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https://www.readbyqxmd.com/read/28984207/the-international-conference-on-intelligent-biology-and-medicine-icibm-2016-summary-and-innovation-in-genomics
#1
EDITORIAL
Zhongming Zhao, Zhandong Liu, Ken Chen, Yan Guo, Genevera I Allen, Jiajie Zhang, W Jim Zheng, Jianhua Ruan
In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8-10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. ICIBM 2016 included four workshops or tutorials, four keynote lectures, four conference invited talks, eight concurrent scientific sessions and a poster session for 53 accepted abstracts, covering current topics in bioinformatics, systems biology, intelligent computing, and biomedical informatics...
October 3, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28984189/the-international-conference-on-intelligent-biology-and-medicine-icibm-2016-from-big-data-to-big-analytical-tools
#2
EDITORIAL
Zhandong Liu, W Jim Zheng, Genevera I Allen, Yin Liu, Jianhua Ruan, Zhongming Zhao
The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8-10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, one poster session, four highlighted talks and four keynotes that covered topics on 3D genomics structural analysis, next generation sequencing (NGS) analysis, computational drug discovery, medical informatics, cancer genomics, and systems biology. Here, we present a summary of the nine research articles selected from ICIBM 2016 program for publishing in BMC Bioinformatics...
October 3, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28978020/mitochondrial-biomarkers-predict-tumor-progression-and-poor-overall-survival-in-gastric-cancers-companion-diagnostics-for-personalized-medicine
#3
Federica Sotgia, Michael P Lisanti
Here, we employed a bioinformatics approach to identify novel molecular determinants to predict tumor progression and overall survival in gastric cancer patients. In particular, we directly assessed whether nuclear-derived mRNA species encoding proteins involved in mitochondrial protein translation and OXPHOS are able to successfully predict clinical outcome in gastric cancer. As such, using in silico validation, we have now established the prognostic value of these mitochondrial biomarkers, in a defined population of gastric cancer patients...
September 15, 2017: Oncotarget
https://www.readbyqxmd.com/read/28968749/omics-analysis-system-for-precision-oncology-oasispro-a-web-based-omics-analysis-tool-for-clinical-phenotype-prediction
#4
Kun-Hsing Yu, Michael R Fitzpatrick, Luke Pappas, Warren Chan, Jessica Kung, Michael Snyder
Summary: Precision oncology is an approach that accounts for individual differences to guide cancer management. Omics signatures have been shown to predict clinical traits for cancer patients. However, the vast amount of omics information poses an informatics challenge in systematically identifying patterns associated with health outcomes, and no general-purpose data-mining tool exists for physicians, medical researchers, and citizen scientists without significant training in programming and bioinformatics...
September 12, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28930581/biophysical-mechanisms-complementing-classical-cell-biology
#5
Richard H W Funk
This overview addresses phenomena in cell- and molecular biology which are puzzling by their fast and highly coordinated way of organization. Generally, it appears that informative processes probably involved are more on the biophysical than on the classical biochemical side. The coordination problem is explained within the first part of the review by the topic of endogenous electrical phenomena. These are found e.g. in fast tissue organization and reorganization processes like development, wound healing and regeneration...
