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Database Institute / Organization Alteration Types Primary Source [t 1] Processed Data [t 2] Organisms Cell lines [t 3] Public Data [t 4] Restricted Data [t 5]; The BioExpress® Oncology Suite from Ocimum Bio Solutions contains gene expression data from primary, metastatic, and benign tumor samples, and normal samples, including matched adjacent controls.
Originally the cell line was named MCF-7/ADR-RES; it was renamed together with the change in classification. [8] Two brain cancer cell lines, SNB-19 and U251, were discovered to come from the same person. [9] This makes a mixup likely. A 61st cell line, MDA-N, has been confirmed to being derived from the misclassified MDA-MB-435 cell line. [7]
Scientists study the behaviour of isolated cells grown in the laboratory for insights into how cells function in the body in health and disease. Experiments using cell culture are used for developing new diagnostic tests and new treatments for diseases. This is a list of major breast cancer cell lines that are primarily used in breast cancer ...
Cellosaurus is an online knowledge base on cell lines, which attempts to document all cell lines used in biomedical research. [1] It is provided by the Swiss Institute of Bioinformatics (SIB). It is an ELIXIR Core Data Resource [ 2 ] [ 3 ] as well as an IRDiRC's Recognized Resource. [ 4 ]
Cervical cancer gene database Ensembl : provides automatic annotation databases for human, mouse, other vertebrate and eukaryote genomes Ensembl Genomes : provides genome-scale data for bacteria, protists, fungi, plants and invertebrate metazoa, through a unified set of interactive and programmatic interfaces (using the Ensembl software platform)
A major goal of cancer genome sequencing is to identify driver mutations: genetic changes which increase the mutation rate in the cell, leading to more rapid tumor evolution and metastasis. [32] It is difficult to determine driver mutations from DNA sequence alone; but drivers tend to be the most commonly shared mutations amongst tumors ...
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The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.