Tools
From GersteinInfo
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- | Below we highlight some of our tools and data sets. For an overview of the published literature | + | Below we highlight some of our tools and data sets. For an overview of the associated published literature, please visit [http://papers.gersteinlab.org/subject/tools/index.html our tools publication page]. You may also view a [http://papers.gersteinlab.org/subject/coretools/index.html list of the publications associated with our core tools]. Source code is available on our [http://github.com/gersteinlab lab Github page]. |
=Tool portals= | =Tool portals= | ||
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|style="width:15%; text-align:center;"| [[File:Network.jpg|center|x75px]] <br> [http://networks.gersteinlab.org/ Networks] || | |style="width:15%; text-align:center;"| [[File:Network.jpg|center|x75px]] <br> [http://networks.gersteinlab.org/ Networks] || | ||
- | The Gerstein lab has been a pioneer in applying network analysis to generate knowledge form large-scale experiments.To this end, we have developed a portal for our network research. | + | The Gerstein lab has been a pioneer in applying network analysis to generate knowledge form large-scale experiments. To this end, we have developed a portal for our network research. |
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|style="width:15%; text-align:center;"| [[File:SVpage logo.png|center|x85px]] <br> [http://sv.gersteinlab.org/ Structural Variants]|| | |style="width:15%; text-align:center;"| [[File:SVpage logo.png|center|x85px]] <br> [http://sv.gersteinlab.org/ Structural Variants]|| | ||
- | Structural Variations (SVs) and Copy Number Variations (CNVs) | + | Software tools that may be used to investigate Structural Variations (SVs) and Copy Number Variations (CNVs) are available at this portal. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://sv.gersteinlab.org/cnvnator/ '''CNVnator'''] [http://papers.gersteinlab.org/papers/CNVnator/index.html (citation)]||style="width:7%; text-align:center;"| | + | |style="width:15%; text-align:center;"|[http://sv.gersteinlab.org/cnvnator/ '''CNVnator'''] [http://papers.gersteinlab.org/papers/CNVnator/index.html (citation)]||style="width:7%; text-align:center;"|2011|| CNVnator may be used to discover, genotype, and characterize typical and atypical CNVs from familial and population genome sequencing. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://sv.gersteinlab.org/age/ '''AGE'''] [http://papers.gersteinlab.org/papers/age/index.html (citation)]||style="width:7%; text-align:center;"| | + | |style="width:15%; text-align:center;"|[http://sv.gersteinlab.org/age/ '''AGE'''] [http://papers.gersteinlab.org/papers/age/index.html (citation)]||style="width:7%; text-align:center;"|2011|| AGE is used for defining breakpoints of genomic structural variants at single-nucleotide resolution, using optimal alignments with gap excision. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://funseq.gersteinlab.org/ '''FunSeq''']||style="width:7%; text-align:center;"|2013|| | + | |style="width:15%; text-align:center;"|[http://funseq.gersteinlab.org/ '''FunSeq''']||style="width:7%; text-align:center;"|2013|| FunSeq can be used to automatically score and annotate disease-causing potential of SNVs, particularly the non-coding ones. It can be used on cancer and personal genomes. Additionally, the tool can also detect recurrent annotation elements in non-coding regions when running with multiple genomes. FunSeq can be applied to cancer or personal genomes, and is available for download. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
|style="width:15%; text-align:center;"|[http://vat.gersteinlab.org/ '''VAT'''] <br> [http://github.com/gersteinlab/vat Github repo] ||style="width:7%; text-align:center;"|2012|| A computational framework to functionally annotate variants in personal genomes using a cloud-computing environment. | |style="width:15%; text-align:center;"|[http://vat.gersteinlab.org/ '''VAT'''] <br> [http://github.com/gersteinlab/vat Github repo] ||style="width:7%; text-align:center;"|2012|| A computational framework to functionally annotate variants in personal genomes using a cloud-computing environment. | ||
