypic traits is currently of great interest. Unfortunately, the information available today is widely scattered over a number of different databases. Information retrieval (IR) has become an all-encompassing bioinformatics method...

The LAILAPS Search Engine: Relevance Ranking in Life Science Databases

Search engines and retrieval systems are popular tools at a life science desktop. The manual inspection of hundreds of database entries, that reflect a life science concept or fact, is a time intensive daily work. Hereby, not the number of query results matters, but the relevance does. In this paper, we present the LAILAPS search engine for life science databases. The concept is to combine a no...

Information Retrieval in Life Sciences: The LAILAPS Search Engine

Retrieval and citation of primary data is the important factor in the approaching e-science age. Solving the challenge of building a flexible but homogeneous bioinformatics information retrieval infrastructure to access and query the world life science databases is a crucial factor for an efficient building bioinformatics infrastructure. In this contribution, we demonstrate the use of nine feat...

Google's PageRank and beyond - the science of search engine rankings

Why doesn't your home page appear on the first page of search results, even when you query your own name? How do other web pages always appear at the top? What creates these powerful rankings? And how? The first book...

Google’s PageRank and Beyond: The Science of Search Engine Rankings This page intentionally left blank Google’s PageRank and Beyond: The Science of Search Engine Rankings