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978-3-540-78839-3 |
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DE-He213 |
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20220223085616.0 |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540788393
|9 978-3-540-78839-3
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|a 10.1007/978-3-540-78839-3
|2 doi
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|a Research in Computational Molecular Biology
|h [electronic resource] :
|b 12th Annual International Conference, RECOMB 2008, Singapore, March 30 - April 2, 2008, Proceedings /
|c edited by Martin Vingron, Limsoon Wong.
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| 250 |
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|a 1st ed. 2008.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XVI, 480 p.
|b online resource.
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|a text
|b txt
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Bioinformatics,
|x 2366-6331 ;
|v 4955
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| 505 |
0 |
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|a Computational Biology: Its Challenges Past, Present, and Future -- Bootstrapping the Interactome: Unsupervised Identification of Protein Complexes in Yeast -- CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads -- Reconstructing the Evolutionary History of Complex Human Gene Clusters -- Ab Initio Whole Genome Shotgun Assembly with Mated Short Reads -- Orchestration of DNA Methylation -- BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes -- A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors -- A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery -- The Statistical Power of Phylogenetic Motif Models -- Transcriptional Regulation and Cancer Genomics -- Automatic Recognition of Cells (ARC) for 3D Images of C. elegans -- Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing -- A Fragmentation Event Model for Peptide Identification by Mass Spectrometry -- A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics -- De Novo Sequencing of Nonribosomal Peptides -- Systems Metabolic Engineering -- Protein Function Prediction Based on Patterns in Biological Networks -- Automatic Parameter Learning for Multiple Network Alignment -- An Integrative Network Approach to Map the Transcriptome to the Phenome -- Fast and Accurate Alignment of Multiple Protein Networks -- High-Resolution Modeling of Cellular Signaling Networks -- At the Origin of Life: How Did Folded Proteins Evolve? -- Locating Multiple Gene Duplications through Reconciled Trees -- Rapid and Accurate Protein Side Chain Prediction with Local Backbone Information -- Algorithms for Joint Optimization of Stability and Diversity in Planning Combinatorial Libraries of Chimeric Proteins -- DLIGHT - Lateral Gene Transfer Detection Using Pairwise Evolutionary Distances in a Statistical Framework -- Computation of Median Gene Clusters -- BCL-2: From Translocation to Therapy -- Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles -- Constructing Treatment Portfolios Using Affinity Propagation -- Bubbles: Alternative Splicing Events of Arbitrary Dimension in Splicing Graphs -- More Efficient Algorithms for Closest String and Substring Problems -- Disruption of a Transcriptional Regulatory Pathway Contributes to Phenotypes in Carriers of Ataxia Telangiectasia -- Accounting for Non-genetic Factors Improves the Power of eQTL Studies -- Effects of Genetic Divergence in Identifying Ancestral Origin Using HAPAA -- On the Inference of Ancestries in Admixed Populations -- Increasing Power in Association Studies by Using Linkage Disequilibrium Structure and Molecular Function as Prior Information -- Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information -- Constructing Level-2 Phylogenetic Networks from Triplets -- Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony.
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| 650 |
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|a Algorithms.
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| 650 |
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|a Artificial intelligence-Data processing.
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| 650 |
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|a Computer science-Mathematics.
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| 650 |
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|a Discrete mathematics.
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| 650 |
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|a Database management.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Bioinformatics.
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| 650 |
1 |
4 |
|a Algorithms.
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| 650 |
2 |
4 |
|a Data Science.
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| 650 |
2 |
4 |
|a Discrete Mathematics in Computer Science.
|
| 650 |
2 |
4 |
|a Database Management.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Computational and Systems Biology.
|
| 700 |
1 |
|
|a Vingron, Martin.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Wong, Limsoon.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
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8 |
|i Printed edition:
|z 9783540849551
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540788386
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| 830 |
|
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|a Lecture Notes in Bioinformatics,
|x 2366-6331 ;
|v 4955
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| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-78839-3
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
