[LSDB Cross Search] 10 databases have been added to Life Science Database Cross Search
- Updates
- Cross search
Feb 16, 2021
The following database has been added to the search index of Life Science Database Cross Search.
| KAKEN | This is a database of Grant-in-Aid for Scientific Research. The database contains selected proposals, summary of research results, reports of research results, and self-evaluation reports. |
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| AMED Achievements | This site contains reports of research results, press releases, and other topics related to research results of AMED (Japan Agency for Medical Research and Development) research and development projects. |
| TF clone | The TF clone database provides the information of ORF clones (without STOP codons) of Arabidopsis transcription factors in the Gateway vector system. Also included in the database are RIKEN Arabidopsis Transcription Factor (RARTF) clones, based on TAIR10 gene annotation data, and other TF genes. Each entry contains the AGI code, Clone ID, ORF sequence, and gene annotation data. Users can search the TF clone database using keywords from TAIR10 annotations and the family name of the RARTF database, as well as the distribution information in the "Contact" tab. |
| MCG CNV Database | This database is called MCG CNV and provides copy number variant (CNV) and loss of heterozygosity (LOH) data. These have been detected by microarray analyses using MCG arrays and SNP arrays. The incidence of CNV and LOH in healthy Japanese is available. This is essential to assess the pathogenicity of CNV or LOH, and to differentiate between "pathogenic" and "benign" CNV, which is useful in patients with pathology due to cryptic genomic aberrations. |
| BGDB: Buckwheat Genome DataBase | BGDB is a genome database for Buckwheat. It provides a draft assembly sequence of the genome using short reads obtained by NGS, and information of predicted genes with annotation by BLAST analysis of the NCBI NR and/or TAIR 10 databases. The results of a domain search against InterPro are also available. |
| FiMSeA: Fishes of Mainland Southeast Asia | FiMSeA is a database about fishes of the mainland Southeast Asia. It contains information of fish specimens (Taxon, DNA information, Specimen preserved institute, Sampling location etc.) and digital-image photographs which obtained in Laos, Thailand, Cambodia, Vietnam, Malaysia and Japan. Users can search using a map, keywords or taxonomy trees. |
| AtMetExpress LC-MS | AtMetExpress LC-MS is a phytochemical atlas of Arabidopsis thaliana. Here, following two datasets are available; a dataset for phytochemical accumulation of many developmental stages and organs in Arabidopsis thaliana (AtMetExpress Development LC-MS) and a dataset of the composition of secondary metabolites among 20 Arabidopsis ecotypes (AtMetExpress 20 ecotypes LC-MS). Integrated clustering of transcriptome and metabolome data are also available. |
| PCIDB: PhytoChemical Interactions DB | PCIDB is a database to elucidate therapeutic effect of plants on human. It provides integrated data from KNApSAcK, ChEMBL, CTD, OMIM and KEGG DISEASE. Users can search data by KNApSAcK Metabolite ID/NAME or KNApSAcK Species. Users can also browse data from KNApSAcK Metabolite Activity, KNApSAcK Natural Activity and 83 phytochemical clusters. |
| REPAIRtoire: A database of DNA repair pathways | REPAIRtoire is a database for DNA damage and repair. The database contains the following types of information: 1) DNA damage linked to environmental mutagenic and cytotoxic agents, 2) pathways comprising individual processes and enzymatic reactions involved in the removal of damage, 3) proteins participating in DNA repair, 4) diseases correlated with mutations in genes encoding DNA repair proteins. REPAIRtoire provides also links to publications and external databases. |
| ChemTHEATRE | ChemTHEATRE is a database to deposit and visualize monitoring data of environmental contaminants, especially chemicals in organisms. The data were collected from published articles and reports by public institutions. Each dataset comprises measurement data, experimental methods (Instrument information, Extraction method, Clean-up method, etc.), and biological specimens (Instrument group, Name of instrument, Extraction method, Clean-up method, etc.). |
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