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://archive.gersteinlab.org/proj/rnaseq/fusionseq/ '''FusionSeq''']<br>[http://github.com/gersteinlab/FusionSeq Github repo]||style="width:7%; text-align:center;"| | + | |style="width:15%; text-align:center;"|[http://archive.gersteinlab.org/proj/rnaseq/fusionseq/ '''FusionSeq''']<br>[http://github.com/gersteinlab/FusionSeq Github repo]||style="width:7%; text-align:center;"|2010||FusionSeq may be used to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts, such as misalignment or random pairing of transcript fragments, and it ranks candidates according to several statistics. It also includes a module to identify exact sequences at breakpoint junctions. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://act.gersteinlab.org/ '''ACT''']||style="width:7%; text-align:center;"|2011||The aggregation and correlation toolbox (ACT) is an | + | |style="width:15%; text-align:center;"|[http://act.gersteinlab.org/ '''ACT''']||style="width:7%; text-align:center;"|2011||The aggregation and correlation toolbox (ACT) is an efficient, multifaceted toolbox for analyzing continuous signal and discrete region tracks from high-throughput genomic experiments, such as RNA-seq or ChIP-chip signal profiles from the ENCODE and modENCODE projects, or lists of single nucleotide polymorphisms from the 1000 genomes project. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="text-align: center;"|[http://archive.gersteinlab.org/proj/rnaseq/IQSeq/ '''IQseq''']<br>[http://github.com/gersteinlab/IQSeq Github repo]||style="text-align:center;"| | + | |style="text-align: center;"|[http://archive.gersteinlab.org/proj/rnaseq/IQSeq/ '''IQseq''']<br>[http://github.com/gersteinlab/IQSeq Github repo]||style="text-align:center;"|2012||A tool for isoform quantification with RNA-seq data. Given isoform annotation and alignment of RNA-seq reads, it will use an EM algorithm to infer the most probable expression level for each isoform of a gene. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="text-align: center;"|[https://code.google.com/p/lesseq/ '''LESSeq''']<br>[http://github.com/gersteinlab/LESSeq Github repo]||style="text-align:center;"| | + | |style="text-align: center;"|[https://code.google.com/p/lesseq/ '''LESSeq''']<br>[http://github.com/gersteinlab/LESSeq Github repo]||style="text-align:center;"|2014||Local Event-based analysis of alternative Splicing using RNA-Seq |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="text-align: center;"|[http://archive.gersteinlab.org/proj/rnaseq/rseqtools/ '''RSEQtools''']||style="text-align:center;"| | + | |style="text-align: center;"|[http://archive.gersteinlab.org/proj/rnaseq/rseqtools/ '''RSEQtools''']||style="text-align:center;"|2011||A suite of tools that use Mapped Read Format (MRF) for the analysis of RNA-Seq experiments. MRF is a compact data format that enables anonymization of confidential sequence information while maintaining the ability to conduct subsequent functional genomics studies. RSEQtools provides a suite of modules that convert to/from MRF data and perform common tasks such as calculating gene expression values, generating signal tracks of mapped reads, and segmenting that signal into actively transcribed regions. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://www.gersteinlab.org/proj/PeakSeq/ '''PeakSeq''']||style="width:7%; text-align:center;"|2009|| A tool for calling peaks corresponding to transcription factor binding sites from ChIP-Seq data scored against a matched control such as | + | |style="width:15%; text-align:center;"|[http://www.gersteinlab.org/proj/PeakSeq/ '''PeakSeq''']||style="width:7%; text-align:center;"|2009|| A tool for calling peaks corresponding to transcription factor binding sites from ChIP-Seq data scored against a matched control such as input DNA. PeakSeq employs a two-pass strategy in which putative binding sites are first identified in order to compensate for genomic variation in the 'mappability' of sequences, before a second pass filters out sites not significantly enriched compared to the normalized control, computing precise enrichments and significances. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://alleleseq.gersteinlab.org/home.html '''AlleleSeq''']||style="width:7%; text-align:center;"|2011|| | + | |style="width:15%; text-align:center;"|[http://alleleseq.gersteinlab.org/home.html '''AlleleSeq''']||style="width:7%; text-align:center;"|2011||AlleleSeq is a computational pipeline that is used to study allele-specific expression (ASE) and allele specific binding (ASB). The pipeline first constructs a diploid personal genome sequence, then maps RNA-seq and ChIP-seq functional genomic data onto this personal genome. Consequently, locations in which there are differences in number of mapped reads between maternally- and paternally-derived sequences can be identified, thereby providing evidence for allele-specific events. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://motips.gersteinlab.org/ ''' | + | |style="width:15%; text-align:center;"|[http://motips.gersteinlab.org/ '''MOTIPS''']||style="width:7%; text-align:center;"|2010||MOTIPS employs an efficient search algorithm to scan a target proteome for potential domain targets and to increase the accuracy of each hit by integrating a variety of pre-computed features, such as conservation, surface propensity, and disorder. