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NanoLC-MS/MS identification of the proteins from the whole EPP is presented in Additional file 1: Tables S4 and S5 and the ten extracellular proteins identified with maximal scores (Top-10) using Uniprot database are gathered in Table 3.
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An experimental database was gathered from the available literature and processed to obtain the training and testing databases for the derivation of the closed-form solution through GEP.
An experimental database is gathered through the known modified version of the ASTM D2344 short beam test and the results show a surprising proximity of results for the three different fiber architectures for the same composite system.
The material for the database was gathered using a binaural audio recording setup, where a person is wearing the microphones in his/her ears during the recording.
The cellular localization for each protease and substrates (proteins in the structural database) were gathered from GO terms [40] at the PDB site and verified again at http://www.uniprot.org/.org/
Data points that could not be collected via the clinical database were gathered through manual chart review by a collaborator not directly involved in data analysis.
The most significant hits from the proteins isolated from the 2D-gels, in terms of score and sequence coverage from both databases, are gathered in Additional file 1: Table S1.
The databases were gathered in an uncontrolled indoor office environment using two mobile robots and a standard camera.
We created a manually annotated database (Targeted Therapy Database, TTD) where the relevant data are gathered in a formal representation that can be computationally analyzed.
The objective of the present project is to create a manually annotated database where the relevant data are gathered in a formal representation that can be computationally analyzed for the identification of therapeutic hypotheses based on the available evidence and for ranking treatments based on the molecular profile of single patients.
But the systems collect records on every license plate they encounter — whether or not they are on hot lists — meaning that time and location data are gathered in databases that can be searched by police.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com