標(biāo)題: Titlebook: Bioinformatics; Volume II: Structure Jonathan M. Keith Book 2017Latest edition Springer Science+Business Media New York 2017 genotype.pheno [打印本頁] 作者: 武士精神 時(shí)間: 2025-3-21 19:37
書目名稱Bioinformatics影響因子(影響力)
書目名稱Bioinformatics影響因子(影響力)學(xué)科排名
書目名稱Bioinformatics網(wǎng)絡(luò)公開度
書目名稱Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bioinformatics被引頻次
書目名稱Bioinformatics被引頻次學(xué)科排名
書目名稱Bioinformatics年度引用
書目名稱Bioinformatics年度引用學(xué)科排名
書目名稱Bioinformatics讀者反饋
書目名稱Bioinformatics讀者反饋學(xué)科排名
作者: 叢林 時(shí)間: 2025-3-22 00:17 作者: mechanical 時(shí)間: 2025-3-22 04:26
Inferring Functional Relationships from Conservation of Gene Orderonarily distant prokaryotes they might belong to a polycistronic transcription unit. The procedure presented in this chapter starts with the organization of the genes within genomes into pairs of adjacent genes. Then, the pairs of adjacent genes in a genome of interest are mapped to their correspond作者: ascend 時(shí)間: 2025-3-22 06:32 作者: Irrepressible 時(shí)間: 2025-3-22 09:21
Construction of Functional Gene Networks Using Phylogenetic Profilesndication of a functional association between genes. The phylogenetic profiling method has been applied successfully to the reconstruction of gene pathways and the inference of unknown gene functions. This method requires only sequence data to generate phylogenetic profiles. This method therefore ha作者: ELUDE 時(shí)間: 2025-3-22 16:37 作者: d-limonene 時(shí)間: 2025-3-22 18:45
Integrating Heterogeneous Datasets for Cancer Module Identificationene expression (GE), copy number aberration (CNA), miRNA expression, methylation, and protein–protein Interactions (PPI). One important problem that can potentially be solved using such data is to determine which of the possible pair-wise interactions among genes contributes to a range of cancer-rel作者: 召集 時(shí)間: 2025-3-22 22:58 作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-23 03:46 作者: initiate 時(shí)間: 2025-3-23 06:42
Adjusting for Familial Relatedness in the Analysis of GWAS Dataa) or unknown (cryptic relatedness). All of these forms of familial relatedness have the potential to confound the results of genome-wide association studies. This chapter reviews the major methods available to researchers to adjust for the biases introduced by relatedness and maximize power to dete作者: insomnia 時(shí)間: 2025-3-23 11:35 作者: RUPT 時(shí)間: 2025-3-23 14:17
High-Dimensional Profiling for Computational Diagnosise with microarrays, if all transcripts are known, or even without this restriction using high-throughput RNA sequencing. Other technologies like NMR finger printing allow for high-dimensional profiling of metabolites in blood or urine. Such technologies for high-dimensional patient profiling represe作者: 愛好 時(shí)間: 2025-3-23 19:27 作者: 使苦惱 時(shí)間: 2025-3-23 23:54
Compound Data Mining for Drug Discoveryurce for drug discovery in academic environments as well as in the pharmaceutical industry. To handle large volumes of heterogeneous and complex compound data and extract discovery-relevant knowledge from these data, advanced computational mining approaches are required. Herein, major public compoun作者: Esophagitis 時(shí)間: 2025-3-24 02:53 作者: 羞辱 時(shí)間: 2025-3-24 09:35 作者: INTER 時(shí)間: 2025-3-24 14:44 作者: Orchiectomy 時(shí)間: 2025-3-24 17:00
3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Dataically improves reliability and accuracy of 3D models. This chapter discusses the use of structural information obtained from various paramagnetic NMR measurements and demonstrates computational algorithms implementing pseudocontact shifts as restraints to determine the structure of proteins at atomic resolution.作者: 笨拙的你 時(shí)間: 2025-3-24 23:04 作者: Aphorism 時(shí)間: 2025-3-25 01:56
Inferring Genome-Wide Interaction Networksnt a comparison of the performance of these algorithms using the results of our previously published studies. According to the study results, which were obtained from simulated as well as expression data sets, the inference algorithm C3NET provides consistently better results than the other widely used methods.作者: patriarch 時(shí)間: 2025-3-25 03:58
