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Ncbi Gene Reference Into Function Rif, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: dbLGL: an online leukemia gene and literature database for the retrospective comparison of adult and childhood leukemia genetics with literature evidence
Article Snippet: .. The collection of leukemia-associated genes was conducted by an extensive literature curation based on GeneRif (Gene Reference Into Function), which is a collection of short sentences about gene function generated by the National Center for Biotechnology Information (NCBI) ( ). ..

Magnetic Resonance Imaging:

Article Title: Inflammatory and immune response genes have significantly altered expression in schizophrenia.
Article Snippet: .. CSMD1 associated with schizophrenia among other traits,3 EHF associated with response to antipsychotic treatment and volumetric brain magnetic resonance imaging in schizophrenia patients,4,5 and RFX2, which is not reported but has an intronic SNP with a P-value1⁄4 3.5 10 6 in a schizophrenia and bipolar disorder GWAS meta-analysis.6 According to the scientific literature deposited in the GeneRIF repository (National Center for Biotechnology Information), 8 out of the 200 differentially expressed genes have been related to schizophrenia: GRIK3, LPL, S100B, SNCA, SYN2, TUBB2A, SELENBP1, CSMD1; increased levels of S100B have been reported in schizophrenia, which is consistent with our observation of significantly higher expression of the gene in schizophrenia patients. ..

GWAS:

Article Title: Inflammatory and immune response genes have significantly altered expression in schizophrenia.
Article Snippet: .. CSMD1 associated with schizophrenia among other traits,3 EHF associated with response to antipsychotic treatment and volumetric brain magnetic resonance imaging in schizophrenia patients,4,5 and RFX2, which is not reported but has an intronic SNP with a P-value1⁄4 3.5 10 6 in a schizophrenia and bipolar disorder GWAS meta-analysis.6 According to the scientific literature deposited in the GeneRIF repository (National Center for Biotechnology Information), 8 out of the 200 differentially expressed genes have been related to schizophrenia: GRIK3, LPL, S100B, SNCA, SYN2, TUBB2A, SELENBP1, CSMD1; increased levels of S100B have been reported in schizophrenia, which is consistent with our observation of significantly higher expression of the gene in schizophrenia patients. ..

Expressing:

Article Title: Inflammatory and immune response genes have significantly altered expression in schizophrenia.
Article Snippet: .. CSMD1 associated with schizophrenia among other traits,3 EHF associated with response to antipsychotic treatment and volumetric brain magnetic resonance imaging in schizophrenia patients,4,5 and RFX2, which is not reported but has an intronic SNP with a P-value1⁄4 3.5 10 6 in a schizophrenia and bipolar disorder GWAS meta-analysis.6 According to the scientific literature deposited in the GeneRIF repository (National Center for Biotechnology Information), 8 out of the 200 differentially expressed genes have been related to schizophrenia: GRIK3, LPL, S100B, SNCA, SYN2, TUBB2A, SELENBP1, CSMD1; increased levels of S100B have been reported in schizophrenia, which is consistent with our observation of significantly higher expression of the gene in schizophrenia patients. ..

Article Title: Inflammatory and immune response genes have significantly altered expression in schizophrenia.
Article Snippet: .. According to the scientific literature deposited in the GeneRIF repository (National Center for Biotechnology Information), 8 out of the 200 differentially expressed genes have been related to schizophrenia: GRIK3, LPL, S100B, SNCA, SYN2, TUBB2A, SELENBP1, CSMD1; increased levels of S100B have been reported in schizophrenia, which is consistent with our observation of significantly higher expression of the gene in schizophrenia patients. ..

other:

Article Title: Schizophrenia Gene Expression Profile Reverted to Normal Levels by Antipsychotics
Article Snippet: According to the scientific literature deposited in the Gene Reference into Function (GeneRIF) repository at the National Center for Biotechnology Information (retrieved February 28, 2014), 15 out of the 17 differential expression genes are annotated for disease or functionality in 719 publications.

Article Title: Decoding the dark genome reveals its organisation into modular disease networks
Article Snippet: Tbio designates targets in the early stages of development, and exhibits a well-documented Mendelian disease phenotype in the Online Mendelian Inheritance in Man (OMIM) database, Gene Ontology (GO) leaf term annotations supported by experimental evidence, or satisfying at least two of the following three criteria: a fractional PubMed publication count exceeding five, three or more annotations from the National Centre for Biotechnology Information (NCBI) Gene Reference Into Function (RIF), or 50 or more commercial antibodies, as indicated by data accessible from the Antibodypedia database , .

