MalaCards: an integrated compendium for diseases and their annotation
about
Bioinformatic analysis reveals the expression of unique transcriptomic signatures in Zika virus infected human neural stem cellsBiological databases for human researchEvaluation of database-derived pathway development for enabling biomarker discovery for hepatotoxicityThe Human Phenotype Ontology in 2017The human disease network in terms of dysfunctional regulatory mechanismsMalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured searchHerDing: herb recommendation system to treat diseases using genes and chemicalsDisGeNET: a discovery platform for the dynamical exploration of human diseases and their genesA genomic portrait of haplotype diversity and signatures of selection in indigenous southern African populationsMedial prefrontal cortex: genes linked to bipolar disorder and schizophrenia have altered expression in the highly social maternal phenotype.MOPED enables discoveries through consistently processed proteomics data.A Web-based database of genetic association studies in cutaneous melanoma enhanced with network-driven data exploration tools.PANDA: pathway and annotation explorer for visualizing and interpreting gene-centric data.Estimation of isoform expression in RNA-seq data using a hierarchical Bayesian model.GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data.Process Pharmacology: A Pharmacological Data Science Approach to Drug Development and TherapyThe GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses.DiseaseConnect: a comprehensive web server for mechanism-based disease-disease connections.Regulation of gene expression by the BLM helicase correlates with the presence of G-quadruplex DNA motifs.Population history and genomic signatures for high-altitude adaptation in Tibetan pigsA pan-cancer modular regulatory network analysis to identify common and cancer-specific network components.Addiction and reward-related genes show altered expression in the postpartum nucleus accumbens.Generation of a neuro-specific microarray reveals novel differentially expressed noncoding RNAs in mouse models for neurodegenerative diseasesMolecular profiling of thyroid cancer subtypes using large-scale text mining.Sparse expression bases in cancer reveal tumor drivers.Genome-wide analysis of copy number variation identifies candidate gene loci associated with the progression of non-alcoholic fatty liver diseasePhenUMA: a tool for integrating the biomedical relationships among genes and diseases.The physiological role of drug transporters.Unraveling novel TF-miRNA regulatory crosstalk in metastasis of Soft Tissue SarcomaNetwork-based prediction and knowledge mining of disease genes.DeCoaD: determining correlations among diseases using protein interaction networks.Database of RNA binding protein expression and disease dynamics (READ DB).Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathwaysIdentifying Network Perturbation in Cancer.DNetDB: The human disease network database based on dysfunctional regulation mechanismVarElect: the phenotype-based variation prioritizer of the GeneCards Suite.Integrative analysis of human protein, function and disease networks.Transcriptomic dynamics of breast cancer progression in the MMTV-PyMT mouse model.Blast traumatic brain injury-induced cognitive deficits are attenuated by preinjury or postinjury treatment with the glucagon-like peptide-1 receptor agonist, exendin-4.Identification of potential therapeutic targets for papillary thyroid carcinoma by bioinformatics analysis.
P2860
Q24570070-a1766f81-4379-c2fa-78d9-84482575eff5Q26862676-19D66A18-141F-4A7C-8795-E470C60F73D2Q27027301-506B8301-B50C-4B6F-BF4C-5C708BD8D9D2Q27927007-E96A228D-4C9B-49D4-8A93-4E59D84E96FDQ28550156-4FDD4C76-88D1-43B9-81E1-136F0483D0DDQ28584456-14B2D440-D3EC-459E-A7C7-2239DA341033Q28602627-8457BE08-4F05-43F8-955E-AC11473D8CDEQ28649649-F902FBF8-6076-485D-81DC-5592B8E5E617Q28651522-8C516C01-D880-4072-8922-D3A04972A57BQ30575713-CB80344A-FB27-4530-8E3A-630FB82A7CDAQ30718070-D9C07678-F0B0-4577-8D6F-929538C6A089Q30868456-C3F4E759-679D-4B74-B005-052E33C624F4Q30964474-21138652-6BAF-4547-96E8-B998DF161EE0Q30994871-B79F544D-E9D9-4698-899F-3FA87C41F3ACQ31059199-06AC0AF6-B03B-4984-870B-FA0893298F5EQ31074800-0B990028-7BE4-4762-9AB8-3384AAF2A806Q31109176-8A2CB839-3F48-49AC-94B2-22D1B13DB4B5Q33860701-8F32397D-A71C-4248-ADDA-DC687B82F267Q33919766-5A0D10B0-46C9-4873-89FD-B84B3BB64AE6Q34340373-D2E46095-59AC-4D18-A1C5-E94739269EEDQ34421629-CE9F5D4A-5311-4230-BCA0-719F2D3639EDQ34454894-40DC88FC-348C-4BE1-89FD-CCD8190C277DQ34547209-7E9FFEC3-F7E7-41B9-8356-7808CF8A82D4Q34914970-2B2BCE8E-56B5-42F5-9E7D-9CE06DC92E89Q35088941-CB4402CD-6253-43DC-9753-D0B78363EC66Q35152098-525EFECB-3E8E-41CE-8A13-AE954EBB8CBDQ35446691-249D710E-75F8-44FC-B80B-98BB0E4BB0A6Q35563701-578EDAE8-4E36-4377-9DFA-3E62B65899CBQ35616920-259E7267-4FFD-4F93-BE74-A0AFE448A827Q35653174-C911EA67-4156-47B5-8E06-599396E06170Q35654878-99A41E79-A88B-4E62-A28F-704D3CC38929Q35713972-2CE934CF-B035-4901-8AB9-9772E4870E07Q35803992-5C384E2A-91CE-4CB6-9ACF-5165FBD95CE7Q36008410-F719D3D4-9A64-45F0-96DB-4D62F16F4A9BQ36025424-96B80387-BB06-41E3-94EE-E003D16E9D22Q36064361-04CC0C80-46D3-4E38-9989-4A1F0725B462Q36099626-F5EF37A0-BC73-41C2-A308-E70A9F2D60D4Q36284318-B16BC2AC-1472-4E4F-8856-424EE05C7925Q36471528-6C561D6A-8666-495F-A229-59C2A6282F79Q36502331-739EE84C-18A6-4DAB-8058-FE0524EDA648
P2860
MalaCards: an integrated compendium for diseases and their annotation
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
MalaCards: an integrated compendium for diseases and their annotation
@ast
MalaCards: an integrated compendium for diseases and their annotation
@en
MalaCards: an integrated compendium for diseases and their annotation
@nl
type
label
MalaCards: an integrated compendium for diseases and their annotation
@ast
MalaCards: an integrated compendium for diseases and their annotation
@en
MalaCards: an integrated compendium for diseases and their annotation
@nl
prefLabel
MalaCards: an integrated compendium for diseases and their annotation
@ast
MalaCards: an integrated compendium for diseases and their annotation
@en
MalaCards: an integrated compendium for diseases and their annotation
@nl
P2093
P2860
P50
P3181
P356
P1433
P1476
MalaCards: an integrated compendium for diseases and their annotation
@en
P2093
C Paul Morrey
Michal Twik
Noa Rappaport
Yaron Guan-Golan
P2860
P304
P3181
P356
10.1093/DATABASE/BAT018
P407
P577
2013-01-01T00:00:00Z