Research Topics
| RUSS BIAGIO ALTMANSummaryAffiliation: Stanford University Country: USA Publications
Research Grants
| Collaborators
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Detail Information
Publications
Personal genomic measurements: the opportunity for information integrationR B Altman
Departments of Bioengineering, Genetics, and Medicine, Stanford University, Stanford, California, USA
Clin Pharmacol Ther 93:21-3. 2013..Thus, the integration of population science with individual genomic measurements will enable the practice of personalized medicine...- Translational bioinformatics: linking the molecular world to the clinical worldR B Altman
Department of Bioengineering, Stanford University, Stanford, California, USA
Clin Pharmacol Ther 91:994-1000. 2012..Translational bioinformatics spans these two fields; it involves the development of algorithms to analyze basic molecular and cellular data with an explicit goal of affecting clinical care... 
Integration and publication of heterogeneous text-mined relationships on the Semantic WebAdrien Coulet
LORIA INRIA Nancy Grand Est, Campus Scientifique BP 239 54506 Vandoeuvre lès Nancy Cedex, France
J Biomed Semantics 2:S10. 2011....- Predicting drug side-effects by chemical systems biologyNicholas P Tatonetti
Training Program in Biomedical Informatics, Stanford University, Stanford, CA 94305, USA
Genome Biol 10:238. 2009..New approaches to predicting ligand similarity and protein interactions can explain unexpected observations of drug inefficacy or side-effects... - The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotationShirley Wu
Program in Biomedical Informatics, Stanford University, Stanford, CA, 94305 USA
Genome Biol 9:R8. 2008..We built a library of models that shows good performance compared to other methods. In particular, SeqFEATURE demonstrates significant improvement over other methods when sequence and structural similarity are low... - Prediction of calcium-binding sites by combining loop-modeling with machine learningTianyun Liu
Department of Genetics, Stanford University, Stanford, CA, USA
BMC Struct Biol 9:72. 2009..Methods for recognizing functional sites in these missing loops would be useful for recovering additional functional information... - Identification of recurring protein structure microenvironments and discovery of novel functional sites around CYS residuesShirley Wu
23andMe, 1390 Shorebird Way, Mountain View, CA, USA
BMC Struct Biol 10:4. 2010..Unfortunately, our ability to analyze these proteins is restricted by the limited catalog of known molecular functions and their associated 3D motifs... - The FEATURE framework for protein function annotation: modeling new functions, improving performance, and extending to novel applicationsInbal Halperin
Department of Genetics, 318 Campus Drive, Clark Center S240, Stanford, CA 94305, USA
BMC Genomics 9:S2. 2008.... - MScanner: a classifier for retrieving Medline citationsGraham L Poulter
UCT NBN Node, Department of Molecular and Cell Biology, University of Cape Town, Cape Town, South Africa
BMC Bioinformatics 9:108. 2008.... - M-BISON: microarray-based integration of data sources using networksBernie J Daigle
Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
BMC Bioinformatics 9:214. 2008.... - Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full textYael Garten
Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA
BMC Bioinformatics 10:S6. 2009..Availability of full text articles as input into text mining engines is key, as literature abstracts often do not contain sufficient information to identify these pharmacogenomic associations... - Tools for loading MEDLINE into a local relational databaseDiane E Oliver
Department of Genetics, Stanford University, Stanford, CA, USA
BMC Bioinformatics 5:146. 2004..Given the increasing importance of text analysis in biology and medicine, we believe a local installation of MEDLINE will provide helpful computing infrastructure for researchers... - An integrative method for scoring candidate genes from association studies: application to warfarin dosingNicholas P Tatonetti
Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA, USA
BMC Bioinformatics 11:S9. 2010..We then define a summary score for each gene based on allele frequencies and train linear and logistic regression classifiers to predict drug response phenotypes... - Clustering protein environments for function prediction: finding PROSITE motifs in 3DSungroh Yoon
Computer Systems Laboratory, Stanford University, Stanford, CA 94305, USA
BMC Bioinformatics 8:S10. 2007..Toward that end, we have developed a method for clustering protein microenvironments in order to evaluate the potential for discovering novel sites that have not been previously identified... - Content-based microarray search using differential expression profilesJesse M Engreitz
Department of Bioengineering, Stanford University School of Medicine, CA, USA
BMC Bioinformatics 11:603. 2010.... 
