ScienceIQ.com

Hubble & Keck Teams Find Farthest Known Galaxy in Universe

An international team of astronomers may have set a new record in discovering what is the most distant known galaxy in the universe. Located an estimated 13 billion light-years away, the object is being viewed at a time only 750 million years after the big bang, when the universe was barely 5 percent of its current age. The primeval galaxy was ...

Continue reading...

HubbleKeck
Biology

Billions and Billions

Nobody really knows how many brain cells anybody has, but typical estimates are around 200 billion. You've heard the late Carl Sagan talk about 'billions and billions of stars' in the universe. Think ... Continue reading

BillionsBillions
Engineering

Big Boom

They sound like thunder, but they're not. They're sonic booms, concentrated blasts of sound waves created as vehicles travel faster than the speed of sound. To understand how the booms are created, ... Continue reading

BigBoom
Engineering

Alloys

Water is a clear colorless liquid. So is methanol. If one were to take a quantity of methanol and pour it into some water, the result is also a clear colorless liquid. But this one is something new; a ... Continue reading

Alloys
Astronomy

Galaxy Cluster RDCS 1252.9-2927

A color composite image of the galaxy cluster RDCS 1252.9-2927 shows the X-ray (purple) light from 70-million-degree Celsius gas in the cluster, and the optical (red, yellow and green) light from the ... Continue reading

GalaxyClusterRDCS125292927

Bioinformatics

BioinformaticsBioinformatics is the field of science in which biology, computer science, and information technology merge to form a single discipline. The ultimate goal of the field is to enable the discovery of new biological insights as well as to create a global perspective from which unifying principles in biology can be discerned. At the beginning of the 'genomic revolution', a bioinformatics concern was the creation and maintenance of a database to store biological information, such as nucleotide and amino acid sequences. Development of this type of database involved not only design issues but the development of complex interfaces whereby researchers could both access existing data as well as submit new or revised data.

Ultimately, however, all of this information must be combined to form a comprehensive picture of normal cellular activities so that researchers may study how these activities are altered in different disease states. Therefore, the field of bioinformatics has evolved such that the most pressing task now involves the analysis and interpretation of various types of data, including nucleotide and amino acid sequences, protein domains, and protein structures. The actual process of analyzing and interpreting data is referred to as computational biology.

Although a human disease may not be found in exactly the same form in animals, there may be sufficient data for an animal model that allow researchers to make inferences about the process in humans. The rationale for applying computational approaches to facilitate the understanding of various biological processes includes a more global perspective in experimental design and the ability to capitalize on the emerging technology of database-mining - the process by which testable hypotheses are generated regarding the function or structure of a gene or protein of interest by identifying similar sequences in better characterized organisms.