Senator warns US could plot strike against Syria under pretext of alleged chemical attackRussian Politics & Diplomacy June 27, 16:16
Russian, Ukrainian companies' websites under massive cyber attackWorld June 27, 16:14
Seoul mayor presents his 'e-government' urban administration system to TASSWorld June 27, 15:35
Envoy says military dialogue may help ensure safety over Baltic SeaRussian Politics & Diplomacy June 27, 15:13
Rosneft reports massive cyberattack on its serversBusiness & Economy June 27, 15:08
Russia’s advanced drone helicopters to be displayed at defense showMilitary & Defense June 27, 14:56
Russia fully complies with terms of oil production cut deal — Energy MinistryBusiness & Economy June 27, 14:29
Kremlin has no information about pending chemical attacks in SyriaRussian Politics & Diplomacy June 27, 14:26
Russian hi-tech firm to feature submarine Internet technology at St. Petersburg naval showMilitary & Defense June 27, 13:58
MOSCOW, January 13. /TASS/. A team of scientists from Germany, the United States and Russia have developed an algorithm to automate the process of searching for genes and making it more efficient, the Moscow Institute of Physics and Technology said in a press release on Wednesday.
"The new development combines the advantages of the most advanced tools for working with genomic data", the institute said.
The algorithm proposed by the Russian scientists and their colleagues determines which regions in the DNA are genes and which are not. The algorithm determines the most probable division of a genome into coding and noncoding regions. The developed program has already been downloaded by more than 1500 different centers and laboratories. The example running time of BRAKER1 on a single processor is about 17.5 hours for training and the prediction of genes in a genome with a length of 120 megabases. In the future the algorithm may be able to function faster due to parallel processing.
Annotating genomes or determining which particular DNA molecules are used to synthesize RNA and proteins is one of the most important area of bioinformatics. Many studied do not need information about the entire DNA (which is around 2 meters long for a single human cell), but about its most informative part - genes. In the future, this data will help doctors to diagnose complex diseases such as heart disease, diabetes, and cancer.
The paper describing the algorithm was published recently in the journal Bioinformatic.