Tag Archives: evolutionary past

A Boost for Analyzing Biological Sequences

UA computer scientists John Kececioglu and Dan DeBlasio are developing improved software that provides biologists with much more accurate results when analyzing sequence data.

Imagine trying to construct a brick building with fewer than the requisite number of bricks and without a detailed blueprint.

Welcome to the world of computational biologists.

When biologists study proteins, DNA, or other biological molecules that are represented in the computer as sequences, they rely on known information but also must predict missing data. Given that reality, major challenges exist to having accurate results. (more…)

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