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://proteomics.gersteinlab.org '''PARE''']||style="width:7%; text-align:center;"|2007|| | + | |style="width:15%; text-align:center;"|[http://proteomics.gersteinlab.org '''PARE''']||style="width:7%; text-align:center;"|2007||Protein Abundance and mRNA Expression (PARE) is a tool for comparing protein abundance and mRNA expression data. In addition to globally comparing the quantities of protein and mRNA, PARE allows users to select subsets of proteins for focused study (based on functional categories and complexes). Furthermore, it highlights correlation outliers, which may warrant further investigation. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://networks.gersteinlab.org | + | |style="width:15%; text-align:center;"|[http://networks.gersteinlab.org/ '''TopNet''']||style="width:7%; text-align:center;"|2004||TopNet is an automated web tool designed compare the topologies of sub-networks, looking for global differences associated with different types of proteins. This automated web tool designed to address this question, calculating and comparing topological characteristics for different sub-networks derived from any given protein network. |
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|style="width:15%; text-align:center;"|[http://tyna.gersteinlab.org/tyna/ '''tYNA''']||style="width:7%; text-align:center;"|2006||(TopNet-like Yale Network Analyzer). A Web system for managing, comparing and mining multiple networks, both directed and undirected. tYNA efficiently implements methods that have proven useful in network analysis, including identifying defective cliques, finding small network motifs (such as feed-forward loops), calculating global statistics (such as the clustering coefficient and eccentricity), and identifying hubs and bottlenecks etc. | |style="width:15%; text-align:center;"|[http://tyna.gersteinlab.org/tyna/ '''tYNA''']||style="width:7%; text-align:center;"|2006||(TopNet-like Yale Network Analyzer). A Web system for managing, comparing and mining multiple networks, both directed and undirected. tYNA efficiently implements methods that have proven useful in network analysis, including identifying defective cliques, finding small network motifs (such as feed-forward loops), calculating global statistics (such as the clustering coefficient and eccentricity), and identifying hubs and bottlenecks etc. | ||
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://pubnet.gersteinlab.org/ '''PubNet''']||style="width:7%; text-align:center;"|2005||A web-based tool that extracts several types of relationships returned by PubMed queries and maps them | + | |style="width:15%; text-align:center;"|[http://pubnet.gersteinlab.org/ '''PubNet''']||style="width:7%; text-align:center;"|2005||A web-based tool that extracts several types of relationships returned by PubMed queries and maps them on to networks, allowing for graphical visualization, textual navigation, and topological analysis. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
|style="width:15%; text-align:center;"|[http://archive.gersteinlab.org/proj/DynaSIN/index.html '''DynaSIN''']||style="width:7%; text-align:center;"|2011||The Dynamic Structure Interaction Network (DynaSIN) is a resource for studying protein-protein interaction networks in the context of conformational changes. | |style="width:15%; text-align:center;"|[http://archive.gersteinlab.org/proj/DynaSIN/index.html '''DynaSIN''']||style="width:7%; text-align:center;"|2011||The Dynamic Structure Interaction Network (DynaSIN) is a resource for studying protein-protein interaction networks in the context of conformational changes. | ||
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- | =Evolution | + | =Evolution= |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://coevolution.gersteinlab.org/coevolution/ '''Coevolution analysis of protein residues''']||style="width:7%; text-align:center;"|2008||An integrated online system that enables comparative analyses of residue coevolution with a comprehensive set of commonly used scoring functions, including | + | |style="width:15%; text-align:center;"|[http://coevolution.gersteinlab.org/coevolution/ '''Coevolution analysis of protein residues''']||style="width:7%; text-align:center;"|2008||An integrated online system that enables comparative analyses of residue coevolution with a comprehensive set of commonly used scoring functions, including statistical coupling analysis (SCA), explicit likelihood of subset variation (ELSC), mutual information and correlation-based methods. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://geometry.molmovdb.org '''Macromolecular Geometry and Packing Tools''']||style="width:7%; text-align:center;"|1994-2009||A number of programs for calculating properties of protein and nucleic acid structures have been collected into a single distribution. | + | |style="width:15%; text-align:center;"|[http://geometry.molmovdb.org '''Macromolecular Geometry and Packing Tools''']||style="width:7%; text-align:center;"|1994-2009||A number of programs for calculating properties of protein and nucleic acid structures have been collected into a single distribution. Included is a library functions for analyzing structures, a convenient interactive command-line interpreter, and software for the calculation of geometrical quantities associated with macromolecular structures and their motions. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"| [http://3vee.molmovdb.org/ ''' | + | |style="width:15%; text-align:center;"| [http://3vee.molmovdb.org/ '''3V''']||style="width:7%; text-align:center;"|2010|| |
