We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software R package for identifying and characterizing continuous developmental trajectories in single cell data. Cell lineage and pseudotime inference for single-cell transcriptomics.
Software tool for generating multi omics data with disease status. Simulates genomics (SNPs and copy number variations), epigenomics ( whole genome bisulphite sequencing), transcriptomics ( RNA seq), and proteomics (normalized reverse phase protein array) data at the whole genome level. Available as desktop and web application version.
Software tools for next generation sequencing based bulked segregation analysis for outbreeding species including fruit trees such as apple or cirtus. Used to improve gene mapping efficiency of next generation sequencing based segregant analysis in outbreeding species and realize rapid candidate gene mining based on multi-omics data.
Manually created neuroanatomically labeled MRI brain scans with unique subjects, 5 subjects scanned twice.
University in Turin in Piedmont region of north western Italy. One of the oldest universities in Europe, and continues to play an important role in research and training.
Software R package to execute next generation sequencing computing applications, e.g. reads mapping and counting, wrapped in docker containers.
Software package for reproducible classification analysis of single cell sequencing data.
Software tool for data management in clinical studies to improve care for patients with Traumatic Brain Injury (TBI). Used to search and find study variables with the associated information and export study data for further analysis.
Software tool for molecular characterization and quantification of lipid species from electrospray mass spectrometry data. Enables lipid profiling by searching parent and fragment ion masses against lipid fragment database and reports numerical and graphical output for various lipid molecular species, lipid classes, fatty acids, and long chain bases.
Gene expression data portal developed for stem cell community, containing public gene expression datasets derived from microarray, RNA sequencing and single cell profiling technologies. Portal to visualize and download curated stem cell data. Provides easy to use and intuitive tools for biologists to visually explore data, including interactive gene expression profiles, principal component analysis plots and hierarchical clusters, among others.
Portal provides access to data and web based applications created for benefit of global research community by Allen Institute for Brain Science. Projects to ombine genomics with neuroanatomy by creating gene expression maps for mouse and human brain. Mouse Brain Atlas, Human Brain Atlas, Developing Mouse Brain Atlas, Developing Human Brain Atlas, Mouse Connectivity Atlas, Non-Human Primate Atlas, and Mouse Spinal Cord Atlas and three related projects Glioblastoma, Mouse Diversity, and Sleep data banks, are used to advance various fields of science especially in neurobiological diseases.
Cellular Taxonomy of Mouse Visual Cortex by analyzing gene expression patterns at single cell level. Construction of cellular taxonomy of one cortical region, primary visual cortex, in adult mice done on basis of single cell RNA sequencing.
Atlas of brain cell types, derived from single cell RNA-Seq data from Linnarsson Lab. Can be browsed by taxon, cell type, tissue, and gene, with information on enriched genes, specific markers, anatomical location and more. Single cell gene expression atlas of mouse nervous system.
Product name Anti-Bikunin antibody See all Bikunin primary antibodies Description Rabbit polyclonal to Bikunin Host species Rabbit Tested applications Suitable for: WB, IHC-Pmore details Species reactivity Reacts with: Mouse, Rat, Human Immunogen Recombinant full length protein corresponding to Human Bikunin aa 20-352. Mature protein. Sequence: GPVPTPPDNIQVQENFNISRIYGKWYNLAIGSTCPWLKKIMDRMTVSTLV LGEGATEAEISMTSTRWRKGVCEETSGAYEKTDTDGKFLYHKSKWNITME SYVVHTNYDEYAIFLTKKFSRHHGPTITAKLYGRAPQLRETLLQDFRVVA QGVGIPEDSIFTMADRGECVPGEQEPEPILIPRVRRAVLPQEEEGSGGGQ LVTEVTKKEDSCQLGYSAGPCMGMTSRYFYNGTSMACETFQYGGCMGNGN NFVTEKECLQTCRTVAACNLPIVRGPCRAFIQLWAFDAVKGKCVLFPYGG CQGNGNKFYSEKECREYCGVPGDGDEELLRFSN Database link: P02760
Product name Anti-Prostaglandin D Synthase (Lipocalin) antibody [EP12357] See all Prostaglandin D Synthase (Lipocalin) primary antibodies Description Rabbit monoclonal [EP12357] to Prostaglandin D Synthase (Lipocalin) Host species Rabbit Tested applications Suitable for: WB, IHC-P, ICC/IFmore details Species reactivity Reacts with: Mouse, Rat, Human Immunogen Synthetic peptide within Human Prostaglandin D Synthase (Lipocalin) aa 100 to the C-terminus. The exact sequence is proprietary. Database link: P41222 (Peptide available as ab188544) Positive control HepG2 whole cell lysate (ab7900); Human fetal brain lysate; Human prostate tissue; HepG2 cells. General notes Our RabMAb® technology is a patented hybridoma-based technology for making rabbit monoclonal antibodies. For details on our patents, please refer to RabMab® patents.
Resource of targeted proteomics assays to detect and quantify proteins in complex proteome digests by mass spectrometry. Used to quantify the complete human proteome.
Software tool as a framework for fitting and describing connectivity patterns between regions that is a simple extension from the current population receptive field models in the visual neuroscience literature. The connectivity from each voxel in a designated seed region to a mapping region is modeled as a 3-dimensional Gaussian, providing location parameters and spread parameters. This allows the direct description of the relative mapping from one region to another.
Software tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. Capable to estimate gene database coverage by raw reads and de novo quality assessment using third party software.
Software tool for analysis of variant antigens in African trypanosomes. Used for quantitative analysis of antigenic diversity in systems data of genomes, transcriptomes, and proteomes, called Variant Antigen Profiling to understand how antigenic diversity relates to clinical outcome, how antigen genes may be used as epidemiological markers of virulence, and in measuring gene expression during experimental infections.