Exact(1)
In this project, we measured representative values from our cellular database.
Similar(59)
The UBM typically has hundreds of thousands of parameters and is trained on a very large amount of data (hundreds of hours of speech), which should include speech produced by a large number of individual speakers (in our case, the 2048-center diagonal-covariance UBM is trained on NIST SRE 2004, 2005, 2006, and 2008; Fisher; Switchboard-2; and Switchboard-Cellular databases).
We built RPdb (cellular reprogramming database) to collect cellular reprogramming information and make it easy to access.
Motivation: The Cellular Phenotype Database (CPD) is a repository for data derived from high-throughput systems microscopy studies.
As part of the Systems Microscopy Network of Excellence project, we have developed the Cellular Phenotype Database (CPD) for management of data derived from high-throughput phenotypic studies.
To fill this gap, we collected experimentally verified reprogramming records from published articles and built RPdb (cellular reprogramming database), which is proposed to facilitate the new prescription screening and assist with investigating the mechanism of cellular reprogramming.
We first retrieved the subcellular localization data of Arabidopsis genes from the SUB-cellular location database for Arabidopsis proteins (SUBA database) (Heazlewood et al. 2007).
The list of differentially expressed genes in each module was correlated to signaling pathway and cellular process databases to determine if specific physiological processes were associated with particular modules (see Methods).
The LOCATE sub-cellular localisation database indicates that of all human proteins currently analysed, ∼40% are either secreted from the cell, located within the lumen/membranes of cytoplasmic vesicular structures (excluding mitochondria), or are plasma membrane proteins (http://locate.imb.uq.edu.au/).imb.uq.edu.au/
We used the GFP data from the SUB-cellular location database for Arabidopsis proteins (SUBA) database (Heazlewood et al. 2005) plus results from a literature search for papers on fluorescent protein localization experiments published since the last update of SUBA (see Materials and Methods for details).
A dendogram tree (Figure 4) was constructed from the presence/absence of the respective genes of each virus and cellular organisms in database of Clusters of Orthologous Groups (COGs) related to the DNA processing functions.
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