Complexities of managing biomedical informationRuss B Altman
Departments of Genetics and Medicine, Stanford University School of Medicine, Stanford, California 94305-5479, USA
OMICS 7:127-9. 2003- Biomedical informatics training at Stanford in the 21st centuryRuss B Altman
Department of Genetics, Stanford University Medical Center, L 301 Stanford, CA 94305 5120, USA
J Biomed Inform 40:55-8. 2007..The core focus on research training-the development and application of novel informatics methods for biomedical research-keeps the program centered in the midst of this period of growth and diversification... - Genetic nondiscrimination legislation: a critical prerequisite for pharmacogenomics data sharingRuss B Altman
Stanford University, Department of Genetics and Bioengineering, Clark S172, Stanford, CA 94305-5444, USA
Pharmacogenomics 8:519. 2007 - 2010 translational bioinformatics year in reviewRuss B Altman
Department of Bioengineering, Stanford University School of Medicine, Stanford, California 94305 5444, USA
J Am Med Inform Assoc 18:358-66. 2011..At the same time, the infrastructure for the field has burgeoned. While acknowledging that, according to researchers, the members of this field tend to be overly optimistic, the authors predict a bright future... - Commentaries on "Informatics and medicine: from molecules to populations"R B Altman
Stanford University, Chair, Department of Bioengineering, Stanford, CA, USA
Methods Inf Med 47:296-317. 2008..To discuss interdisciplinary research and education in the context of informatics and medicine by commenting on the paper of Kuhn et al. "Informatics and Medicine: From Molecules to Populations"... - Pharmacogenomics: "noninferiority" is sufficient for initial implementationR B Altman
Department of Bioengineering, Stanford University, Stanford, California, USA
Clin Pharmacol Ther 89:348-50. 2011..In many cases, pharmacogenetic tests need only reach reasonable expectations of noninferiority (compared with current prescribing practices) to merit use... - Pharmacogenomics: will the promise be fulfilled?Russ B Altman
Department of Bioengineering, Stanford University, 318 Campus Drive, S172, MC, 5444 Stanford, California 94305 5444, USA
Nat Rev Genet 12:69-73. 2011.... - Direct-to-consumer genetic testing: failure is not an optionR B Altman
Department of Bioengineering, Stanford University, Stanford, California, USA
Clin Pharmacol Ther 86:15-7. 2009..Therefore, the key challenge is to set up social, educational, and technical means to support individuals who have access to their genome... - Genetic sequence data for pharmacogenomicsRuss B Altman
Stanford Medical Informatics, Department of Genetics, 251 Campus Drive MSOB X 215, Stanford, CA 94305 5479, USA
Curr Opin Drug Discov Devel 6:297-303. 2003..These surveys form the basis for determination of population frequencies, genetic linkage studies and association studies relating genotype with drug response phenotypes of interest... - The interactions between clinical informatics and bioinformatics: a case studyR B Altman
Stanford University, Stanford, California 94305 5479, USA
J Am Med Inform Assoc 7:439-43. 2000..The author provides examples of technology transfer between clinical informatics and bioinformatics that illustrate how they complement each other... - Challenges for biomedical informatics and pharmacogenomicsRuss B Altman
Stanford Medical Informatics, Stanford, California 94305 5479, USA
Annu Rev Pharmacol Toxicol 42:113-33. 2002..In this review, we summarize the current uses of informatics within pharmacogenomics and show how the technical challenges that remain for biomedical informatics are typical of those that will be confronted in the postgenomic era... - Improving structure-based function prediction using molecular dynamicsDariya S Glazer
Department of Genetics, Stanford University, Clark Center, Stanford, CA 94305, USA
Structure 17:919-29. 2009..Thus, we show that treating molecules as dynamic entities improves the performance of structure-based function prediction methods... - Extracting and characterizing gene-drug relationships from the literatureJeffrey T Chang
Department of Genetics, Stanford Biomedical Informatics, Stanford, CA 94305-5120, USA
Pharmacogenetics 14:577-86. 2004.... - WebFEATURE: An interactive web tool for identifying and visualizing functional sites on macromolecular structuresMike P Liang
Department of Genetics and Stanford Medical Informatics, 251 Campus Drive, Stanford University, Stanford, CA 94305, USA
