Quantitative Biology最新文献

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Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads data. 基于下一代测序读取数据的马尔可夫链转移概率置信区间。
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-07-13 Epub Date: 2020-05-25 DOI: 10.1007/s40484-020-0200-y
Lin Wan, Xin Kang, Jie Ren, Fengzhu Sun
{"title":"Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads data.","authors":"Lin Wan,&nbsp;Xin Kang,&nbsp;Jie Ren,&nbsp;Fengzhu Sun","doi":"10.1007/s40484-020-0200-y","DOIUrl":"https://doi.org/10.1007/s40484-020-0200-y","url":null,"abstract":"<p><strong>Background: </strong>Markov chains (MC) have been widely used to model molecular sequences. The estimations of MC transition matrix and confidence intervals of the transition probabilities from long sequence data have been intensively studied in the past decades. In next generation sequencing (NGS), a large amount of short reads are generated. These short reads can overlap and some regions of the genome may not be sequenced resulting in a new type of data. Based on NGS data, the transition probabilities of MC can be estimated by moment estimators. However, the classical asymptotic distribution theory for MC transition probability estimators based on long sequences is no longer valid.</p><p><strong>Methods: </strong>In this study, we present the asymptotic distributions of several statistics related to MC based on NGS data. We show that, after scaling by the effective coverage <i>d</i> defined in a previous study by the authors, these statistics based on NGS data approximate to the same distributions as the corresponding statistics for long sequences.</p><p><strong>Results: </strong>We apply the asymptotic properties of these statistics for finding the theoretical confidence regions for MC transition probabilities based on NGS short reads data. We validate our theoretical confidence intervals using both simulated data and real data sets, and compare the results with those by the parametric bootstrap method.</p><p><strong>Conclusions: </strong>We find that the asymptotic distributions of these statistics and the theoretical confidence intervals of transition probabilities based on NGS data given in this study are highly accurate, providing a powerful tool for NGS data analysis.</p>","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"8 2","pages":"143-154"},"PeriodicalIF":3.1,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0200-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39185013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
DNA sequencing using nanopores and kinetic proofreading 利用纳米孔进行DNA测序和动力学校对
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-07-02 DOI: 10.1007/s40484-020-0201-x
X. Ling
{"title":"DNA sequencing using nanopores and kinetic proofreading","authors":"X. Ling","doi":"10.1007/s40484-020-0201-x","DOIUrl":"https://doi.org/10.1007/s40484-020-0201-x","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":"1-8"},"PeriodicalIF":3.1,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0201-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49224985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transcriptome-wide association studies: a view from Mendelian randomization 全转录组关联研究:孟德尔随机化的观点
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-06-17 DOI: 10.1007/s40484-020-0207-4
Huanhuan Zhu, Xiang Zhou
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引用次数: 22
Large-scale analysis of the position-dependent binding and regulation of human RNA binding proteins. 人类RNA结合蛋白位置依赖性结合和调控的大规模分析。
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-06-01 DOI: 10.1007/s40484-020-0206-5
Jianan Lin, Zhengqing Ouyang
{"title":"Large-scale analysis of the position-dependent binding and regulation of human RNA binding proteins.","authors":"Jianan Lin,&nbsp;Zhengqing Ouyang","doi":"10.1007/s40484-020-0206-5","DOIUrl":"https://doi.org/10.1007/s40484-020-0206-5","url":null,"abstract":"<p><strong>Background: </strong>RNA binding proteins (RBPs) play essential roles in the regulation of RNA metabolism. Recent studies have disclosed that RBPs achieve their functions via binding to their targets in a position-dependent pattern on RNAs. However, few studies have systematically addressed the associations between the RBP's functions and their positional binding preferences.</p><p><strong>Methods: </strong>Here, we present large-scale analyses on the functional targets of human RBPs by integrating the enhanced cross-linking and immunoprecipitation followed by sequencing (eCLIP-seq) datasets and the shRNA knockdown followed by RNA-seq datasets that are deposited in the integrated ENCyclopedia of DNA Elements in the human genome (ENCODE) data portal.</p><p><strong>Results: </strong>We found that (1) binding to the translation termination site and the 3'untranslated region is important to most human RBPs in the RNA decay regulation; (2) RBPs' binding and regulation follow a cell-type specific pattern.</p><p><strong>Conclusions: </strong>These analysis results show the strong relationship between the binding position and the functions of RBPs, which provides novel insights into the RBPs' regulation mechanisms.</p>","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"8 2","pages":"119-129"},"PeriodicalIF":3.1,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0206-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39150713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A censored-Poisson model based approach to the analysis of RNA-seq data 基于截尾泊松模型的RNA-seq数据分析方法
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-06-01 DOI: 10.1007/s40484-020-0208-3
Xing Chen, Y. Lai
{"title":"A censored-Poisson model based approach to the analysis of RNA-seq data","authors":"Xing Chen, Y. Lai","doi":"10.1007/s40484-020-0208-3","DOIUrl":"https://doi.org/10.1007/s40484-020-0208-3","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":"1-17"},"PeriodicalIF":3.1,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0208-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47639660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Prediction and differential analysis of RNA secondary structure RNA二级结构的预测与差异分析
