Identifying relatedness

RNA viruses such as HCV and HIV mutate at extremely high rates, and as a result, they exist in infected hosts as populations of genetically related variants. Recent advances in sequencing technologies make possible to identify such populations at great depth. In particular, these technologies provide new opportunities for inference of relatedness between viral samples, identification of transmission clusters and sources of infection, which are crucial tasks for viral outbreaks investigations.

8p vilarryellison 29-10-2021 13 1   Download

This study re-analyzed, using multi-locus sequence typing (MLST) and whole genome sequence with single nucleotide polymorphism analysis (WGS-SNP), 52 strains which had been identified as Enterobacter sakazakii as according to the convention at the time of isolation. These strains had been isolated from dairy product imports into China from 9 countries between 2005 and 6. Bioinformatic analysis was then used to analyze the relatedness and global dissemination of these strains.

9p vibeauty 23-10-2021 10 1   Download

Genomic information allows population relatedness to be inferred and selected genes to be identified. Single nucleotide polymorphism microarray (SNP-chip) data, a proxy for genome composition, contains patterns in allele order and proportion.

21p vikentucky2711 26-11-2020 9 0   Download

Identifying relatedness among diseases could help deepen understanding for the underlying pathogenic mechanisms of diseases, and facilitate drug repositioning projects. A number of methods for computing disease similarity had been developed; however, none of them were designed to utilize information of the entire protein interaction network, using instead only those interactions involving disease causing genes.

13p vioklahoma2711 19-11-2020 15 2   Download

Total 9 SSR markers were utilized to study the genetic relatedness among all thirty genotypes of turmeric. Six identified SSR markers are highly informative for genetic studies and are extremely useful in distinguishing the polymorphism rate at a specific locus in turmeric. Primer pair’s viz., 11 and 12, 5 and 6 and 13 and 14 generated higher levels of polymorphism and these could be used to differentiate turmeric genotypes under study. The molecular diversity analysis indicated presence of ample genetic diversity among the genotypes studied, which were grouped into 2 clusters.

9p angicungduoc5 14-06-2020 10 1   Download

Random Amplified Polymorphic DNA (RAPD) Markers were use to determined the genetic variability of eight divers cowpea (Vigna unguiculata L. walp) genotypes from different eco-geographical regions of India. Total primers 40 out of there 35 could be generated DNA fragment were 1479 but were as 1159 showed polymorphic pattern with 78.34 per cent. The polymorphism was scored and used in band sharing analysis to identify genetic relationship between the genotypes.

8p caygaocaolon3 09-03-2020 29 1   Download

Most isolates of the genus Trichoderma were found to act as mycoparasites of many economically important aerial and soil-borne plant pathogens. Trichoderma has gained importance as a substitute for chemical pesticides and hence an attempt was intended to corroborate the positive relatedness of molecular and morphological characters. Fungal strains of Trichoderma BSAs were isolated collected from four different districts of Uttar Pradesh, India. The universal primers were used for amplification of 5.8SrRNA gene fragment and the strain was characterized by using 5.

9p cothumenhmong1 11-12-2019 9 0   Download

The purpose of this paper is to examine the promising contributions of the Concept Maps for Learning (CMfL) website to assessment for learning practices. The CMfL website generates concept maps from relatedness degree of concepts pairs through the Pathfinder Scaling Algorithm. This website also confirms the established principles of effective assessment for learning, for it is capable of automatically assessing students’ higher order knowledge, simultaneously identifying strengths and weaknesses, immediately providing useful feedback and being user-friendly.

16p kequaidan1 05-11-2019 34 0   Download

Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of product review, analysis of responses to surveys, and mining online discussions. We propose a method for identifying the polarity of words. We apply a Markov random walk model to a large word relatedness graph, producing a polarity estimate for any given word. A key advantage of the model is its ability to accurately and quickly assign a polarity sign and magnitude to any word. ...

9p hongdo_1 12-04-2013 45 1   Download

In this paper, given a text document, we first iden- tify events and their associated arguments. We then identify causality or relatedness relations between event pairs. To do this, we develop a minimally su- pervised approach using focused distributional sim- ilarity methods, such as co-occurrence counts of events collected automatically from an unannotated corpus, to measure and predict existence of causal- ity relations between event pairs.

16p giamdocamnhac 06-04-2013 60 6   Download