標(biāo)題: Titlebook: Clinical Bioinformatics; Ronald Trent Book 2014Latest edition Springer Science+Business Media New York 2014 DNA sequencing.analytes.bioinf [打印本頁] 作者: 老鼠系領(lǐng)帶 時(shí)間: 2025-3-21 16:56
書目名稱Clinical Bioinformatics影響因子(影響力)
作者: 財(cái)政 時(shí)間: 2025-3-21 22:46
Production and Analytic Bioinformatics for Next-Generation DNA Sequencing,dictable. At the same time, the bewildering amount of information produced during these analyses needs to be carefully managed, used and interpreted correctly. The challenge for clinical laboratories now is to implement production analytical processes that are capable of handling different experimen作者: 免除責(zé)任 時(shí)間: 2025-3-22 01:59
Analyzing the Metabolome,prediction of the phenotype and the nature of a disease. Mass spectrometry now allows thousands of metabolites to be quantitated. The targeted or untargeted data from metabolic profiling can be combined with either supervised or unsupervised approaches to improve interpretation. These sophisticated 作者: 魔鬼在游行 時(shí)間: 2025-3-22 07:20
Statistical Perspectives for Genome-Wide Association Studies (GWAS),well (Subheading 3.1), paying particular attention to case and control selection and achieving adequate sample size to deal with the large burden of multiple testing. Second, we focus on the crucial step of applying stringent quality control (Subheading 3.2) to genotyping results. The most crucial p作者: ENDOW 時(shí)間: 2025-3-22 10:09
Bioinformatics Challenges in Genome-Wide Association Studies (GWAS),netic architecture of diseases and open up new opportunities for treatment and prevention. However, despite its successes, GWAS have not been able to identify genetic loci that are effective classifiers of disease, limiting their value for genetic testing. This chapter highlights the challenges that作者: 調(diào)整 時(shí)間: 2025-3-22 14:45
Studying Cancer Genomics Through Next-Generation DNA Sequencing and Bioinformatics,o distinguish them from inherited germline mutations, can include single-nucleotide substitutions, insertions, deletions, copy number alterations, and structural rearrangements. A patient’s cancer can contain a combination of these aberrations, and the ability to generate a comprehensive genetic pro作者: 調(diào)整 時(shí)間: 2025-3-22 20:58
Using Bioinformatics Tools to Study the Role of microRNA in Cancer, groups have described transcript variants as well as discovering new transcribed loci and noncoding RNAs, including microRNAs. In oncology, expression profiling of microRNAs in matched tumor and normal tissues has been used to detect differential expression of microRNAs in cancer. We present one ap作者: 冥界三河 時(shí)間: 2025-3-22 21:52 作者: 可耕種 時(shí)間: 2025-3-23 02:09
Bioinformatics Approach to Understanding Interacting Pathways in Neuropsychiatric Disorders,th the increasing interest in the molecular aspect of neuropsychiatry and the availability of high-throughput discovery and analysis tools have encouraged the incorporation of bioinformatics and neurosystems biology techniques into psychiatry and neuroscience research. As applied to neuropsychiatry,作者: 動物 時(shí)間: 2025-3-23 07:51 作者: POINT 時(shí)間: 2025-3-23 11:19 作者: 意見一致 時(shí)間: 2025-3-23 16:59 作者: Petechiae 時(shí)間: 2025-3-23 19:00 作者: 受人支配 時(shí)間: 2025-3-23 22:52 作者: Paradox 時(shí)間: 2025-3-24 04:45 作者: 使長胖 時(shí)間: 2025-3-24 10:30
Natural Language Processing in Biomedicine: A Unified System Architecture Overview,ovided in structured data fields but rather are encoded in clinician-generated narrative text. Natural language processing (NLP) provides a means of unlocking this important data source for applications in clinical decision support, quality assurance, and public health. This chapter provides an over作者: Antimicrobial 時(shí)間: 2025-3-24 13:13 作者: Bureaucracy 時(shí)間: 2025-3-24 17:58 作者: consent 時(shí)間: 2025-3-24 22:21 作者: Projection 時(shí)間: 2025-3-24 23:58
Methods in Molecular Biologyhttp://image.papertrans.cn/c/image/227824.jpg作者: voluble 時(shí)間: 2025-3-25 06:22
https://doi.org/10.1007/978-1-4939-0847-9DNA sequencing; analytes; bioinformatics; gene discovery; gene function作者: 省略 時(shí)間: 2025-3-25 09:09 作者: 分離 時(shí)間: 2025-3-25 14:12
Clinical Bioinformatics978-1-4939-0847-9Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: scrape 時(shí)間: 2025-3-25 19:28
Differential Kinematics and Statics,s of bioinformatics procedures and ideally the availability of a suitable reference genome sequence and its associated resources. We visit common practices for discovering the biology underlying observed traits in mammals.作者: 表臉 時(shí)間: 2025-3-25 22:23 作者: Induction 時(shí)間: 2025-3-26 00:08
https://doi.org/10.1007/978-1-84628-642-1dictable. At the same time, the bewildering amount of information produced during these analyses needs to be carefully managed, used and interpreted correctly. The challenge for clinical laboratories now is to implement production analytical processes that are capable of handling different experimen作者: 使厭惡 時(shí)間: 2025-3-26 07:59 作者: Mundane 時(shí)間: 2025-3-26 11:43
