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How to Find the Rarest of the Rare in Southern Skies

By Guest PostDecember 18, 2013Scienceabhijit saha, andean peaks, antares, arizona noao, astronomical objects, astronomically interesting, bio5 institute, cerro pachon, Chile, disease outbreak, irregular galaxy, john kececioglu, large magellanic cloud, lsst project, noao, rare, rarest, resource for astronomy, rick snodgrass, software, southern skies, tom matheson, university of arizona

An interdisciplinary UA team is developing a computer program that will sort through up to 10 million alerts of astronomical objects each night from the Large Synoptic Survey Telescope, which will begin operations in Chile in 2022.

University of Arizona computer scientists are teaming up with astronomers at the National Optical Astronomical Observatory to develop a computer program that will sort through the millions of objects detected by the Large Synoptic Survey Telescope and create a list of priorities for astronomers to investigate. The project has recently received a three-year INSPIRE grant, worth more than $700,000, from the National Science Foundation. (more…)

A Boost for Analyzing Biological Sequences

By Guest PostFebruary 10, 2013Scienceanalyzing sequence data, best parameters, biological molecules, biologists, computational biologists, computational model, dan deblasio, detect, DNA, evolutionary past, guessing game, improved software, john kececioglu, model, parameter advising, parameter values, parameters, phenomena, predict missing data, proteins, run alignment software, software tools, species, ua computer scientists, university of arizona

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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How to Find the Rarest of the Rare in Southern Skies

A Boost for Analyzing Biological Sequences