Supplements/Diet/Other Integrative Method Vernacular and Controversies from A to Z: What is the Latest or Greatest, or Not So Great?!

Author(s):  
Mark A. Moyad
Keyword(s):  
2018 ◽  
Vol 29 ◽  
pp. 139-142 ◽  
Author(s):  
Yonglong Guo ◽  
Qiaolang Zeng ◽  
Shiwei Liu ◽  
Quan Yu ◽  
Peiyuan Wang ◽  
...  

2006 ◽  
Vol 2 (8) ◽  
pp. e75 ◽  
Author(s):  
Firas Swidan ◽  
Eduardo P. C Rocha ◽  
Michael Shmoish ◽  
Ron Y Pinter

Author(s):  
Taigang Zhang ◽  
Weicai Wang ◽  
Tanguang Gao ◽  
Baosheng An ◽  
Tandong Yao

2020 ◽  
Author(s):  
Jing Zhang ◽  
Jason Liu ◽  
Patrick McGillivray ◽  
Caroline Yi ◽  
Lucas Lochovsky ◽  
...  

ABSTRACTBackgroundIdentifying frequently mutated regions is a key approach to discover DNA elements influencing cancer progression. However, it is challenging to identify these burdened regions due to mutation rate heterogeneity across the genome and across different individuals. Moreover, it is known that this heterogeneity partially stems from genomic confounding factors, such as replication timing and chromatin organization. The increasing availability of cancer whole genome sequences and functional genomics data from the Encyclopedia of DNA Elements (ENCODE) may help address these issues.ResultsWe developed a Negative binomial regression-based Integrative Method for mutation Burden analysiS (NIMBus). Our approach addresses the over-dispersion of mutation count statistics by (1) using a Gamma-Poisson mixture model to capture the mutation-rate heterogeneity across different individuals and (2) estimating regional background mutation rates by regressing the varying local mutation counts against genomic features extracted from ENCODE.We applied NIMBus to whole-genome cancer sequences from the PanCancer Analysis of Whole Genomes project (PCAWG) and other cohorts. It successfully identified well-known coding and noncoding drivers, such as TP53 and the TERT promoter. To further characterize the burdening of non-coding regions, we used NIMBus to screen transcription factor binding sites in promoter regions that intersect DNase I hypersensitive sites (DHSs). This analysis identified mutational hotspots that potentially disrupt gene regulatory networks in cancer. We also compare this method to other mutation burden analysis methods.ConclusionNIMBus is a powerful tool to identify mutational hotspots. The NIMBus software and results are available as an online resource at github.gersteinlab.org/nimbus.


Author(s):  
José Herbet de Lavor Rolim ◽  
Ronaldo Mangueira Lima Júnior

Reading Scrambled-Lettered Texts (SLT) is a complex activity, related to many factors, including language proficiency. This study investigates the possibility of using SLT as an integrative method to assess language and reading proficiency in English as a Foreign Language (EFL). A SLT reading test in English was applied to ten Brazilian EFL learners and the results were compared to their global and reading scores in the TOEFL ITP. Despite the limitation of the sample size, a negative correlation between the TOEFL scores and the number of errors in the SLT test was found. The results were significant in terms of p-value in four out of six cases and the presence of an outlier suggested an even higher correlation and relevance. A Portuguese SLT test was also applied to the sample, and the participants, who had a similar level of education, presented homogeneous results, contrasting with those found in the English test.


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