Article Title: Decoding the dark genome reveals its organisation into modular disease networks.
Article Snippet: Tbio designates targets in the early stages of development, and exhibits a welldocumented Mendelian disease phenotype in the Online Mendelian Inheritance in Man (OMIM) database, Gene Ontology (GO) leaf term annotations supported by experimental evidence, or satisfying at least two of the following three criteria: a fractional PubMed publication count exceeding five, three or more annotations from the National Centre for Biotechnology Information (NCBI) Gene Reference Into Function (RIF), or 50 or more commercial antibodies, as indicated by data accessible from the Antibodypedia database 24,26.

Article Title: DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections
Article Snippet: The Disease and Gene Annotation (DGA) database uses the Gene Reference Into Function (GeneRIF) from the National Center for Biotechnology Information (NCBI), Disease Ontology (DO) and molecular interaction networks to construct disease–gene, gene–gene and disease–disease relations ( ).



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Biotechnology Information ncbi gene reference into function rif
Ncbi Gene Reference Into Function Rif, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gene+reference+into+function+(generif)/function+gene+into+ncbi+reference+rif/pm41724774-235-63-61
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Biotechnology Information gene references into function (generif)
Geneshot user interface for the PubMed querying tab. ( A ) Search engine input section. ( B ) Scatter plot of all publications that mention both the gene and the search terms against the normalized values (left); gene with and without search terms mentions over time (right). ( C ) Tables providing ranked lists of relevant genes based on <t>GeneRIF</t> (left), and predictions based on AutoRIF co-occurrence (right).
Gene References Into Function (Generif), supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gene+reference+into+function+(generif)/gene+reference+into+function++generif+/pmc06602493-25-31-47
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Biotechnology Information gene reference into function (generif) repository
Geneshot user interface for the PubMed querying tab. ( A ) Search engine input section. ( B ) Scatter plot of all publications that mention both the gene and the search terms against the normalized values (left); gene with and without search terms mentions over time (right). ( C ) Tables providing ranked lists of relevant genes based on <t>GeneRIF</t> (left), and predictions based on AutoRIF co-occurrence (right).
Gene Reference Into Function (Generif) Repository, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gene+reference+into+function+(generif)/gene+reference+into+function++generif+/pmc04360232-149-8-19
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Biotechnology Information gene reference into function (generif)
Constructing the mechanism-based disease–disease network based on the GWAS/OMIM/DEG records. (A) We combine the disease–gene connections derived from GWAS, OMIM and DEG records to build a comprehensive disease–gene network (D 1 , D 2 , D 3 and D 4 indicate diseases and G 1 , G 2 , G 3 and G 4 indicate genes). For each disease pair, we calculate the hypergeometric P -value to assess the significance of the number of genes involved in both diseases. We also add drug–treatment relations to complement further the database. (B) In the disease–disease network, when users click the edge between disease D 1 and D 2 , the web server generates the detailed network of disease D 1 and D 2 , including <t>DEG/GWAS/OMIM/GeneRIF/GeneWays</t> disease–gene relations and drug treatment/target relations.
Gene Reference Into Function (Generif), supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gene+reference+into+function+(generif)/gene+reference+into+function++generif+/pmc04086092-21-9-19
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Biotechnology Information gene references into functions (generifs)
Constructing the mechanism-based disease–disease network based on the GWAS/OMIM/DEG records. (A) We combine the disease–gene connections derived from GWAS, OMIM and DEG records to build a comprehensive disease–gene network (D 1 , D 2 , D 3 and D 4 indicate diseases and G 1 , G 2 , G 3 and G 4 indicate genes). For each disease pair, we calculate the hypergeometric P -value to assess the significance of the number of genes involved in both diseases. We also add drug–treatment relations to complement further the database. (B) In the disease–disease network, when users click the edge between disease D 1 and D 2 , the web server generates the detailed network of disease D 1 and D 2 , including <t>DEG/GWAS/OMIM/GeneRIF/GeneWays</t> disease–gene relations and drug treatment/target relations.
Gene References Into Functions (Generifs), supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gene+reference+into+function+(generif)/gene+reference+into+function++generif+/pmc04049738-113-14-21
Average 90 stars, based on 1 article reviews
gene references into functions (generifs) - by Bioz Stars, 2026-11
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Image Search Results


Geneshot user interface for the PubMed querying tab. ( A ) Search engine input section. ( B ) Scatter plot of all publications that mention both the gene and the search terms against the normalized values (left); gene with and without search terms mentions over time (right). ( C ) Tables providing ranked lists of relevant genes based on GeneRIF (left), and predictions based on AutoRIF co-occurrence (right).

