In a paper entitled Boosting Haplotype Inference with Local Search, just published in Constraints: An International Journal, Professor Joao Marques-Silva, at the University's School of Electronics and Computer Science and collaborators, describe a new approach to the process of inferring haplotype information from genotype data.
A haplotype can be defined as a group of alleles of one or more genes on a single chromosome that are closely enough linked to be inherited usually as a unit and a genotype refers to the combination of alleles inherited from both parents.
According to Professor Marques-Silva, the current method of extracting haplotypes from genotype data is based on statistical approaches, which can take a long time to compute.
Professor Marques-Silva and collaborators approached this scenario by taking the Haplotype Inference by Pure Parsimony (HIPP), a solution that minimises the total number of distinct haplotypes used, and developed new algorithms which they applied to achieve faster results.
'Biologists have been using these statistical approaches for a long time and may not be open to change,' he said. 'However, these methods can take days, even months to terminate, whereas our approach produces an almost instant result.'
Further research is being carried out currently by Professor Marques-Silva and collaborators to validate this new method and to prove that it could replace statistical methods in a number of settings.
'This is the biggest development that we have made in this field so far,' said Professor Marques-Silva. 'It remains to be seen whether biologists will use this instead of existing techniques.'
Helene Murphy | alfa
Chips, light and coding moves the front line in beating bacteria
16.08.2018 | Okinawa Institute of Science and Technology (OIST) Graduate University
Protein droplets keep neurons at the ready and immune system in balance
16.08.2018 | Howard Hughes Medical Institute
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
Scientists have discovered that the electrical resistance of a copper-oxide compound depends on the magnetic field in a very unusual way -- a finding that could help direct the search for materials that can perfectly conduct electricity at room temperatur
What happens when really powerful magnets--capable of producing magnetic fields nearly two million times stronger than Earth's--are applied to materials that...
08.08.2018 | Event News
27.07.2018 | Event News
25.07.2018 | Event News
16.08.2018 | Earth Sciences
16.08.2018 | Life Sciences
16.08.2018 | Materials Sciences