To our knowledge, this is the first study to use a comprehensive in silico approach for genetic data mining and regulatory region identification to direct SNP prioritization studies of the KLK15 gene and to analyze the association of KLK15 polymorphisms with ovarian cancer survival.
In this context, this review highlights recent advances in computational resources for secondary metabolites with emphasis on genome mining, compound identification and dereplication as well as databases.
This new software provides a feature-rich set of comparative genomics tools for inspection of multiple genome structures, mining of orthologous gene families and identification of potential vaccine candidates.
Californium-252 is used commercially as a reliable, cost-effective neutron source for prompt gamma neutron activation analysis (PGNAA) of coal, cement and minerals, as well as for detection and identification of explosives, land mines and unexploded military ordnance.
This integration will allow more efficient data mining and facilitate decision-making regarding hit identification, lead optimization and drug development.
In genome mining, the identification of clusters likely involved in secondary metabolism, such as NRPS and PKS, have been used as a measure of the potential for finding novel natural bioactive compounds, including antibiotics [ 63].
This paper utilizes radio frequency identification (RFID) technology, data mining, and simulation-based optimization to develop a production planning and control system for a panelized home production facility.
Here we present a machine-learning text mining approach for identification and tagging of protein mentions that play a TF role in a given context to support the curation process.
Recent studies using data mining for identification of blood based cancer biomarkers showed the successfulness of this approach [11], [12].
