Search Results - "Sequence Alignment statistics & numerical data"

Making sense of score statistics for sequence alignments

Authors: Pagni, M. Jongeneel, C. V.

Subject Terms: Amino Acid Sequence Animals Computational Biology Databases, Factual Humans Markov Chains Models, Statistical Molecular Sequence Data Proteins/genetics Sequence Alignment/*statistics & numerical data Sequence Homology, Amino Acid

Relation: Briefings in Bioinformatics; https://iris.unil.ch/handle/iris/204414; serval:BIB_CD62AA985FEC

Availability: https://iris.unil.ch/handle/iris/204414

OpenFluDB, a database for human and animal influenza virus

Authors: Liechti, Robin Gleizes, Anne Kuznetsov, Dmitry et al.

Source: ISSN: 1758-0463 ; Database, vol. 2010 (2010) baq004.

Subject Terms: info:eu-repo/classification/ddc/576, Animals, Birds, Databases, Genetic, Evolution, Molecular, Genome, Viral, Humans, Influenza A Virus, H1N1 Subtype/genetics/isolation & purification, Influenza in Birds/virology, Influenza, Human/virology, Orthomyxoviridae/genetics/isolation & purification, Orthomyxoviridae Infections/virology, Phylogeny, Sequence Alignment/statistics & numerical data, Swine, User-Computer Interface

Relation: info:eu-repo/semantics/altIdentifier/pmid/20624713; unige:36264

Availability: https://archive-ouverte.unige.ch/unige:36264

OpenFluDB, a database for human and animal influenza virus.

Authors: Liechti, R. Gleizes, A. Kuznetsov, D. et al.

Source: Database, vol. 2010, pp. baq004

Subject Terms: Animals, Birds, Databases, Genetic, Evolution, Molecular, Genome, Viral, Humans, Influenza A Virus, H1N1 Subtype/genetics, H1N1 Subtype/isolation & purification, Influenza in Birds/virology, Influenza, Human/virology, Orthomyxoviridae/genetics, Orthomyxoviridae/isolation & purification, Orthomyxoviridae Infections/virology, Phylogeny, Sequence Alignment/statistics & numerical data, Swine, User-Computer Interface

File Description: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/pmid/20624713; info:eu-repo/semantics/altIdentifier/eissn/1758-0463; info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_949FEEAB27502; https://serval.unil.ch/notice/serval:BIB_949FEEAB2750; https://serval.unil.ch/resource/serval:BIB_949FEEAB2750.P001/REF.pdf

Availability: https://serval.unil.ch/notice/serval:BIB_949FEEAB2750
https://doi.org/10.1093/database/baq004
https://serval.unil.ch/resource/serval:BIB_949FEEAB2750.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_949FEEAB27502

Spectronet: a package for computing spectra and median networks.

Authors: Huber, Katharina T Langton, Michael Penny, David et al.

Source: Appl Bioinformatics. 1(3):159-61

Subject Terms: Computational Biology, Computer Simulation, Evolution, Molecular, Models, Genetic, Phylogeny, Plants/classification/genetics, Research Support, Non-U.S. Gov't, Sequence Alignment/statistics & numerical data, Software, Software Design

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-71807

Identifying protein complexes directly from high-throughput TAP data with Markov random fields.

Authors: Rungsarityotin, Wasinee KRAUSE, Roland Schodl, Arno et al.

Source: BMC Bioinformatics, 8, 482 (2007)

Subject Terms: Artifacts, Artificial Intelligence, Cluster Analysis, Data Interpretation, Statistical, Databases, Protein, Likelihood Functions, Models, Biological, Observer Variation, Protein Binding, Protein Interaction Mapping/methods, Recombinant Fusion Proteins/analysis/chemistry, Reproducibility of Results, Saccharomyces cerevisiae Proteins/analysis/chemistry, Sequence Alignment/statistics & numerical data, Sequence Analysis, Protein/methods, Stochastic Processes, Life sciences, Sciences du vivant

Relation: urn:issn:1471-2105; https://orbilu.uni.lu/handle/10993/17537; info:hdl:10993/17537; info:pmid:18093306; wos:000252791200001

Availability: https://orbilu.uni.lu/handle/10993/17537
https://orbilu.uni.lu/bitstream/10993/17537/1/Rungsarityotin%20et%20al.%20-%20BMC%20bioinformatics%20-%20Identifying%20protein%20complexes%20directly%20from%20high-throughput%20TAP%20data%20with%20Markov%20random%20fie.pdf
https://doi.org/10.1186/1471-2105-8-482

Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition.

Authors: Tamura, Takeyuki Akutsu, Tatsuya 田村, 武幸 et al.

Contributors: Tamura, Takeyuki Akutsu, Tatsuya 田村, 武幸 et al.

Subject Terms: Algorithms, Amino Acid Sequence/physiology, Artificial Intelligence, Cluster Analysis, Computational Biology/methods, Databases, Protein, Internet, Intracellular Space/metabolism, Intracellular Space/ultrastructure, Models, Biological, Pattern Recognition, Automated/methods, Plant Proteins/metabolism, Plant Proteins/ultrastructure, Predictive Value of Tests, Protein Transport, Reproducibility of Results, Sequence Alignment/statistics & numerical data, Structure-Activity Relationship

File Description: application/pdf

Relation: http://hdl.handle.net/2433/159464; BMC bioinformatics; 466

Availability: http://hdl.handle.net/2433/159464

ScanProsite: a reference implementation of a PROSITE scanning tool

Authors: Gattiker, Alexandre Gasteiger, Elisabeth Bairoch, Amos Marc

Source: ISSN: 1175-5636 ; Applied bioinformatics, vol. 1, no. 2 (2002) p. 107-108.

Subject Terms: info:eu-repo/classification/ddc/576, Computational Biology, Databases, Protein, Gene Expression Profiling/statistics & numerical data, Sequence Alignment/statistics & numerical data, Software

Relation: info:eu-repo/semantics/altIdentifier/pmid/15130850; unige:40343

Availability: https://archive-ouverte.unige.ch/unige:40343

Making sense of score statistics for sequence alignments

Authors: Pagni, M. Jongeneel, C. V.

Source: Briefings in Bioinformatics, vol. 2, no. 1, pp. 51-67

Subject Terms: Amino Acid Sequence Animals Computational Biology Databases, Factual Humans Markov Chains Models, Statistical Molecular Sequence Data Proteins/genetics Sequence Alignment/*statistics & numerical data Sequence Homology, Amino Acid

Relation: info:eu-repo/semantics/altIdentifier/pmid/11465063; info:eu-repo/semantics/altIdentifier/pissn/1467-5463; https://serval.unil.ch/notice/serval:BIB_CD62AA985FEC

Availability: https://serval.unil.ch/notice/serval:BIB_CD62AA985FEC

Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition.

Authors: Akutsu, Tatsuya Tamura, Takeyuki

Index Terms: Algorithms, Amino Acid Sequence/physiology, Artificial Intelligence, Cluster Analysis, Computational Biology/methods, Databases, Protein, Internet, Intracellular Space/metabolism, Intracellular Space/ultrastructure, Models, Biological, Pattern Recognition, Automated/methods, Plant Proteins/metabolism, Plant Proteins/ultrastructure, Predictive Value of Tests, Protein Transport, Reproducibility of Results, Sequence Alignment/statistics & numerical data, Structure-Activity Relationship, Journal Article., VoR.

URL: http://hdl.handle.net/2433/159464
http://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/159464/1/1471-2105-8-466.pdf
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