Identifying Composition Novelty in Microbiome Studies: Improvement for Prediction Accuracy
نویسندگان
چکیده
منابع مشابه
simulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
Accuracy improvement for identifying translation initiation sites in microbial genomes
MOTIVATION At present the computational gene identification methods in microbial genomes have a high prediction accuracy of verified translation termination site (3' end), but a much lower accuracy of the translation initiation site (TIS, 5' end). The latter is important to the analysis and the understanding of the putative protein of a gene and the regulatory machinery of the translation. Impr...
متن کاملSSUnique: Detecting Sequence Novelty in Microbiome Surveys
High-throughput sequencing of small-subunit (SSU) rRNA genes has revolutionized understanding of microbial communities and facilitated investigations into ecological dynamics at unprecedented scales. Such extensive SSU rRNA gene sequence libraries, constructed from DNA extracts of environmental or host-associated samples, often contain a substantial proportion of unclassified sequences, many re...
متن کاملAccuracy Improvement for RNA Secondary Structure Prediction with SVM
Prediction of RNA secondary structures has drawn much attention from both biologists and computer scientists. Consequently, many useful tools have been developed for this purpose, with or without pseudoknots. These tools have their individual strength and weakness. As a result, we propose a hybrid feature extraction method which integrates two prediction tools pknotsRG and NUPACK with a support...
متن کاملa framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran
the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: mBio
سال: 2019
ISSN: 2150-7511
DOI: 10.1128/mbio.00892-19