Nucleic Acids Res 31:3324-7. 2003..A major application of WebFEATURE is in rapid annotation of function to structures in the context of structural genomics... - Knowledge acquisition, consistency checking and concurrency control for Gene Ontology (GO)Iwei Yeh
Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA
Bioinformatics 19:241-8. 2003..AVAILABILITY: Gene Ontology in Protégé-2000 and the associated code are located at http://smi.stanford.edu/projects/helix/gokbms/. Protégé-2000 is available from http://protege.stanford.edu... - The pharmacogenetics and pharmacogenomics knowledge base: accentuating the knowledgeTina Hernandez-Boussard
Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
Nucleic Acids Res 36:D913-8. 2008..These changes allow us to capture more structured information on phenotypes for better cataloging and comparison of data. PharmGKB is available at www.pharmgkb.org... - Using pre-existing microarray datasets to increase experimental power: application to insulin resistanceBernie J Daigle
Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
PLoS Comput Biol 6:e1000718. 2010..We envision SAGAT as a means to maximize the potential for biological discovery from subtle transcriptional responses, and we provide it as a freely available software package that is immediately applicable to any human microarray study... - Genetics. Genomic research and human subject privacyZhen Lin
Department of Genetics, Stanford University School of Medicine, CA 94305-5120, USA
Science 305:183. 2004 - A personalized and automated dbSNP surveillance systemShuo Liu
Department of Genetics, Stanford Medical Informatics, CA 94305 5479, USA
Proc IEEE Comput Soc Bioinform Conf 2:132-6. 2003..The system uses data warehousing, object model-based data integration, object-oriented programming, and a platform-neutral data access mechanism... - Using surface envelopes for discrimination of molecular modelsJonathan M Dugan
Department of Genetics, Informatics Laboratory, Stanford University, Stanford, California 94305, USA
Protein Sci 13:15-24. 2004..This correlation is stronger for molecular models with greater oblong character (as measured by the ratio of largest to smallest principal component)... - Nonparametric methods for identifying differentially expressed genes in microarray dataOlga G Troyanskaya
Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
Bioinformatics 18:1454-61. 2002..Thus the methods described and evaluated here provide a convenient and robust way to identify differentially expressed genes for further biological and clinical analysis... - Pharmacogenomics and bioinformatics: PharmGKBCaroline F Thorn
Department of Genetics, Stanford University Medical Center, Stanford, CA 94305 5120, USA
Pharmacogenomics 11:501-5. 2010.... - GAPSCORE: finding gene and protein names one word at a timeJeffrey T Chang
Department of Genetics, Stanford Medical Center, 300 Pasteur Drive, Lane L 301, Mail Code 5120, Stanford, CA 94305-5120, USA
Bioinformatics 20:216-25. 2004..7% precision) for exact matches. Since the method is statistical, users can choose score cutoffs that adjust the performance according to their needs. AVAILABILITY: GAPSCORE is available at http://bionlp.stanford.edu/gapscore/.. - Efficient algorithms to explore conformation spaces of flexible protein loopsPeggy Yao
Computer Science Department, Stanford University, S240 Clark Center, 318 Campus Drive, Stanford, CA 94305, USA
IEEE/ACM Trans Comput Biol Bioinform 5:534-45. 2008..The sampling algorithms are implemented in a toolkit (LoopTK), which is available at https://simtk.org/home/looptk... - A functional analysis of disease-associated mutations in the androgen receptor geneSean D Mooney
Stanford Medical Informatics, Department of Genetics, Stanford University, MSOB X 215, 251 Campus Drive, Stanford, CA 94305 5479, USA
Nucleic Acids Res 31:e42. 2003..Our method provides a means for assessing the significance of single nucleotide polymorphisms (SNPs) and cancer-associated mutations... - Modelling biological processes using workflow and Petri Net modelsMor Peleg
Stanford Medical Informatics, Stanford University, CA 94305, USA
Bioinformatics 18:825-37. 2002..To represent high-level processes in the context of their component functions, we have developed a graphical knowledge model for biological processes that supports methods for qualitative reasoning... - PharmGKB: an integrated resource of pharmacogenomic data and knowledgeLi Gong
Genetics Department, Stanford University, Stanford, California, USA
