Extracting Evolutionary Insights Using Bioinformatics

Extracting Evolutionary Insights Using Bioinformatics

1 Laboratory of Molecular Systematics, Limnological institute, Ulan-Batorskaya Str. 3, Irkutsk 664033, Russia 2 Department of Biology, Irkutsk University, Sukhe-Bator 5, Irkutsk 664003, Russia 3 Department of Mathematical Methods in Biology, Belozersky Institute, Moscow State University, Vorbyevy Gory 1-40, Moscow 119991, Russia 4 Institute for Information Transmission Problems, Russian Academy...

Evolution, Bioinformatics and Evolutionary Bioinformatics Online

E volutionary Bioinformatics Online enjoyed a busy and productive fi rst year in 2005, capped off by being accepted by the Literature Selection and Technical Review Committee at the National Library of Medicine in the US, for inclusion in PubMed Central. This means that EBO will be indexed online in this internationally preeminent archive. A brief history. Evolutionary Bioinformatics Online was...

Extracting insights from the shape of complex data using topology

This paper applies topological methods to study complex high dimensional data sets by extracting shapes (patterns) and obtaining insights about them. Our method combines the best features of existing standard methodologies such as principal component and cluster analyses to provide a geometric representation of complex data sets. Through this hybrid method, we often find subgroups in data sets ...

Bioinformatics for evolutionary developmental biology

Evolutionary Algorithms: Concepts, Designs, and Applications in Bioinformatics: Evolutionary Algorithms for Bioinformatics

Since genetic algorithm was proposed by John Holland (Holland J. H., 1975) in the early 1970s, the study of evolutionary algorithm has emerged as a popular research field (Civicioglu & Besdok, 2013). Researchers from various scientific and engineering disciplines have been digging into this field, exploring the unique power of evolutionary algorithms (Hadka & Reed, 2013). Many applications have...