- | + | The 3V web server extracts and comprehensively analyzes the internal volumes of input RNA and protein structures. It identifies internal volumes by taking the difference between two rolling-probe solvent-excluded surfaces. | |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://helix.gersteinlab.org/ '''HIT''']||style="width:7%; text-align:center;"|2006|| | + | |style="width:15%; text-align:center;"|[http://helix.gersteinlab.org/ '''HIT''']||style="width:7%; text-align:center;"|2006||The Helix Interaction Tool (HIT) is a a comprehensive package for analyzing helix-helix packing in proteins. This enables the user to obtain quantitative measures of the helix interaction surface area and helix crossing angle, as well as several methods for visualizing the helical interaction. |
|-style="height: 100px;" | |-style="height: 100px;" | ||
- | |style="width:15%; text-align:center;"|[http://www2.molmovdb.org/wiki/info/index.php/Morph_Server '''Morph Server''']||style="width:7%; text-align:center;"| | + | |style="width:15%; text-align:center;"|[http://www2.molmovdb.org/wiki/info/index.php/Morph_Server '''Morph Server''']||style="width:7%; text-align:center;"|2000||A web server for generating and viewing models of protein conformational change using interpolation with energy minimization. The user may opt to use either single- or multi-chain proteins as input. |
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!Name!!Release Date!!class="unsortable"|Description | !Name!!Release Date!!class="unsortable"|Description | ||
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- | |style="width:15%; text-align:center;"|[http://sv.gersteinlab.org/breakdb/ '''BreakDB''']||style="width:7%; text-align:center;"| | + | |style="width:15%; text-align:center;"|[http://sv.gersteinlab.org/breakdb/ '''BreakDB''']||style="width:7%; text-align:center;"|2009||This database, which is part of the PEMer package, contains information about structural variants and associated breakpoints. |
|} | |} | ||
=more tools= | =more tools= | ||
[[more tools]] | [[more tools]] |
Revision as of 03:34, 9 April 2014
Below we highlight some of our tools and data sets. For an overview of the associated published literature, please visit our tools publication page. You may also view a list of the publications associated with our core tools. Source code is available on our lab Github page.
Contents |
Tool portals
MolMovDB
Name Description
MolMovDBThis describes the motions that occur in proteins and other macromolecules, particularly using movies. Associated with it are a variety of free software tools and servers for structural analysis.
Pseudogene.org
Name Description
Pseudogene.orgPseudogene.org is a collection of resources related to our efforts to survey eukaryotic genomes for pseudogene sequences, "pseudo-fold" usage, amino-acid composition, and single-nucleotide polymorphisms (SNPs) to help elucidate the relationships between pseudogene families across several organisms.
Networks
Name Description
NetworksThe Gerstein lab has been a pioneer in applying network analysis to generate knowledge form large-scale experiments. To this end, we have developed a portal for our network research.
Structural Variants (SV)
Name Description
Structural VariantsSoftware tools that may be used to investigate Structural Variations (SVs) and Copy Number Variations (CNVs) are available at this portal.
Genome Technology Tools
Structural Variation
Name Release Date Description CNVnator (citation) 2011 CNVnator may be used to discover, genotype, and characterize typical and atypical CNVs from familial and population genome sequencing. AGE (citation) 2011 AGE is used for defining breakpoints of genomic structural variants at single-nucleotide resolution, using optimal alignments with gap excision.
Functional Annotation
Name Release Date Description FunSeq 2013 FunSeq can be used to automatically score and annotate disease-causing potential of SNVs, particularly the non-coding ones. It can be used on cancer and personal genomes. Additionally, the tool can also detect recurrent annotation elements in non-coding regions when running with multiple genomes. FunSeq can be applied to cancer or personal genomes, and is available for download. VAT
Github repo2012 A computational framework to functionally annotate variants in personal genomes using a cloud-computing environment.