January 1, 2018: Frontiers in Bioscience (Landmark Edition)
https://www.readbyqxmd.com/read/28916932/informatics-for-nutritional-genetics-and-genomics
#6
Yuan Gao, Jiajia Chen
While traditional nutrition science is focusing on nourishing population, modern nutrition is aiming at benefiting individual people. The goal of modern nutritional research is to promote health, prevent diseases, and improve performance. With the development of modern technologies like bioinformatics, metabolomics, and molecular genetics, this goal is becoming more attainable. In this chapter, we will discuss the new concepts and technologies especially in informatics and molecular genetics and genomics, and how they have been implemented to change the nutrition science and lead to the emergence of new branches like nutrigenomics, nutrigenetics, and nutritional metabolomics...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28902453/implementing-a-web-based-introductory-bioinformatics-course-for-non-bioinformaticians-that-incorporates-practical-exercises
#7
Antony T Vincent, Yves Bourbonnais, Jean-Simon Brouard, Hélène Deveau, Arnaud Droit, Stéphane M Gagné, Michel Guertin, Claude Lemieux, Louis Rathier, Steve J Charette, Patrick Lagüe
A recent scientific discipline, bioinformatics, defined as using informatics for the study of biological problems, is now a requirement for the study of biological sciences. Bioinformatics has become such a powerful and popular discipline that several academic institutions have created programs in this field, allowing students to become specialized. However, biology students who are not involved in a bioinformatics program also need a solid toolbox of bioinformatics software and skills. Therefore, we have developed a completely online bioinformatics course for non-bioinformaticians, entitled "BIF-1901 Introduction à la bio-informatique et à ses outils (Introduction to bioinformatics and bioinformatics tools)," given by the Department of Biochemistry, Microbiology, and Bioinformatics of Université Laval (Quebec City, Canada)...
September 13, 2017: Biochemistry and Molecular Biology Education
https://www.readbyqxmd.com/read/28859346/data-science-priorities-for-a-university-hospital-based-institute-of-infectious-diseases-a-viewpoint
#8
Alain-Jacques Valleron
Automation of laboratory tests, bioinformatic analysis of biological sequences, and professional data management are used routinely in a modern university hospital-based infectious diseases institute. This dates back to at least the 1980s. However, the scientific methods of this 21st century are changing with the increased power and speed of computers, with the "big data" revolution having already happened in genomics and environment, and eventually arriving in medical informatics. The research will be increasingly "data driven," and the powerful machine learning methods whose efficiency is demonstrated in daily life will also revolutionize medical research...
August 15, 2017: Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
https://www.readbyqxmd.com/read/28851658/benzodiazepines-use-and-breast-cancer-risk-a-population-based-study-and-gene-expression-profiling-evidence
#9
Usman Iqbal, Tzu-Hao Chang, Phung-Anh Nguyen, Shabbir Syed-Abdul, Hsuan-Chia Yang, Chih-Wei Huang, Suleman Atique, Wei-Chung Yang, Max Moldovan, Wen-Shan Jian, Min-Huei Hsu, Yun Yen, Yu-Chuan Jack Li
The aim of this study was to investigate whether long-term use of Benzodiazepines (BZDs) is associated with breast cancer risk through the combination of population-based observational and gene expression profiling evidence. We conducted a population-based case-control study by using 1998 to 2009year Taiwan National Health Insurance Research Database and investigated the association between BZDs use and breast cancer risk. We selected subjects age of >20years old and six eligible controls matched for age, sex and the index date (i...
October 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28822794/lipidomics-informatics-for-life-science
#10
D Schwudke, A Shevchenko, N Hoffmann, R Ahrends
Lipidomics encompasses analytical approaches that aim to identify and quantify the complete set of lipids, defined as lipidome in a given cell, tissue or organism as well as their interactions with other molecules. The majority of lipidomics workflows is based on mass spectrometry and has been proven as a powerful tool in system biology in concert with other Omics disciplines. Unfortunately, bioinformatics infrastructures for this relatively young discipline are limited only to some specialists. Search engines, quantification algorithms, visualization tools and databases developed by the 'Lipidomics Informatics for Life-Science' (LIFS) partners will be restructured and standardized to provide broad access to these specialized bioinformatics pipelines...
November 10, 2017: Journal of Biotechnology
https://www.readbyqxmd.com/read/28802167/induction-of-senescence-in-cancer-cells-by-5-aza-2-deoxycytidine-bioinformatics-and-experimental-insights-to-its-targets
#11
Jayarani F Putri, Nashi Widodo, Kazuichi Sakamoto, Sunil C Kaul, Renu Wadhwa
5'-Aza-2'-deoxycytidine (5-Aza-dC) is a demethylating drug that causes genome-wide hypomethylation resulting in the expression of several tumor suppressor genes causing growth arrest of cancer cells. Cancer is well established as a multifactorial disease and requires multi-module therapeutics. Search for new drugs and their approval by FDA takes a long time. Keeping this in view, research on new functions of FDA-approved anticancer drugs is desired to expand the list of multi-module functioning drugs for cancer therapy...
