Sentence examples for free workflow from inspiring English sources

We describe an implementation of a free workflow technology software suite (available at http://code.google.com/p/healthflow) and its application in the domain of clinical decision support.

PCR-free libraries represent an improvement over the standard Illumina library preparation method as they result in more even sequence coverage [ 4] and are included here alongside libraries prepared with PCR in order to enable comparison to PacBio which has an amplification free workflow.

The lack of a large overlap in the outputs of the standard label-free workflow and our untargeted isotopic labeling analysis highlights the complementarity of the two approaches.

Recently, we have developed a label-free workflow which allows multiple quantitative comparisons of cellular systems [ 9, 28] and enables an unbiased analysis of protein aggregates from primary cells.

The spiked standard dataset has been deposited to the ProteomeXchange repository with the identifier PXD001819 and can be used to benchmark other label-free workflows, adjust software parameter settings, improve algorithms for extraction of the quantitative metrics from raw MS data, or evaluate downstream statistical methods.

Questetra, which says their suite is especially interesting for companies with 20 to 200 employees, offers a self-hosted (downloadable) edition and an SaaS solution for $10 per user per month (there's also a trial version and a number of free sample workflows).

Samples from each point in the matrix were subjected to the label-free quantitative workflow described above on a Synapt HDMS.

We recently developed a gel-free, proteomic workflow for relative quantification of proteins using iTRAQ labelling and tandem MS for analysis of samples such as conditioned media or plasma/serum.

This work described a quantitatively robust label-free phosphoproteomic workflow capable of analyzing relatively small amounts (100s of micrograms) of sample directly from any biological matrix, including human tissue and biological fluids.

Lastly, a set of semantic rules have been defined (in plain text) modulating the structure of the file for (i) label-free intensity workflows, (ii) label-free spectral counting workflows; (iii) MS labelling techniques, such as SILAC and (iv) MS tagging approaches, such as iTRAQ [51] or TMT [52].

Here, we used a proteomic standard composed of an equimolar mixture of 48 human proteins (Sigma UPS1) spiked at different concentrations into a background of yeast cell lysate to benchmark several label-free quantitative workflows, involving different software packages developed in recent years.