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The development of large databases of biological information, the improvement of information retrieval technology, and the ability to integrate data from different biological sources all of which fall under the umbrella of bioinformatics gave scientists the power to explore the immense volumes of data generated by their research.
Quantifying data and results from body hacks and unifying platforms to aggregate raw data from different biological sensors, for example, seem like promising areas to explore.
As expected, tag sequence data from different biological samples were properly discriminated by the 4-bp index sequences.
This example exemplifies how the reconstruction process can drive the reconciliation of isolated data from different biological databases.
In addition, a heatmap analysis showed that the data from different biological replicates at each time point were reproducible (Additional file 1B).
Additionally, this method could be readily applied to metabolic profiling data from different biological systems or to other profiling datasets such as those acquired in proteomics and transcriptomics.
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These organisms were labeled manually by collecting information from different biological data sources.
We found that the pairwise correlations of tERCs are sample independent, indicating that the array data obtained from different biological samples can be treated as technical replicates in analysis of tERCs.
Through the use of this administrative site, new data gathered from different biological databases can be uploaded to the server.
Data were collected from different biological tissues and a special tissue-equivalent phantom with similar mechanical properties, using a 1-DOF mechanical testing system instrumented with a 6-DOF force/torque (F/T) sensor.
We construct features from different biological sources such as microarray expression data and disease-related textual data.
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