August 2, 2017: Computational Biology and Chemistry
https://www.readbyqxmd.com/read/28688561/uncovering-the-pathogenesis-of-microtia-using-bioinformatics-approach
#12
Liu Lei, Liu Zhenzhong, Lin Lin, Pan Bo
OBJECTIVE: Bioinformatics is widely used in the field of cancer research, but in the research of pathogenesis of congenital malformations the situation is different. The aim of this study was to explore the underlying mechanism using bioinformatics approach. METHODS: The data were available from Mouse Genome Informatics and Pubmed. Protein-protein interaction (PPI) network of pathogenic genes was conducted using STRING. Gene ontology and pathway enrichment analyses were also performed to pathogenic genes...
August 2017: International Journal of Pediatric Otorhinolaryngology
https://www.readbyqxmd.com/read/28655203/kronos-a-workflow-assembler-for-genome-analytics-and-informatics
#13
M Jafar Taghiyar, Jamie Rosner, Diljot Grewal, Bruno M Grande, Radhouane Aniba, Jasleen Grewal, Paul C Boutros, Ryan D Morin, Ali Bashashati, Sohrab P Shah
Background: The field of next-generation sequencing informatics has matured to a point where algorithmic advances in sequence alignment and individual feature detection methods have stabilized. Practical and robust implementation of complex analytical workflows (where such tools are structured into "best practices" for automated analysis of next-generation sequencing datasets) still requires significant programming investment and expertise. Results: We present Kronos, a software platform for facilitating the development and execution of modular, auditable, and distributable bioinformatics workflows...
July 1, 2017: GigaScience
https://www.readbyqxmd.com/read/28637687/inhibition-of-cdk4-6-by-palbociclib-significantly-extends-survival-in-medulloblastoma-patient-derived-xenograft-mouse-models
#14
Michelle L Cook Sangar, Laura A Genovesi, Madison W Nakamoto, Melissa J Davis, Sue E Knobluagh, Pengxiang Ji, Amanda Millar, Brandon J Wainwright, James M Olson
Purpose: Bioinformatics analysis followed by in vivo studies in patient-derived xenograft (PDX) models were used to identify and validate CDK 4/6 inhibition as an effective therapeutic strategy for medulloblastoma, particularly group 3 MYC-amplified tumors that have the worst clinical prognosis.Experimental Design: A protein interaction network derived from a Sleeping Beauty mutagenesis model of medulloblastoma was used to identify potential novel therapeutic targets. The top hit from this analysis was validated in vivo using PDX models of medulloblastoma implanted subcutaneously in the flank and orthotopically in the cerebellum of mice...
June 21, 2017: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
https://www.readbyqxmd.com/read/28625502/a-computable-phenotype-improves-cohort-ascertainment-in-a-pediatric-pulmonary-hypertension-registry
#15
Alon Geva, Jessica L Gronsbell, Tianxi Cai, Tianrun Cai, Shawn N Murphy, Jessica C Lyons, Michelle M Heinz, Marc D Natter, Nandan Patibandla, Jonathan Bickel, Mary P Mullen, Kenneth D Mandl
OBJECTIVES: To compare registry and electronic health record (EHR) data mining approaches for cohort ascertainment in patients with pediatric pulmonary hypertension (PH) in an effort to overcome some of the limitations of registry enrollment alone in identifying patients with particular disease phenotypes. STUDY DESIGN: This study was a single-center retrospective analysis of EHR and registry data at Boston Children's Hospital. The local Informatics for Integrating Biology and the Bedside (i2b2) data warehouse was queried for billing codes, prescriptions, and narrative data related to pediatric PH...