Differential Kinematics and Statics,well (Subheading 3.1), paying particular attention to case and control selection and achieving adequate sample size to deal with the large burden of multiple testing. Second, we focus on the crucial step of applying stringent quality control (Subheading 3.2) to genotyping results. The most crucial p作者: Cognizance 時(shí)間: 2025-3-26 13:41
Differential Kinematics and Statics,netic architecture of diseases and open up new opportunities for treatment and prevention. However, despite its successes, GWAS have not been able to identify genetic loci that are effective classifiers of disease, limiting their value for genetic testing. This chapter highlights the challenges that作者: Irksome 時(shí)間: 2025-3-26 17:27
Differential Kinematics and Statics,o distinguish them from inherited germline mutations, can include single-nucleotide substitutions, insertions, deletions, copy number alterations, and structural rearrangements. A patient’s cancer can contain a combination of these aberrations, and the ability to generate a comprehensive genetic pro作者: Condescending 時(shí)間: 2025-3-26 22:48 作者: 殘暴 時(shí)間: 2025-3-27 04:41
https://doi.org/10.1007/978-1-84628-642-1ary application of CMAs has been the genome-wide detection of a particular class of mutation known as copy number variants (CNVs). Since 2010, CMA testing has been recommended as a first-tier test for detection of CNVs associated with intellectual disability, autism spectrum disorders, and/or multip作者: 畏縮 時(shí)間: 2025-3-27 09:07 作者: 頑固 時(shí)間: 2025-3-27 11:24
https://doi.org/10.1007/978-3-662-48134-9ally and economically feasible. The DNA sequencing of pathogens with epidemic potential offers new and exciting opportunities for high-resolution public health surveillance. This chapter outlines major methods and bioinformatics tools for pathogen genome characterization, the identification of infec作者: evasive 時(shí)間: 2025-3-27 14:39
Trajectory Planning for UGV Using Clothoids,iderable demand to apply these technologies for clinical diagnosis. The translation of research-to-clinical practice brings with it a unique set of challenges, particularly when it comes to setting up NGS in the medical laboratory. The practical issues related to infrastructure, selecting which NGS 作者: 說笑 時(shí)間: 2025-3-27 21:16
Trajectory Planning for UGV Using Clothoids,ojects being considered will intentionally process a large amount of common and rare DNA variation for the purpose of finding specific links between genotype and phenotype. However, the risks of uncovering a clinically relevant . are not uniform across projects but are highly dependent on the questi作者: facetious 時(shí)間: 2025-3-27 22:20
Matja? Mihelj,Tadej Bajd,Sebastjan ?lajpah diagnostic classification to identification of therapeutic options, prediction of drug response and toxicity, and carrier testing. Although the advent of massively parallel sequencing technologies has increased the complexity of clinical interpretation of sequence variants by an order of magnitude,作者: pester 時(shí)間: 2025-3-28 04:12 作者: 外表讀作 時(shí)間: 2025-3-28 08:58
What to Know Before You Start?,atabases (GDSDBs), but the term . will be used for simplicity. We restrict this overview to germ-line variants, particularly as related to Mendelian diseases, which are diseases caused by a variant in a single gene. Common difficulties associated with variant databases and some proposed solutions ar作者: Benign 時(shí)間: 2025-3-28 12:40 作者: Fecal-Impaction 時(shí)間: 2025-3-28 15:01
https://doi.org/10.1007/978-3-319-60916-4unknown. High-throughput techniques are frequently applied to detect disease candidate genes. The speed and affordability of sequencing following recent technological advances while advantageous are accompanied by the problem of data deluge. Furthermore, experimental validation of disease candidate 作者: 難取悅 時(shí)間: 2025-3-28 20:56
Nicolas Perrin,Darwin Lau,Vincent Padoisen developed to analyze protein structure and function, to identify interacting ligands, active site residues, and to study protein–ligand interactions, which can eventually lead to the identification of new drugs. In silico drug designing involves identification of the target protein which is respo作者: 侵略者 時(shí)間: 2025-3-28 23:07
From the Phenotype to the Genotype via Bioinformatics,s of bioinformatics procedures and ideally the availability of a suitable reference genome sequence and its associated resources. We visit common practices for discovering the biology underlying observed traits in mammals.作者: 歡樂東方 時(shí)間: 2025-3-29 06:54
Chromosome Microarrays in Diagnostic Testing: Interpreting the Genomic Data,high frequency of clinically irrelevant CNVs observed within “patient” and “normal” populations. As might be predicted, the more common and clinically insignificant CNVs tend to be the smaller ones <100 kb in length, involving few or no known genes. However, this relationship is not at all straightf作者: Lamina 時(shí)間: 2025-3-29 09:50
