Development of novel molecular or phenotypic databases

这一领域目前的举措包括前面提到的RNA测序和DNA甲基化举措。此外，我们还将添加来自质量分光光度法的组蛋白表达水平数据，以及可能的细胞迁移参数。对同源重组水平的评估正在计划中。在时间和机会允许的情况下，将探索其他形式的数据。然后，这些数据集将被合并到CellMiner中，以便科学公众能够访问和使用。这将包括每个被开发成自己的“细胞系签名”以便于与其他数据类型进行比较，以及将其纳入我们的“模式比较”工具以允许其与我们的其他68,970种表型和分子模式进行集成和比较。

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.