September 2017: Journal of Pediatrics
https://www.readbyqxmd.com/read/28609000/the-role-of-informatics-in-patient-centered-care-and-personalized-medicine
#16
Matthew G Hanna, Liron Pantanowitz
The practice of cytopathology has dramatically changed due to advances in genomics and information technology. Cytology laboratories have accordingly become increasingly dependent on pathology informatics support to meet the emerging demands of precision medicine. Pathology informatics deals with information technology in the laboratory, and the impact of this technology on workflow processes and staff who interact with these tools. This article covers the critical role that laboratory information systems, electronic medical records, and digital imaging plays in patient-centered personalized medicine...
June 2017: Cancer
https://www.readbyqxmd.com/read/28586416/bridging-the-gap-between-reproducibility-and-translation-data-resources-and-approaches
#17
Caroline J Zeiss, Linda K Johnson
Animal research has constituted a fundamental means to achieve groundbreaking therapies for human disease. However, for complex diseases, promising preclinical results have failed to translate to the clinic. Reasons for this disparity are multifactorial. These include the challenges inherent in modeling complex disease in animals, as well issues of study design, reproducibility and operational norms within the biomedical research enterprise. In this issue, we explore the range of information resources available for the comparative study of disease, as well as challenges to the ultimate translation of preclinical findings...
July 1, 2017: ILAR Journal
https://www.readbyqxmd.com/read/28557600/integration-of-technical-bioinformatic-and-variant-assessment-approaches-in-the-validation-of-a-targeted-next-generation-sequencing-panel-for-myeloid-malignancies
#18
Mariam Thomas, Mahadeo A Sukhai, Tong Zhang, Roozbeh Dolatshahi, Djamel Harbi, Swati Garg, Maksym Misyura, Trevor Pugh, Tracy L Stockley, Suzanne Kamel-Reid
CONTEXT: - Detection of variants in hematologic malignancies is increasingly important because of a growing number of variants impacting diagnosis, prognosis, and treatment response, and as potential therapeutic targets. The use of next-generation sequencing technologies to detect variants in hematologic malignancies in a clinical diagnostic laboratory setting allows for efficient identification of routinely tested markers in multiple genes simultaneously, as well as the identification of novel and rare variants in other clinically relevant genes...
June 2017: Archives of Pathology & Laboratory Medicine
https://www.readbyqxmd.com/read/28505286/pixie-an-algorithm-for-automated-ion-mobility-arrival-time-extraction-and-collision-cross-section-calculation-using-global-data-association
#19
Jian Ma, Cameron P Casey, Xueyun Zheng, Yehia M Ibrahim, Christopher S Wilkins, Ryan S Renslow, Dennis G Thomas, Samuel H Payne, Matthew E Monroe, Richard D Smith, Justin G Teeguarden, Erin S Baker, Thomas O Metz
Motivation: Drift tube ion mobility spectrometry coupled with mass spectrometry (DTIMS-MS) is increasingly implemented in high throughput omics workflows, and new informatics approaches are necessary for processing the associated data. To automatically extract arrival times for molecules measured by DTIMS at multiple electric fields and compute their associated collisional cross sections (CCS), we created the PNNL Ion Mobility Cross Section Extractor (PIXiE). The primary application presented for this algorithm is the extraction of data that can then be used to create a reference library of experimental CCS values for use in high throughput omics analyses...
September 1, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28504421/bioinformatics-analysis-on-molecular-mechanism-of-green-tea-compound-epigallocatechin-3-gallate-against-ovarian-cancer
#20
S Xinqiang, Z Mu, C Lei, L Y Mun
Epigallocatechin-3-gallate (EGCG) is the most abundant and biologically active catechin in green tea, and it exerts multiple effects in humans through mechanisms that remain to be clarified. The present study used bioinformatics to identify possible mechanisms by which EGCG reduces the risk of ovarian cancer. Possible human protein targets of EGCG were identified in the PubChem database, possible human gene targets were identified in the National Center for Biotechnology Information database, and then both sets of targets were analyzed using Ingenuity Pathway Analysis (IPA)...
July 2017: Clinical and Translational Science
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