Sentence examples similar to user friendly data analysis from inspiring English sources

Most are written in efficient programming languages such as Fortran or C, but often require additional code efforts to plug in to more user-friendly data analysis and/or visualization tools to ease interpretation and scientific insight.

We employed a user-friendly data analysis pipeline (khmer-protocols, see Methods) to perform de novo transcriptome assembly and annotation entirely in the cloud [ 43].

In the near future, we anticipate that rapidly falling sequencing costs and development of user-friendly data analysis tools will soon make RNA-Seq the preferred alternative for transcriptome studies.

The general availability of transcriptomics, proteomics and metabolomics platforms, together with the development of user-friendly data analysis solutions (Da Wei Huang and Lempicki, 2008; Medina et al., 2010) has boosted the adoption of high-throughput approaches towards the understanding of the relationships between the genome and the phenotype.

Although amplicons obtained by LM-PCR could be processed into sequencing libraries, we opted for microarray-based identification, which is more restrictive (being limited to the probes printed on the array) but has the major benefit of compatibility with an established, robust and user-friendly data analysis pipeline.

Design considerations of the application system included speed, flexibility and user-friendly data display and analysis.

Jam is a Java-based user-friendly data acquisition and analysis system developed for CAMAC-based nuclear physics experiments.

Challenges in data integration and synchronization remain, but, ultimately, this concept should provide real-time, user-friendly advanced data analysis that, when applied at the bedside, could improve treatment.

User-friendly data portals for single-cell analysis, such as Granatum, will become increasingly integral in the bench-to-bedside transition [61].

The web interface supports user-friendly data exploration and navigation.

Thus, we will provide user-friendly CLIP-seq data analysis pipelines for users, including pre-processing, mapping, peak calling and motif identification.