MultiSeq: unifying sequence and structure data for evolutionary analysis

Background: Since the publication of the first draft of the human genome in 2000, bioinformatic data have been accumulating at an overwhelming pace. Currently, more than 3 million sequences and 35 thousand structures of proteins and nucleic acids are available in public databases. Finding correlations in and between these data to answer critical research questions is extremely challenging. This problem needs to be approached from several directions: information science to organize and search the data; information visualization to assist in recognizing correlations; mathematics to formulate statistical inferences; and biology to analyze chemical and physical properties in terms of sequence and structure changes. Results: Here we present MultiSeq, a unified bioinformatics analysis environment that allows one to organize, display, align and analyze both sequence and structure data for proteins and nucleic acids. While special emphasis is placed on analyzing the data within the framework ...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Elijah Roberts, John Eargle, Dan Wright, Zaida Luthey-Schulten
• Keywords: BMCBI 2006, Homologous Group, Nucleic Acids, Proteins