Curr Protoc Bioinformatics . 2008..Workflow on how to use PharmGKB to facilitate design of the pharmacogenomic study is also described in this unit... - Using text analysis to identify functionally coherent gene groupsSoumya Raychaudhuri
Department of Genetics, Stanford Medical Informatics, University, Stanford, California 94305-5479, USA
Genome Res 12:1582-90. 2002..We also apply neighbor divergence to previously published gene expression clusters to assess its ability to recognize gene groups that had been manually identified as representative of a common function... - Extending and evaluating a warfarin dosing algorithm that includes CYP4F2 and pooled rare variants of CYP2C9Hersh Sagreiya
Stanford University, Stanford, California 94305 5444, USA
Pharmacogenet Genomics 20:407-13. 2010..We sought to analyze new factors involved in its dosing and to evaluate eight dosing algorithms, including two developed by the International Warfarin Pharmacogenetics Consortium (IWPC)... - Representing genetic sequence data for pharmacogenomics: an evolutionary approach using ontological and relational modelsDaniel L Rubin
Department of Genetics, Stanford Medical Informatics, MSOB X 215, Stanford, CA 94305 5479, USA
Bioinformatics 18:S207-15. 2002.... - PharmGKB: the Pharmacogenetics Knowledge BaseMicheal Hewett
Stanford Medical Informatics, 251 Campus Drive, MSOB X 215, Stanford, CA 94305 5479, USA
Nucleic Acids Res 30:163-5. 2002..The PharmGKB project was initiated in April 2000 and the first version of the knowledge base went online in February 2001... - Clinical assessment incorporating a personal genomeEuan A Ashley
Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
Lancet 375:1525-35. 2010..The cost of genomic information has fallen steeply, but the clinical translation of genetic risk estimates remains unclear. We aimed to undertake an integrated analysis of a complete human genome in a clinical context... - MutDB: annotating human variation with functionally relevant dataSean D Mooney
Department of Genetics, Stanford Medical Informatics, Stanford University, 251 Campus Drive, MSOB X 215 Stanford, CA 94305 5479, USA
Bioinformatics 19:1858-60. 2003..AVAILABILITY: http://mutdb.org/ Supplementary information: http://mutdb.org/about/about.html.. - A statistical approach to scanning the biomedical literature for pharmacogenetics knowledgeDaniel L Rubin
Section of Medical Informatics, MSOB X 215, Stanford, CA 94305, USA
J Am Med Inform Assoc 12:121-9. 2005..The goal of the authors was to develop an automated method to identify articles in Medline citations that contain pharmacogenetics data pertaining to gene-drug relationships... - Microenvironment analysis and identification of magnesium binding sites in RNAD Rey Banatao
Department of Genetics and Stanford Medical Informatics, 251 Campus Drive, Stanford University, CA 94305, USA
Nucleic Acids Res 31:4450-60. 2003..We also identified potentially important, high scoring sites in the group I intron that are not currently annotated as Mg2+ binding sites. We note their potential function and believe they deserve experimental follow-up... - A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)Olga G Troyanskaya
Department of Genetics, Stanford University School of Medicine, CA 94305, USA
Proc Natl Acad Sci U S A 100:8348-53. 2003..We found that by creating functional groupings based on heterogeneous data types, MAGIC improved accuracy of the groupings compared with microarray analysis alone. We describe several of the biological gene groupings identified... - A resource to acquire and summarize pharmacogenetics knowledge in the literatureDaniel L Rubin
Department of Genetics, Stanford University, Stanford, CA 94305-5210, USA
Medinfo 11:793-7. 2004..This resource is growing, containing entries for 138 genes and 215 drugs of pharmacogenetics significance, and is a core component of PharmGKB, a pharmacogenetics knowledge base (http://www.pharmgkb.org)... - Computational analysis of Plasmodium falciparum metabolism: organizing genomic information to facilitate drug discoveryIwei Yeh
Department of Genetics, Stanford University, Stanford, California 94305, USA
Genome Res 14:917-24. 2004..A total of 87.5% of proposed drug targets with biological evidence in the literature are chokepoint reactions. Therefore, identifying chokepoint enzymes represents one systematic way to identify potential metabolic drug targets... - Mining biochemical information: lessons taught by the ribosomeMichelle Whirl-Carrillo
