Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Proceedings Of The 2007 International Conference On Bioinformatics Computational Biology Biocomp 2007 PDF full book. Access full book title Proceedings Of The 2007 International Conference On Bioinformatics Computational Biology Biocomp 2007.
| Author | : Hamid R. Arabnia |
| Publisher | : |
| Total Pages | : 470 |
| Release | : 2011 |
| Genre | : |
| ISBN | : |
| Author | : Russ B Altman |
| Publisher | : World Scientific |
| Total Pages | : 525 |
| Release | : 2006-12-11 |
| Genre | : Science |
| ISBN | : 9814476358 |
The Pacific Symposium on Biocomputing (PSB) 2007 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2007 will be held January 3-7, 2007 at the Grand Wailea, Maui. Tutorials will be offered prior to the start of the conference.PSB 2007 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's “hot topics.” In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
| Author | : Peter Markstein |
| Publisher | : World Scientific |
| Total Pages | : 472 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 1860948731 |
This volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. Abstracts from the keynote addresses and invited talks are also included. The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field. Sample Chapter(s). Chapter 1: Whole-Genome Analysis of Dorsal Gradient Thresholds in the Drosophila Embryo (102 KB). Contents: Learning Predictive Models of Gene Regulation (C Leslie); Algorithms for Selecting Breakpoint Locations to Optimize Diversity in Protein Engineering by Site-Directed Protein Recombination (W Zheng et al.); Cancer Molecular Pattern Discovery by Subspace Consensus Kernel Classification (X Han); Transcriptional Profiling of Definitive Endoderm Derived from Human Embryonic Stem Cells (H Liu et al.); A Markov Model Based Analysis of Stochastic Biochemical Systems (P Ghosh et al.); Clustering of Main Orthologs for Multiple Genomes (Z Fu & T Jiang); Extraction, Quantification and Visualization of Protein Pockets (X Zhang & C Bajaj); Consensus Contact Prediction by Linear Programming (X Gao et al.); An Active Visual Search Interface for Medline (W Xuan et al.); Exact and Heuristic Algorithms for Weighted Cluster Editing (S Rahmann et al.); Reconcilation with Non-binary Species Trees (B Vernot et al.); and other papers. Readership: Research and application community in bioinformatics, systems biology, medicine, pharmacology and biotechnology. Graduate researchers in bioinformatics and computational biology.
| Author | : Sanguthevar Rajasekaran |
| Publisher | : Springer |
| Total Pages | : 463 |
| Release | : 2009-04-22 |
| Genre | : Science |
| ISBN | : 3642007279 |
This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.
| Author | : David Sankoff |
| Publisher | : Imperial College Press |
| Total Pages | : 391 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 1860947999 |
High-throughput sequencing and functional genomics technologies have given us the human genome sequence as well as those of other experimentally, medically, and agriculturally important species, and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large numbers of sequences, polymorphisms, structures, and gene expression profiles of normal and diseased tissues are being rapidly generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences; the understanding of the interplay among and between genes and proteins; the analysis of genetic variability of species; the identification of pharmacological targets; and the inference of evolutionary origins, mechanisms, and relationships. This proceedings volume contains an up-to-date exchange of knowledge, ideas, and solutions to conceptual and practical issues of bioinformatics by researchers, professionals, and industrial practitioners at the 5th Asia-Pacific Bioinformatics Conference held in Hong Kong in January 2007.
| Author | : Sepp Hochreiter |
| Publisher | : Springer |
| Total Pages | : 497 |
| Release | : 2007-05-21 |
| Genre | : Science |
| ISBN | : 354071233X |
This book constitutes the refereed proceedings of the First International Bioinformatics Research and Development Conference, BIRD 2007, held in Berlin, Germany in March 2007. The 36 revised full papers are organized in topical sections on microarray and systems biology and networks, medical, SNPs, genomics, systems biology, sequence analysis and coding, proteomics and structure, databases, Web and text analysis.
| Author | : IEEE International Conference on Bioinformatics and Biomedicine |
| Publisher | : |
| Total Pages | : 204 |
| Release | : 2007 |
| Genre | : Bioinformatics |
| ISBN | : 9781509088058 |
| Author | : Hamid R. Arabnia |
| Publisher | : 2017 Worldcomp International C |
| Total Pages | : 200 |
| Release | : 2018-02 |
| Genre | : Computers |
| ISBN | : 9781601324504 |
This volume contains the proceedings of the 2017 International Conference on Bioinformatics and Computational Biology (BIOCOMP'17).
| Author | : Yanqing Zhang |
| Publisher | : John Wiley & Sons |
| Total Pages | : 476 |
| Release | : 2009-02-23 |
| Genre | : Computers |
| ISBN | : 0470397411 |
An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. From an internationally recognized panel of prominent researchers in the field, Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics. Coverage includes: feature selection for genomic and proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence-based prediction of residue-level properties in proteins; probabilistic methods for long-range features in biosequences; and much more. Machine Learning in Bioinformatics is an indispensable resource for computer scientists, engineers, biologists, mathematicians, researchers, clinicians, physicians, and medical informaticists. It is also a valuable reference text for computer science, engineering, and biology courses at the upper undergraduate and graduate levels.
| Author | : Marie-France Sagot |
| Publisher | : Springer |
| Total Pages | : 186 |
| Release | : 2007-08-14 |
| Genre | : Science |
| ISBN | : 3540737316 |
This book constitutes the refereed proceedings of the Second Brazilian Symposium on Bioinformatics, BSB 2007, held in Angra dos Reis, Brazil, in August 2007, co-located with IWGD 2007, the International Workshop on Genomic Databases. The papers address a broad range of current topics in computational biology and bioinformatics.