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-05-09 DOI: 10.1007/s40484-020-0205-6
Bo Yuan, Yao Lu, Q. Zhang, Lin Hou
{"title":"Prediction and differential analysis of RNA secondary structure","authors":"Bo Yuan, Yao Lu, Q. Zhang, Lin Hou","doi":"10.1007/s40484-020-0205-6","DOIUrl":"https://doi.org/10.1007/s40484-020-0205-6","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":"1-10"},"PeriodicalIF":3.1,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0205-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47773580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Cistrome Data Browser and Toolkit: analyzing human and mouse genomic data using compendia of ChIP-seq and chromatin accessibility data Cistrome数据浏览器和工具包:使用ChIP-seq和染色质可及性数据的概要分析人类和小鼠基因组数据
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-05-04 DOI: 10.1007/s40484-020-0204-7
Rongbin Zheng, Xin Dong, Changxin Wan, Xiaoying Shi, Xiaoyan Zhang, Clifford A. Meyer
{"title":"Cistrome Data Browser and Toolkit: analyzing human and mouse genomic data using compendia of ChIP-seq and chromatin accessibility data","authors":"Rongbin Zheng, Xin Dong, Changxin Wan, Xiaoying Shi, Xiaoyan Zhang, Clifford A. Meyer","doi":"10.1007/s40484-020-0204-7","DOIUrl":"https://doi.org/10.1007/s40484-020-0204-7","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"8 1","pages":"267-276"},"PeriodicalIF":3.1,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0204-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48020516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Applications of probability and statistics in cancer genomics 概率与统计学在癌症基因组学中的应用
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-04-29 DOI: 10.1007/s40484-020-0203-8
Xiaotu Ma, Sasi Arunachalam, Yanling Liu
{"title":"Applications of probability and statistics in cancer genomics","authors":"Xiaotu Ma, Sasi Arunachalam, Yanling Liu","doi":"10.1007/s40484-020-0203-8","DOIUrl":"https://doi.org/10.1007/s40484-020-0203-8","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":"1-14"},"PeriodicalIF":3.1,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-020-0203-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45840074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Infrared imageries of human body activated by teas indicate the existence of meridian system 茶激活人体的红外图像表明经络系统的存在
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-04-13 DOI: 10.21203/rs.3.rs-20030/v1
Wenli Jin, Yi Tao, Chen Wang, Lufei Wang, Xue Ao, Mingjie Su, Binwei Hu, Yuxiao Ouyang, Jiaxing Liu, Hui Li
{"title":"Infrared imageries of human body activated by teas indicate the existence of meridian system","authors":"Wenli Jin, Yi Tao, Chen Wang, Lufei Wang, Xue Ao, Mingjie Su, Binwei Hu, Yuxiao Ouyang, Jiaxing Liu, Hui Li","doi":"10.21203/rs.3.rs-20030/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-20030/v1","url":null,"abstract":"\u0000 BackgroundHuman meridian (Jingluo) system was hypothesized by traditional Chinese medicine (TCM) for thousands of years. In this hypothesis, there believed to be twelve formal meridian channels going through respective organs, carrying fluid and energy, and laying thermal effects. Some treatments based on meridians have been proved effective. However, existence of meridians has never been confirmed. The infrared photograph was employed to display the picture to the meridians since 1970. Unfortunately, no satisfactory results have been obtained. We think that only when a certain meridian is activated will there be thermal effect for successful infrared photograph.Methods We selected thirteen types of tea out of the herbs to activate the hypothesized twelve meridians for imagery taking. We collected 42 volunteers to drink teas and take infrared imageries in thirteen days. After every tea was drunk, infrared imageries of the human bodies were taken immediately. The highest temperatures of the fingers, palms, and above the organs were derived from the imageries. The averages and standard deviations of the standardized data of volunteers were calculated. Significances of the temperature difference among the body areas after drinking different teas were evaluated. ResultsWe found that the temperatures of the organs and fingers possibly connected by twelve hypothesized meridians rose together significantly, i.e., the thumbs and lung after white teas, index fingers and colon after blue teas, middle fingers and thymus after dark black teas, ring fingers and gallbladder after red black teas, little fingers and heart after yellow teas. The temperature distribution on the human bodies exhibited twelve patterns following the meridian hypothesis. Infrared imageries showed quite clear shapes of the organs activated by the teas, e.g., heart and kidneys by yellow teas, thymus by dark black teas, lungs and spleen by white teas, gallbladder and thyroid by red black teas, etc. Some high temperature lines also matched the hypothetic meridians. ConclusionsOur work displayed the imageries of the possible meridians for the first time, and proved with data that different foods may activate different organs following the meridian hypothesis, shedding light on a possible new method of targeted drug designs.","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45278489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A pan-cancer integrative pathway analysis of multi-omics data 多组学数据的泛癌综合通路分析
IF 3.1 4区 生物学
Quantitative Biology Pub Date : 2020-03-16 DOI: 10.1007/s40484-019-0185-6
Henry Linder, Yuping Zhang
{"title":"A pan-cancer integrative pathway analysis of multi-omics data","authors":"Henry Linder, Yuping Zhang","doi":"10.1007/s40484-019-0185-6","DOIUrl":"https://doi.org/10.1007/s40484-019-0185-6","url":null,"abstract":"","PeriodicalId":45660,"journal":{"name":"Quantitative Biology","volume":"1 1","pages":"1-13"},"PeriodicalIF":3.1,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40484-019-0185-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45967454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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