Top Research Papers on Bioinformatics

This journey provided an opportunity to debate on cry toxins, lipase, ibuprofen, HLA alleles, antigens, peptide vaccines, protein-protein interactions, genomes and biological knowledge discovery models.

An introduction to major bioinformatics resources of databases and tools developed at KOBIC, classified into three main fields: genome, proteome, and literature.

An organized functional scheme of animal was composed and it has been used to show that the essence of the living being is the three-level informational flows for coding-decoding and control, implemented by genetic, hormonal and neural subsystems.

This review provides an overview of the concepts of quantum biology and quantum mechanics and their intersection in quantum bioinformatics and proposes a classification of quantum bioinformatics to promote interdisciplinary collaboration and accelerate progress.

Summary Over the last decade, the areas of bioinformatics and genomics have identified, catalogued and characterised, at the molecular level, the components that make up the complex system of a cell. The next step is to describe how the many components interact to create the complex behaviour that underlies development and disease. The following article is to describe some of the research areas and challenges involved.

Having recently attended two very informative, empowering workshops on bioinformatics and translational bioinformatics with Diane C. Rein, PhD, MLS, Bioinformatics and Molecular Biology Liaison, Health Sciences Library, University of Buffalo, the top takeaways for success in handling these kinds of information requests are shared.

A new method for the identification of leucine-rich repeats by incorporating protein secondary structure prediction and application of next-generation DNA sequencing in medical discovery is proposed.

Clinicians at the point of care need to understand and integrate entities such as genotype/phenotype correlations, biomarker discovery, and pharmacogenomics; while researchers require accurate, structured, and (ideally) coded clinical data, as well as biological reference data sets.

The goal of this review is to introduce some of the important concepts in bioinformatics that must be considered when planning and executing a modern biological research study.

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Assessment of medical technology in the context of commercialization in the context of commercialization and many issues unique to biomedical products.

This chapter presents bioinformatics first from the perspective of computer science and information technology, then from the perspectives of bioscience.

The machine learning field continues to develop new applications for predicting outcomes and explaining phenomena in the domain of biology and medicine, but NNs offer limited help in explaining the features and their values for the models they produce.

Two books devoted to the state of the art in bioinformatics are covered: a one-volume work, Current Topics in Computation Molecular Biology, and a two- volume work, Bio informatics, both of which are organized collections of articles by experts in the subfields of this discipline.

A novel statistical test of whether two samples are from the same distribution, compatible with both multivariate and structured data, that is fast, easy to implement, and works well, as shown by the experiments.

ConGAS, a Bayesian probabilistic method to phase bulk DNA and single-cell RNA measurements from independent assays, is introduced and it is found that it can determine the tumour subclonal composition at the single- cell level together with clone-specific RNA phenotypes in tumour data generated from both 10x and Smart-Seq assays.

OBJECTIVES: The NRSP-8 project was renewed as of 10/01/18, with the following objectives: 1. Advance the quality of reference genomes for all agri-animal species by providing high contiguity assemblies, deep functional annotations of these assemblies, and comparison across species to understand structure and function of animal genomes; 2. Advance genome-tophenome prediction by implementing strategies and tools to identify and validate genes and allelic variants predictive of biologically and economically important phenotypes and traits; and 3. Advance analysis, curation, storage, application, ...

The means to facilitate automatic access to the scientific discourse of articles by automating the recognition of 11 categories at the sentence level, which are called Core Scientiﷁc Concepts (CoreSCs), can be presented.

It is argued that the so-called Hilbert curve visualization can complement genome browsers and help to get further insights into the structure of one’s data.

This research presents the method for identifying gateway nodes in three datasets using a high performance computing environment: quiescence in Saccharomyces cerevisiae, brain aging in Mus Musculus, and the effects of creatine on Aging in Mus musculus and finds that the parallel method improves runtime and performs equally as well as sequential approach.

How the bioinformatics services are crucial to growth and success of genomic medicine research in Taiwan is explained.

Information and resources on bioinformatics and statistics for the UCSF research community are provided.

An empirical guideline to introduce programming languages and recommend Python as first language for graduate programs in which students were from genetics and molecular biology backgrounds is reported and should be extended for other research programs.

It is argued that large-scale engineering principles can be successfully adapted from disciplines such as software engineering and data management, and that having an in-the-large perspective will be a key advantage in the next phase of bioinformatics development.

This chapter discusses the role of bioinformatics in genetics research in the post-genome era, and a stepwise approach to locus refinement and candidate gene identification.

This paper compiles a list of numerous bioinformatic terms for the Applications of Bioinformatics in Cancer Detection conference to be helpful as a lexicon for the volume as a whole.