Managing Incidental Findings in Exome Sequencing for Research, whether the causative DNA variation is likely to be rare or common. Importantly, differing bioinformatics DNA variant filtering strategies strongly influence the odds of discovering an incidental finding. This chapter provides a framework for understanding and assessing the likelihood of discoverin作者: HATCH 時(shí)間: 2025-3-29 15:27 作者: 兵團(tuán) 時(shí)間: 2025-3-29 18:30
Candidate Gene Discovery and Prioritization in Rare Diseases,eir utility in rare disease research, a Web-based computational suite of tools that use integrated heterogeneous data sources for ranking disease candidate genes is used to demonstrate how to run typical queries using this system.作者: Repetitions 時(shí)間: 2025-3-29 21:14
1064-3745 thoritative and easily accessible, .Clinical Bioinformatics, Second Edition. serves as an ideal guide for scientists and health professionals working in genetics and genomics..978-1-4939-4700-3978-1-4939-0847-9Series ISSN 1064-3745 Series E-ISSN 1940-6029 作者: Headstrong 時(shí)間: 2025-3-30 03:49
https://doi.org/10.1007/978-1-84628-642-1high frequency of clinically irrelevant CNVs observed within “patient” and “normal” populations. As might be predicted, the more common and clinically insignificant CNVs tend to be the smaller ones <100 kb in length, involving few or no known genes. However, this relationship is not at all straightf作者: interlude 時(shí)間: 2025-3-30 06:23
Trajectory Planning for UGV Using Clothoids, whether the causative DNA variation is likely to be rare or common. Importantly, differing bioinformatics DNA variant filtering strategies strongly influence the odds of discovering an incidental finding. This chapter provides a framework for understanding and assessing the likelihood of discoverin作者: antedate 時(shí)間: 2025-3-30 11:58 作者: creditor 時(shí)間: 2025-3-30 13:24
https://doi.org/10.1007/978-3-319-60916-4eir utility in rare disease research, a Web-based computational suite of tools that use integrated heterogeneous data sources for ranking disease candidate genes is used to demonstrate how to run typical queries using this system.作者: POINT 時(shí)間: 2025-3-30 19:17
Book 2014Latest edition and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls..Authoritative and easily accessible, .Clinical Bioinformatics, Second Edition. serves as an ideal guide for scientists and health professionals working in genetics and genomics..作者: 時(shí)代 時(shí)間: 2025-3-30 23:18 作者: 難解 時(shí)間: 2025-3-31 04:39
Differential Kinematics and Statics,s (Subheading 3.4). More comprehensive coverage of the genome can be achieved by using an external reference panel to estimate genotypes at untyped variants using imputation (Subheading 3.5), which we consider in some detail. We finish with some observations on following up a GWAS (Subheading 3.6).作者: 一回合 時(shí)間: 2025-3-31 08:15
Differential Kinematics and Statics,ing the bias introduced into a dataset, and how to utilize new resources available, such as electronic medical records. We also look to what lies ahead for the field, and the approaches that can be taken to realize the full potential of GWAS.作者: folliculitis 時(shí)間: 2025-3-31 10:21
Differential Kinematics and Statics,o a clinical setting. However, the detection of mutations in sequencing data is still an evolving area and cancer genomic data requires some special considerations. This chapter discusses these aspects and gives an overview of current bioinformatics methods for the detection of somatic mutations in cancer sequencing data.作者: micronized 時(shí)間: 2025-3-31 14:38
https://doi.org/10.1007/978-3-662-48134-9hogenesis. In addition, this analysis serves as a tool to identify potential biomarkers implicated in these disorders. In this chapter, we summarize the different tools and algorithms used in pathway analysis along with their applications to the different layers of molecular investigations, from genomics to proteomics.作者: 解開 時(shí)間: 2025-3-31 19:15 作者: 刀鋒 時(shí)間: 2025-4-1 00:58
Diego Galvez-Aranda,Mauricio Galvez Leguae review briefly. Additionally, the challenge facing current research efforts in biomedical NLP includes the paucity of large, publicly available annotated corpora, although initiatives that facilitate data sharing, system evaluation, and collaborative work between researchers in clinical NLP are starting to emerge.作者: radiograph 時(shí)間: 2025-4-1 03:15
Nicolas Perrin,Darwin Lau,Vincent Padois which has overall minimum energy needs to be obtained. In silico methods can be used to identify potential drugs for various diseases. Thus, computer-aided drug designing has become an indispensible and integral part of the drug discovery process.作者: interrogate 時(shí)間: 2025-4-1 07:30 作者: Celiac-Plexus 時(shí)間: 2025-4-1 11:45 作者: Flat-Feet 時(shí)間: 2025-4-1 17:22 作者: 不透明性 時(shí)間: 2025-4-1 22:30
Studying Cancer Genomics Through Next-Generation DNA Sequencing and Bioinformatics,o a clinical setting. However, the detection of mutations in sequencing data is still an evolving area and cancer genomic data requires some special considerations. This chapter discusses these aspects and gives an overview of current bioinformatics methods for the detection of somatic mutations in cancer sequencing data.