Journal: Nucleic Acids Research

Article Title: Geneshot: search engine for ranking genes from arbitrary text queries

doi: 10.1093/nar/gkz393

Figure Lengend Snippet: Geneshot user interface for the PubMed querying tab. ( A ) Search engine input section. ( B ) Scatter plot of all publications that mention both the gene and the search terms against the normalized values (left); gene with and without search terms mentions over time (right). ( C ) Tables providing ranked lists of relevant genes based on GeneRIF (left), and predictions based on AutoRIF co-occurrence (right).

Article Snippet: With some similarity to these previously published tools, Geneshot converts PubMed identifiers (PMIDs) returned for arbitrary search terms to ranked lists of genes using gene-publication associations such as those encoded within Gene References into Function (GeneRIF) , a manually curated resource maintained by the National Center for Biotechnology Information (NCBI).

Techniques:

Median area under the receiver operating characteristic curve (AUC) distributions for predicting genes associated with terms from 16 Enrichr gene set libraries. The libraries are labeled as data-driven and manually curated. Predictions were made using four gene–gene similarity matrices created from Tagger, GeneRIF, AutoRIF and ARCHS4.

Journal: Nucleic Acids Research

Article Title: Geneshot: search engine for ranking genes from arbitrary text queries

doi: 10.1093/nar/gkz393

Figure Lengend Snippet: Median area under the receiver operating characteristic curve (AUC) distributions for predicting genes associated with terms from 16 Enrichr gene set libraries. The libraries are labeled as data-driven and manually curated. Predictions were made using four gene–gene similarity matrices created from Tagger, GeneRIF, AutoRIF and ARCHS4.

Article Snippet: With some similarity to these previously published tools, Geneshot converts PubMed identifiers (PMIDs) returned for arbitrary search terms to ranked lists of genes using gene-publication associations such as those encoded within Gene References into Function (GeneRIF) , a manually curated resource maintained by the National Center for Biotechnology Information (NCBI).

Techniques: Labeling

Constructing the mechanism-based disease–disease network based on the GWAS/OMIM/DEG records. (A) We combine the disease–gene connections derived from GWAS, OMIM and DEG records to build a comprehensive disease–gene network (D 1 , D 2 , D 3 and D 4 indicate diseases and G 1 , G 2 , G 3 and G 4 indicate genes). For each disease pair, we calculate the hypergeometric P -value to assess the significance of the number of genes involved in both diseases. We also add drug–treatment relations to complement further the database. (B) In the disease–disease network, when users click the edge between disease D 1 and D 2 , the web server generates the detailed network of disease D 1 and D 2 , including DEG/GWAS/OMIM/GeneRIF/GeneWays disease–gene relations and drug treatment/target relations.

Journal: Nucleic Acids Research

Article Title: DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections

doi: 10.1093/nar/gku412

Figure Lengend Snippet: Constructing the mechanism-based disease–disease network based on the GWAS/OMIM/DEG records. (A) We combine the disease–gene connections derived from GWAS, OMIM and DEG records to build a comprehensive disease–gene network (D 1 , D 2 , D 3 and D 4 indicate diseases and G 1 , G 2 , G 3 and G 4 indicate genes). For each disease pair, we calculate the hypergeometric P -value to assess the significance of the number of genes involved in both diseases. We also add drug–treatment relations to complement further the database. (B) In the disease–disease network, when users click the edge between disease D 1 and D 2 , the web server generates the detailed network of disease D 1 and D 2 , including DEG/GWAS/OMIM/GeneRIF/GeneWays disease–gene relations and drug treatment/target relations.