Analysis of Genome-Wide Association Dataved population structure, is a major cause of false-positive genetic associations, there is a particular focus on the crucial steps required to prepare the SNP data prior to analysis. This is followed by the methods used to perform the actual GWAS and visualization of the results.作者: 步兵 時(shí)間: 2025-3-25 09:34
Studying Antibody Repertoires with Next-Generation Sequencinggn..We outline the main contexts in which antibody repertoire analysis has been used, and summarize the key tools that are available. The humoral immune response to vaccination has been a particular focus of repertoire analyses, and we review the key conclusions and methods used in these studies.作者: dearth 時(shí)間: 2025-3-25 12:35 作者: Original 時(shí)間: 2025-3-25 17:30
https://doi.org/10.1007/978-3-663-15910-0ity is a priori a subjective concept, and difficult to quantify, it must computationally be assessed in a formally consistent manner. Otherwise, there is little utility of similarity calculations. Consistent treatment requires approximations to be made and the consideration of alternative computational similarity concepts, as discussed herein.作者: faucet 時(shí)間: 2025-3-25 22:48 作者: 啟發(fā) 時(shí)間: 2025-3-26 03:44 作者: goodwill 時(shí)間: 2025-3-26 05:08 作者: 小官 時(shí)間: 2025-3-26 12:13
https://doi.org/10.1007/978-3-663-06752-8ion of the genes within genomes into pairs of adjacent genes. Then, the pairs of adjacent genes in a genome of interest are mapped to their corresponding orthologs in other, informative, genomes. The final step is to verify if the mapped orthologs are also pairs of adjacent genes in the informative genomes.作者: STANT 時(shí)間: 2025-3-26 13:05
https://doi.org/10.1007/978-3-663-15911-7studies. This chapter reviews the major methods available to researchers to adjust for the biases introduced by relatedness and maximize power to detect associations. The advantages and disadvantages of different methods are presented with reference to elements of study design, population characteristics, and computational requirements.作者: WAG 時(shí)間: 2025-3-26 20:27 作者: FLIC 時(shí)間: 2025-3-26 21:24 作者: 蕁麻 時(shí)間: 2025-3-27 01:14 作者: mosque 時(shí)間: 2025-3-27 06:44
Adjusting for Familial Relatedness in the Analysis of GWAS Datastudies. This chapter reviews the major methods available to researchers to adjust for the biases introduced by relatedness and maximize power to detect associations. The advantages and disadvantages of different methods are presented with reference to elements of study design, population characteristics, and computational requirements.作者: 發(fā)誓放棄 時(shí)間: 2025-3-27 11:51 作者: figure 時(shí)間: 2025-3-27 17:01
Using the QAPgrid Visualization Approach for Biomarker Identification of Cell-Specific Transcriptomir signatures supported by statistical scores. In doing so, we also aim to find a global map of highly co-expressed clusters. Variations in these clusters may well indicate other pathological trends and changes.作者: 下級(jí) 時(shí)間: 2025-3-27 21:33 作者: CRUE 時(shí)間: 2025-3-28 01:19
Katalog der Gem?lde Gerard Ter Borchsways from the literature has been largely neglected by the text-mining community. In this chapter we describe a pipeline for the extraction of metabolic pathways built on freely available open-source components and a heuristic metabolic reaction extraction algorithm.作者: Peculate 時(shí)間: 2025-3-28 02:27
https://doi.org/10.1007/978-3-663-15912-4nse for new patients using high-dimensional profiles. In this process, they encounter a series of obstacles and pitfalls. We review fundamental issues from machine learning and recommend a procedure for the computational aspects of a clinical profiling study.作者: ambivalence 時(shí)間: 2025-3-28 06:27
