Development of novel molecular or phenotypic databases

目前在这一领域的倡议包括前面提到的RNA测序和DNA甲基化倡议。此外，我们将增加从质谱法获得的组学蛋白表达水平数据，以及可能的细胞迁移参数。正在计划对同源重组水平进行评估。如果时间和机会允许，将探索其他形式的数据。然后，这些数据集将以这样一种方式纳入CellMiner，以便科学公众可以访问和使用。这将包括每个被开发成自己的“细胞系签名”，以便与其他数据类型进行比较，并将其纳入我们的“模式比较”工具，以便与其他68,970种表型和分子模式进行整合和比较。

Current initiatives in this area include the previously mentioned RNA sequencing and DNA methylation initiatives. In addition, we will add omic protein expression level data from mass spectrophotometry, and possibly parameters of cell migration. Assessment of levels of homologous recombination are being planed. Additional forms of data will be explored as time and opportunity permits. These datasets will then be incorporated into CellMiner in such a fashion as to make then accessible and usable to the scientific public. This will include each being developed into its own "Cell line signature" to facilitate its comparison to other data types, and its inclusion into our "Pattern comparison" tool to allow its integration with and comparison to our other 68,970 phenotypic and molecular patterns.