Stanford Medical Informatics, Stanford University, California 94305-5479, USA
RNA 8:279-89. 2002..We also conclude that development of automated modeling approaches would benefit from better annotations of experimental data for detection and interpretation of their significance... - PharmGKB and the International Warfarin Pharmacogenetics Consortium: the changing role for pharmacogenomic databases and single-drug pharmacogeneticsRyan P Owen
Department of Genetics, Stanford University Medical Center, Stanford, California 94305, USA
Hum Mutat 29:456-60. 2008..PharmGKB has embraced the challenge of continuing to maintain its original mission while taking an active role in the formation of pharmacogenetic consortia... - Structural characterization of proteins using residue environmentsSean D Mooney
Department of Genetics, Stanford University, Stanford, California, USA
Proteins 61:741-7. 2005..S-BLEST was able to associate 20 proteins with at least one local structural neighbor and identify the amino acid environments that are most similar between those neighbors... - The computational analysis of scientific literature to define and recognize gene expression clustersSoumya Raychaudhuri
Department of Genetics and. Department of Biochemistry, Stanford University, Stanford, CA 94305, USA
Nucleic Acids Res 31:4553-60. 2003..In both cases, we are able to rapidly define and identify the biologically relevant gene expression profiles without manual intervention. In both cases, we identified novel clusters that were not noted by the original investigators... - Robust recognition of zinc binding sites in proteinsJessica C Ebert
Department of Genetics, Stanford University, Stanford, California 94305, USA
Protein Sci 17:54-65. 2008..Both the source code and a Web interface are available to the public at http://feature.stanford.edu/metals... - Using surface envelopes to constrain molecular modelingJonathan M Dugan
Department of Genetics, Stanford University, CA 94305 5120, USA
Protein Sci 16:1266-73. 2007.... - A literature-based method for assessing the functional coherence of a gene groupSoumya Raychaudhuri
Department of Genetics, Stanford Medical Informatics, 251 Campus Drive, MSOB X-215, Stanford University, Stanford, CA 94305-5479, USA
Bioinformatics 19:396-401. 2003..NDPG finds functional coherence in 96, 92, 82 and 45% of the groups (at 99.9% specificity) in yeast, mouse, fly and worm respectively... - Creating an online dictionary of abbreviations from MEDLINEJeffrey T Chang
Department of Genetics, Stanford Medical Informatics, Stanford, California 94305, USA
J Am Med Inform Assoc 9:612-20. 2002..CONCLUSION: We have developed an algorithm to identify abbreviations from text. We are making this available as a public abbreviation server at \url[http://abbreviation.stanford.edu/]... - Associating genes with gene ontology codes using a maximum entropy analysis of biomedical literatureSoumya Raychaudhuri
Department of Genetics, Stanford University, Stanford, California 94305, USA
Genome Res 12:203-14. 2002..We conclude that statistical methods may be used to assign GO codes and may be useful for the difficult task of reassignment as terminology standards evolve over time... - Finding haplotype tagging SNPs by use of principal components analysisZhen Lin
Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305-5120, USA
Am J Hum Genet 75:850-61. 2004..We applied these methods to three experimental data sets and found that the PCA-based methods tend to select the smallest set of htSNPs to achieve a 90% reconstruction precision... - PharmGKB: understanding the effects of individual genetic variantsKatrin Sangkuhl
Department of Genetics, Stanford University, Stanford, California 94305 5120, USA
Drug Metab Rev 40:539-51. 2008..These features link variant genotypes to phenotypes, increase the breadth of pharmacogenomics literature curated, and visualize single-nucleotide polymorphisms on a gene's three-dimensional protein structure... - PharmGKB: the pharmacogenetics and pharmacogenomics knowledge baseCaroline F Thorn
Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
Methods Mol Biol 311:179-91. 2005..Registered users can access and download primary data to aid in the design of future pharmacogenetics and pharmacogenomics studies... - Integrating large-scale genotype and phenotype dataTina Hernandez-Boussard
Department of Genetics, Stanford University Medical School, Stanford, California, USA
