Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 1 ABSTRACT Summary: The search for short words that are absent in the ge- nome of one or more organisms (neverwords, also known as nul- lomers) is attracting growing interest due to the impact they may have in recent molecular biology applications. keeSeek is able to find absent sequences with primer-like features which can be used as unique labels for exogenously inserted DNA fragments in order to recover their exact position into the genome using PCR techniques. The main differences with respect to previously developed tools for neverwords generation are: 1) calculation of the distance from the reference genome, in terms of number of mismatches, and selection of the most distant sequences that will have a low probability to anneal unspecifically; 2) application of a series of filters to discard candidates not suitable to be employed as PCR primers. KeeSeek has been implemented in C++ and and CUDA (Compute Unified Device Architecture) to work in a GPGPU (General-Purpose Compu- ting on Graphics Processing Units). Availability: freely available under the Q Public License at http://www.medcomp.medicina.unipd.it/main_site/doku.php?id=kees eek Supplementary information: Supplementary data are available at Bioinformatics online.
['Marco Falda', 'Paolo Fontana', 'Luisa Barzon', 'Stefano Toppo', 'Enrico Lavezzo']
I am writing a research paper on a idea keeSeek: Searching distant non-existing words in genomes for PCR-based applications
[{"from": "human", "value": "I am writing a research paper on a idea keeSeek: Searching distant non-existing words in genomes for PCR-based applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 1 ABSTRACT Summary: The search for short words that are absent in the ge- nome of one or more organisms (neverwords, also known as nul- lomers) is attracting growing interest due to the impact they may have in recent molecular biology applications. keeSeek is able to find absent sequences with primer-like features which can be used as unique labels for exogenously inserted DNA fragments in order to recover their exact position into the genome using PCR techniques. The main differences with respect to previously developed tools for neverwords generation are: 1) calculation of the distance from the reference genome, in terms of number of mismatches, and selection of the most distant sequences that will have a low probability to anneal unspecifically; 2) application of a series of filters to discard candidates not suitable to be employed as PCR primers. KeeSeek has been implemented in C++ and and CUDA (Compute Unified Device Architecture) to work in a GPGPU (General-Purpose Compu- ting on Graphics Processing Units). Availability: freely available under the Q Public License at http://www.medcomp.medicina.unipd.it/main_site/doku.php?id=kees eek Supplementary information: Supplementary data are available at Bioinformatics online."}]