RNA-seq
Name Release Date Description FusionSeq
Github repo2010 FusionSeq may be used to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts, such as misalignment or random pairing of transcript fragments, and it ranks candidates according to several statistics. It also includes a module to identify exact sequences at breakpoint junctions. ACT 2011 The aggregation and correlation toolbox (ACT) is an efficient, multifaceted toolbox for analyzing continuous signal and discrete region tracks from high-throughput genomic experiments, such as RNA-seq or ChIP-chip signal profiles from the ENCODE and modENCODE projects, or lists of single nucleotide polymorphisms from the 1000 genomes project. IQseq
Github repo2012 A tool for isoform quantification with RNA-seq data. Given isoform annotation and alignment of RNA-seq reads, it will use an EM algorithm to infer the most probable expression level for each isoform of a gene. LESSeq
Github repo2014 Local Event-based analysis of alternative Splicing using RNA-Seq RSEQtools 2011 A suite of tools that use Mapped Read Format (MRF) for the analysis of RNA-Seq experiments. MRF is a compact data format that enables anonymization of confidential sequence information while maintaining the ability to conduct subsequent functional genomics studies. RSEQtools provides a suite of modules that convert to/from MRF data and perform common tasks such as calculating gene expression values, generating signal tracks of mapped reads, and segmenting that signal into actively transcribed regions.
ChiP-Seq
Name Release Date Description PeakSeq 2009 A tool for calling peaks corresponding to transcription factor binding sites from ChIP-Seq data scored against a matched control such as input DNA. PeakSeq employs a two-pass strategy in which putative binding sites are first identified in order to compensate for genomic variation in the 'mappability' of sequences, before a second pass filters out sites not significantly enriched compared to the normalized control, computing precise enrichments and significances.
Allele-specific effects
Name Release Date Description AlleleSeq 2011 AlleleSeq is a computational pipeline that is used to study allele-specific expression (ASE) and allele specific binding (ASB). The pipeline first constructs a diploid personal genome sequence, then maps RNA-seq and ChIP-seq functional genomic data onto this personal genome. Consequently, locations in which there are differences in number of mapped reads between maternally- and paternally-derived sequences can be identified, thereby providing evidence for allele-specific events.
Microarrays & Proteomics
Name Release Date Description MOTIPS 2010 MOTIPS employs an efficient search algorithm to scan a target proteome for potential domain targets and to increase the accuracy of each hit by integrating a variety of pre-computed features, such as conservation, surface propensity, and disorder. PARE 2007 Protein Abundance and mRNA Expression (PARE) is a tool for comparing protein abundance and mRNA expression data. In addition to globally comparing the quantities of protein and mRNA, PARE allows users to select subsets of proteins for focused study (based on functional categories and complexes). Furthermore, it highlights correlation outliers, which may warrant further investigation.
Networks
Name Release Date Description TopNet 2004 TopNet is an automated web tool designed compare the topologies of sub-networks, looking for global differences associated with different types of proteins. This automated web tool designed to address this question, calculating and comparing topological characteristics for different sub-networks derived from any given protein network. tYNA 2006 (TopNet-like Yale Network Analyzer). A Web system for managing, comparing and mining multiple networks, both directed and undirected. tYNA efficiently implements methods that have proven useful in network analysis, including identifying defective cliques, finding small network motifs (such as feed-forward loops), calculating global statistics (such as the clustering coefficient and eccentricity), and identifying hubs and bottlenecks etc. PubNet 2005 A web-based tool that extracts several types of relationships returned by PubMed queries and maps them on to networks, allowing for graphical visualization, textual navigation, and topological analysis. DynaSIN 2011 The Dynamic Structure Interaction Network (DynaSIN) is a resource for studying protein-protein interaction networks in the context of conformational changes.
Evolution
Name Release Date Description Coevolution analysis of protein residues 2008 An integrated online system that enables comparative analyses of residue coevolution with a comprehensive set of commonly used scoring functions, including statistical coupling analysis (SCA), explicit likelihood of subset variation (ELSC), mutual information and correlation-based methods.
Structure and Macromolecular Motions
Name Release Date Description Macromolecular Geometry and Packing Tools 1994-2009 A number of programs for calculating properties of protein and nucleic acid structures have been collected into a single distribution. Included is a library functions for analyzing structures, a convenient interactive command-line interpreter, and software for the calculation of geometrical quantities associated with macromolecular structures and their motions. 3V 2010 The 3V web server extracts and comprehensively analyzes the internal volumes of input RNA and protein structures. It identifies internal volumes by taking the difference between two rolling-probe solvent-excluded surfaces.
HIT 2006 The Helix Interaction Tool (HIT) is a a comprehensive package for analyzing helix-helix packing in proteins. This enables the user to obtain quantitative measures of the helix interaction surface area and helix crossing angle, as well as several methods for visualizing the helical interaction. Morph Server 2000 A web server for generating and viewing models of protein conformational change using interpolation with energy minimization. The user may opt to use either single- or multi-chain proteins as input.
Data sets
Name Release Date Description BreakDB 2009 This database, which is part of the PEMer package, contains information about structural variants and associated breakpoints.