OMICS 10:545-54. 2006..PharmGKB has confronted these challenges, and these experiences and solutions can benefit all genome communities... - Knowledge-based instantiation of full atomic detail into coarse-grain RNA 3D structural modelsMagdalena A Jonikas
Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
Bioinformatics 25:3259-66. 2009..Although they contain topological information, coarse-grain models lack atomic detail, which limits their utility for some applications... - SAFA: semi-automated footprinting analysis software for high-throughput quantification of nucleic acid footprinting experimentsRhiju Das
Department of Physics, Stanford University, Stanford, CA 94305, USA
RNA 11:344-54. 2005..Further, the increased throughput provided by SAFA may allow a more comprehensive understanding of molecular interactions. The software and documentation are freely available for download at http://safa.stanford.edu... - Eukaryotic regulatory element conservation analysis and identification using comparative genomicsYueyi Liu
Stanford Medical Informatics, Stanford University, Stanford, California 94305, USA
Genome Res 14:451-8. 2004..CompareProspector outperformed many other computational motif-finding programs, demonstrating the power of comparative genomics-based biased sampling in eukaryotic regulatory element identification... - Identification of promoter regions in the human genome by using a retroviral plasmid library-based functional reporter gene assayShirin Khambata-Ford
Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
Genome Res 13:1765-74. 2003..This method promises to be a useful genome-wide function-based approach that can complement existing methods to look for promoters... - Promises of text processing: natural language processing meets AIJeffrey T Chang
Department of Genetics, Stanford Medical Informatics, Stanford School of Medicine, MSOB X-215, 251 Campus Drive, Stanford, CA 94305, USA
Drug Discov Today 7:992-3. 2002 - Large scale study of protein domain distribution in the context of alternative splicingShuo Liu
Department of Genetics, Stanford Medical Informatics, 251 Campus Drive, MSOB X-215, Stanford, CA 94305-5479, USA
Nucleic Acids Res 31:4828-35. 2003.... - Indexing pharmacogenetic knowledge on the World Wide WebRuss B Altman
Department of Genetics, Stanford Medical Informatics, Stanford University, Stanford, California, USA
Pharmacogenetics 13:3-5. 2003 - Coarse-grained modeling of large RNA molecules with knowledge-based potentials and structural filtersMagdalena A Jonikas
Department of Bioengineering, Stanford University, California 94305, USA
RNA 15:189-99. 2009..thermophila group I intron, creating an integrated model of the entire molecule. Our software package is freely available at https://simtk.org/home/nast... - Interview: Russ Altman speaks to Shreeya Nanda, Commissioning EditorRUSS BIAGIO ALTMAN
Pharmacogenomics 9:663-5. 2008b>Russ Biagio Altman is a professor of bioengineering, genetics, and medicine (and of computer science by courtesy) and chairman of the Bioengineering Department at Stanford University, CA, USA...
Research Grants
- Annotating functional sites in 3D biological structuresRUSS BIAGIO ALTMAN; Fiscal Year: 2010..In particular, we will focus our new capabilities on three difficult function annotation challenges: ATP binding sites, phosphorylation sites, and metabolizing enzyme active sites. ..
- Annotating functional sites in 3D biological structuresRuss Altman; Fiscal Year: 2007..We will make the resulting models available on the Web for real-time structural annotation, and will distribute the software for open source development. ..
- Physics-based Simulation of Biological Structures(RMI)Russ Altman; Fiscal Year: 2007..It will thus provide a critical piece of a national biomedical computing infrastructure. ..
- MODELING AND COMPUTING WITH UNCERTAIN STRUCTURESRuss Altman; Fiscal Year: 2002..Therefore, we will leverage other efforts in malaria genomics within our laboratory by attempting to estimate structures and assess their function. ..
- Biomedical Computation Graduate Training at StanfordRuss Altman; Fiscal Year: 2007..abstract_text> ..
- The PharmGKB: Catalyzing Research in PharmacogeneticsRuss Altman; Fiscal Year: 2007....
- Annotating functional sites in 3D biological structuresRUSS BIAGIO ALTMAN; Fiscal Year: 2010..In particular, we will focus our new capabilities on three difficult function annotation challenges: ATP binding sites, phosphorylation sites, and metabolizing enzyme active sites. ..