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Bioinformatics

Known as: Free open source bioinformatics projects, Bio informatics, Bioinformatist 
Bioinformatics /ˌbaɪ.oʊˌɪnfərˈmætɪks/ is an interdisciplinary field that develops methods and software tools for understanding biological data. As an… Expand
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Basel Computational Biology ConferenceBeacon DesignerBelgrade IT sectorBioinformatics Resource Centers
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of… Expand
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Review
2017
Review
2017
Grey wolf optimizer: a review of recent variants and applications
Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide… Expand
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Review
2017
Review
2017
Recent advances in feature selection and its applications
Feature selection is one of the key problems for machine learning and data mining. In this review paper, a brief historical… Expand
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Review
2017
Review
2017
A survey of itemset mining
Itemset mining is an important subfield of data mining, which consists of discovering interesting and useful patterns in… Expand
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Highly Cited
2008
Highly Cited
2008
CloudBLAST: Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications
This paper proposes and evaluates an approach to the parallelization, deployment and management of bioinformatics applications… Expand
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Highly Cited
2005
Highly Cited
2005
BioBench: A Benchmark Suite of Bioinformatics Applications
Recent advances in bioinformatics and the significant increase in computational power available to researchers have made it… Expand
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Highly Cited
2004
Highly Cited
2004
Bioinformatics—an introduction for computer scientists
The article aims to introduce computer scientists to the new field of bioinformatics. This area has arisen from the needs of… Expand
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Highly Cited
2002
Highly Cited
2002
Bioinformatics: the machine learning approach
In this book Pierre Baldi and Soren Brunak present the key machine learning approaches and apply them to the computational… Expand
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Highly Cited
2002
Highly Cited
2002
Introduction to bioinformatics
This textbook is a solid introduction to the science of Bioinformatics, an integration of computing skills and biological methods… Expand
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Highly Cited
1998
Highly Cited
1998
Bioinformatics - a practical guide to the analysis of genes and proteins
Foreword (Lee Hood). Preface. Contributors. PART ONE: BIOLOGICAL DATABASES. 1. Sequence Databases (Rolf Apweiler). 2. Mapping… Expand
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