An OpenLab learning course was used to reflect the students` and undergrads` impression of bioinformatics and found the increase of knowledge is significantly higher when doing additional data analysis and computer work than working only in the wet lab.

1= National Research Council of Canada, Institute for Marine Biosciences, 1411 Oxford Street, Halifax, NS, Canada, B3H 3Z1 2= National Research Council of Canada, Biotechnology Research Institute, 6100 Royalmount Avenue, Montreal, Quebec, Canada, H4P 2R2 3= National Research Council of Canada, Canada Institute for Scientific and Technical Information, M-55 Montreal Road, Ottawa, Ontario, Canada, K1A 0S2 4= National Research Council of Canada, Plant Biotechnology Institute, 110 Gymnasium Road, Saskatoon, Saskatchewan, Canada, S7N 0W9 5= Present address: Roger Foxall & Associates, 13880 18A Aven...

Although a thoughtful discussion of the relevant literature and techniques is found in each chapter, the book is not overly technical and does not present advanced mathematical, statistical, or genetic concepts in great depth.

In being the Founding Dean of a new School of Data Science, what the authors do suddenly looks different, and a computational biologist with 40 years of research experience says bioinformatics is dead.

This chapter intends to provide an overview of the basic methods and bioinformatics resources available for the analysis of nucleic acids and protein sequences, and is primarily addressed to occasional users.

During 2012, next generation sequencing (NGS) has attracted great attention in the biomedical research community, especially for personalized medicine, and third generation sequencing has become available.

The rapid accumulation of biological data, its various organizational structures, and the role that ontologies play in interoperability are described.

The results suggest that oxidative stress plays an important role in epithelial cells with BRCA1 mutations that may contribute to the later development of breast cancer.

An introduction to bioinformatics is presented, which encompasses analysis and interpretation of data, modeling of biological phenomena, and development of algorithms and statistics.

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EL Vira creates a common layer of ontological interoperability that enables the creation of software solutions that can employ biomedical ontologies to perform inferences and answer complex queries to support scientific analyses.

A fast method is developed which improves the speed of interaction test by around 10 times for any size of datasets, keeping highly interacting genes with an accuracy of 85% and shows some datasets with significantly small P -values, strongly supporting the reliability of the detected three-way interactions.

The problem is finding the right information in the digital ocean of knowledge, which is pretty bigger endeavor than finding the needle in the haystack.

This book consists of chapters summarizing the fundamental concepts of bioinformatics, based on the topics presented at a course held in Dubrovnik, Croatia, in 2003.

Current bioinformatics work on gene expression data address mechanisms underlying successful responses to drought stress in plants, which naturally leads to problems involving biological networks.

This book introduces the key concepts and applications of ontologies and ontology languages in bioinformatics and will be an essential guide for bioinformaticists, computer scientists, and life science researchers.

Bioinformatics: a primer, Bio informatics : a primer , کتابخانه مرکزی دانشگاه علوم پزδکی اتهران.

This review gives an overview of the carbohydrate-oriented resources currently available on the Internet, containing information on primary structures and analytic data of carbohydrate, conformation of carbohydrates, enzymes, lectins, glycoproteins.

Motivation: Next-generation sequencing captures sequence differences in reads relative to a reference genome or transcriptome, including splicing events and complex variants involving multiple mismatches and long indels. We present computational methods for fast detection of complex variants and splicing in short reads, based on a successively constrained search process of merging and filtering position lists from a genomic index. Our methods are implemented in GSNAP (Genomic Short-read Nucleotide Alignment Program), which can align both single-and paired-end reads as short as 14nt and of arbit...

The extensive pre-processing and fast OpenGL interface of SAMSCOPE provides instantaneous and intuitive browsing of complex data at all levels of detail across multiple experiments.

This issue brings six outstanding reviews that collectively demonstrate the broad outreach of bioinformatics, and a meta-analysis of abstracts published in MEDLINE and abstracts of NIH-funded project grants to determine the growth and spread of computational approaches across the various subfields of biomedicine during the past 30 years.

An algorithm is presented, ArchTEx (Architectural Tag Extender), which identifies the optimal extension of sequence tags based on the maximum correlation between forward and reverse tags and extracts and visualizes sites of interest using the predicted extension.

The article gives a 10,000 foot perspective of the essential ideas in atomic cell science diagrams the way of the current information, tranquilize revelation representation and portrays the sort of PC calculations and systems that are important to comprehend cell conduct.

An alternative computational approach for ssTEM image analysis using biologically inspired receptive receptive tissue as a basis for a ridge detection algorithm to identify cell membranes, synaptic contacts and mitochondria and joined small segments of membrane into cell surfaces using a dynamic programming algorithm similar to the Needleman–Wunsch and Smith–Waterman DNA sequence alignment procedures.