Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: To assess the potential of different types of sequence data combined with de novo and hybrid assembly approaches to improve existing draft genome sequences.#R##N##R##N#Results: Illumina, 454 and PacBio sequencing technologies re used to generate de novo and hybrid genome assemblies for four different bacteria, which re assessed for quality using summary statistics (e.g. number of contigs, N50) and in silico evaluation tools. Differences in predictions of multiple copies of rDNA operons for each respective bacterium re evaluated by PCR and Sanger sequencing, and then the validated results re applied as an additional criterion to rank assemblies. In general, assemblies using longer PacBio reads re better able to resolve repetitive regions. In this study, the combination of Illumina and PacBio sequence data assembled through the ALLPATHS-LG algorithm gave the best summary statistics and most accurate rDNA operon number predictions. This study will aid others looking to improve existing draft genome assemblies.#R##N##R##N#Availability and implementation: All assembly tools except CLC Genomics Workbench are freely available under GNU General Public License.#R##N##R##N#Contact: vog.lnro@dsnworb#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online.
['Sagar M. Utturkar', 'Dawn Marie Klingeman', 'Miriam L. Land', 'Christopher W. Schadt', 'Mitchel J. Doktycz', 'Dale A. Pelletier', 'Steven D. Brown']
I am writing a research paper on a idea Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences
[{"from": "human", "value": "I am writing a research paper on a idea Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: To assess the potential of different types of sequence data combined with de novo and hybrid assembly approaches to improve existing draft genome sequences.#R##N##R##N#Results: Illumina, 454 and PacBio sequencing technologies re used to generate de novo and hybrid genome assemblies for four different bacteria, which re assessed for quality using summary statistics (e.g. number of contigs, N50) and in silico evaluation tools. Differences in predictions of multiple copies of rDNA operons for each respective bacterium re evaluated by PCR and Sanger sequencing, and then the validated results re applied as an additional criterion to rank assemblies. In general, assemblies using longer PacBio reads re better able to resolve repetitive regions. In this study, the combination of Illumina and PacBio sequence data assembled through the ALLPATHS-LG algorithm gave the best summary statistics and most accurate rDNA operon number predictions. This study will aid others looking to improve existing draft genome assemblies.#R##N##R##N#Availability and implementation: All assembly tools except CLC Genomics Workbench are freely available under GNU General Public License.#R##N##R##N#Contact: vog.lnro@dsnworb#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online."}]