Integrating Heterogeneous Datasets for Cancer Module Identificationdates such complex phenomena with higher statistical significance than using a single type of dataset individually. However, computational methods for processing multiple data types simultaneously are needed. This chapter reviews some of the computational methods that use integrated approaches to find cancer-related modules.作者: ECG769 時(shí)間: 2025-3-28 10:41
Metabolic Pathway Miningways from the literature has been largely neglected by the text-mining community. In this chapter we describe a pipeline for the extraction of metabolic pathways built on freely available open-source components and a heuristic metabolic reaction extraction algorithm.作者: 嫻熟 時(shí)間: 2025-3-28 17:14 作者: helper-T-cells 時(shí)間: 2025-3-28 21:12
https://doi.org/10.1007/978-3-642-94462-8ically improves reliability and accuracy of 3D models. This chapter discusses the use of structural information obtained from various paramagnetic NMR measurements and demonstrates computational algorithms implementing pseudocontact shifts as restraints to determine the structure of proteins at atomic resolution.作者: ELATE 時(shí)間: 2025-3-29 02:10
Architektur u. Bauingenieurwesen,redicting function..This chapter proposes a pipeline of freely available Web-based tools to analyze protein-coding DNA and peptide sequences of unknown function. Accumulated information obtained during each step of the pipeline is used to build a testable hypothesis of function..The following methods are described in detail:作者: Aspiration 時(shí)間: 2025-3-29 05:19 作者: Pseudoephedrine 時(shí)間: 2025-3-29 08:39 作者: Cloudburst 時(shí)間: 2025-3-29 13:51 作者: incredulity 時(shí)間: 2025-3-29 15:38 作者: 遵循的規(guī)范 時(shí)間: 2025-3-29 21:05
https://doi.org/10.1007/978-1-4939-6613-4genotype; phenotype; systems of interacting elements; genome-wide association data; computational diagno作者: Modify 時(shí)間: 2025-3-30 02:25 作者: 確定的事 時(shí)間: 2025-3-30 04:52
https://doi.org/10.1007/978-3-642-94462-8ss rates in generating high quality models comparable to the accuracy of structures observed in X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy. A computational/experimental hybrid approach incorporating sparse experimental restraints in computational modeling algorithms drast作者: 清楚說話 時(shí)間: 2025-3-30 09:33
Architektur u. Bauingenieurwesen,data. Ideally the functions of individual genes and proteins predicted by these methods should be assessed experimentally within the context of a defined hypothesis. However, if no hypothesis is known ., or the number of sequences to be assessed is large, bioinformatics techniques may be useful in p作者: 共和國(guó) 時(shí)間: 2025-3-30 13:15
https://doi.org/10.1007/978-3-663-06752-8onarily distant prokaryotes they might belong to a polycistronic transcription unit. The procedure presented in this chapter starts with the organization of the genes within genomes into pairs of adjacent genes. Then, the pairs of adjacent genes in a genome of interest are mapped to their correspond作者: 音樂會(huì) 時(shí)間: 2025-3-30 20:22
https://doi.org/10.1007/978-3-663-06752-8nge of molecular functions and regulatory roles, a consequence of the structural polyvalence of RNA polymers. Albeit several classes of small noncoding RNAs are relatively well characterized, the accessibility of affordable high-throughput sequencing is generating a wealth of novel, unannotated tran作者: Talkative 時(shí)間: 2025-3-30 22:42
https://doi.org/10.1007/978-3-663-14393-2ndication of a functional association between genes. The phylogenetic profiling method has been applied successfully to the reconstruction of gene pathways and the inference of unknown gene functions. This method requires only sequence data to generate phylogenetic profiles. This method therefore ha作者: Morbid 時(shí)間: 2025-3-31 02:04 作者: Absenteeism 時(shí)間: 2025-3-31 08:23 作者: Wordlist 時(shí)間: 2025-3-31 11:46 作者: 等級(jí)的上升 時(shí)間: 2025-3-31 14:30 作者: In-Situ 時(shí)間: 2025-3-31 18:08 作者: 創(chuàng)作 時(shí)間: 2025-3-31 22:45 作者: 攀登 時(shí)間: 2025-4-1 05:29