Article Snippet: The Disease and Gene Annotation (DGA) database uses the Gene Reference Into Function (GeneRIF) from the National Center for Biotechnology Information (NCBI), Disease Ontology (DO) and molecular interaction networks to construct disease–gene, gene–gene and disease–disease relations ( ).

Techniques: Derivative Assay

Diseases pairs sharing more involved genes are more likely to have disease comorbidity. The statistical significance ( P- value) of the connection between two diseases is assessed by a hypergeometric test on shared genes derived from each individual data source of GWAS, OMIM, DEG, GeneRIF and GeneWays. We used various P -value thresholds (x axis) to select significant disease–disease connections for each data source, and then calculated the fraction (y axis) of those disease–disease connections that overlap with the disease comorbidity connections.

Journal: Nucleic Acids Research

Article Title: DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections

doi: 10.1093/nar/gku412

Figure Lengend Snippet: Diseases pairs sharing more involved genes are more likely to have disease comorbidity. The statistical significance ( P- value) of the connection between two diseases is assessed by a hypergeometric test on shared genes derived from each individual data source of GWAS, OMIM, DEG, GeneRIF and GeneWays. We used various P -value thresholds (x axis) to select significant disease–disease connections for each data source, and then calculated the fraction (y axis) of those disease–disease connections that overlap with the disease comorbidity connections.

Article Snippet: The Disease and Gene Annotation (DGA) database uses the Gene Reference Into Function (GeneRIF) from the National Center for Biotechnology Information (NCBI), Disease Ontology (DO) and molecular interaction networks to construct disease–gene, gene–gene and disease–disease relations ( ).

Techniques: Derivative Assay

Disease pairs sharing more genes are more likely to have the same drug treatment. The statistical significance ( P -value) of the connection between two diseases is assessed by a hypergeometric test on shared genes derived from each individual data source of GWAS, OMIM, DEG, GeneRIF and GeneWays. We used various P -value thresholds (x axis) to select significant disease–disease connections for each data source, and then calculated the fraction (y axis) of the disease–disease connections in which both diseases can be treated by the same drug(s).

Journal: Nucleic Acids Research

Article Title: DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections

doi: 10.1093/nar/gku412

Figure Lengend Snippet: Disease pairs sharing more genes are more likely to have the same drug treatment. The statistical significance ( P -value) of the connection between two diseases is assessed by a hypergeometric test on shared genes derived from each individual data source of GWAS, OMIM, DEG, GeneRIF and GeneWays. We used various P -value thresholds (x axis) to select significant disease–disease connections for each data source, and then calculated the fraction (y axis) of the disease–disease connections in which both diseases can be treated by the same drug(s).

Article Snippet: The Disease and Gene Annotation (DGA) database uses the Gene Reference Into Function (GeneRIF) from the National Center for Biotechnology Information (NCBI), Disease Ontology (DO) and molecular interaction networks to construct disease–gene, gene–gene and disease–disease relations ( ).

Techniques: Derivative Assay

Disease connections with drug treatment implications. (A) PSMB5 is a DEG for both hemorrhagic disorders and multiple myeloma, and PSMB5 also has GeneRIF association with multiple myeloma. (B) Arthritis and Crohn disease are associated with TNF based on the GWAS and GeneRIF records. Thalidomide is an immunomodulatory drug that targets TNF and can treat both arthritis and Crohn diseases. Adalimumab also targets TNF and can treat arthritis, suggesting its potential treatment of Crohn disease.

Journal: Nucleic Acids Research

Article Title: DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections

doi: 10.1093/nar/gku412

Figure Lengend Snippet: Disease connections with drug treatment implications. (A) PSMB5 is a DEG for both hemorrhagic disorders and multiple myeloma, and PSMB5 also has GeneRIF association with multiple myeloma. (B) Arthritis and Crohn disease are associated with TNF based on the GWAS and GeneRIF records. Thalidomide is an immunomodulatory drug that targets TNF and can treat both arthritis and Crohn diseases. Adalimumab also targets TNF and can treat arthritis, suggesting its potential treatment of Crohn disease.

Article Snippet: The Disease and Gene Annotation (DGA) database uses the Gene Reference Into Function (GeneRIF) from the National Center for Biotechnology Information (NCBI), Disease Ontology (DO) and molecular interaction networks to construct disease–gene, gene–gene and disease–disease relations ( ).

Techniques: