Sentence examples for benchmarks were previously from inspiring English sources

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These benchmarks were previously evaluated and approved for publications in the ICSBEP and IRPhE handbooks.

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The effects of false distance constraints (MOHCA-seq hits that are inconsistent with the crystallographic structure in our benchmarks) were reported previously in our tables, which were provided as supplementary files, but they were not discussed thoroughly in the main text.

Although microarrays12,13,14,15 and RNA-Seq6,16,17 were previously benchmarked for differential expression and prediction model development, preprocessing methods for RNA-Seq have continued to evolve17,18, and direct comparisons to targeted expression profiling by RNA-Seq for genome-wide transcription are not available.

Briefly, protein kinases are identified using a combination of profile-based search methods such as PSI-BLAST [113] and RPS-BLAST [114] using multiple profiles (MulPSSM) [115], [116] and HMMER search [117], which have been previously benchmarked and has been used in our earlier kinome analysis for several other genomes [118], [119], [120], [121].

MulPSSM approach has been previously benchmarked and has been used in our previous kinome analysis for several other genomes [ 3, 5, 17, 20, 21].

These programs have been previously benchmarked [ 122, 129, 130] and we have used a stringent cutoff for e-values (0.0005 in PSI_BLAST, 10-5 IMPALAand and 0.01 for HMMer) for identifying homologues of kinases.

The specific sRNA mRNA interactions appear in the table in Section 3. Since RNAplex was previously benchmarked on a range of tools (Tafer and Hofacker, 2008; Tafer et al., 2011), we only compare RIsearch (both parameter sets) with RNAplex (with and without taking into account accessibility).

Both datasets have been previously used as benchmarks: Potapov-DB for Prethermut (Tian et al., 2010) and PoPMuSiC-DB for PoPMuSiC-2.0 (Dehouck et al., 2009).

He was previously an EIR at Benchmark and was was the former Chief Technologist at Yahoo.

This was previously recommended after thorough benchmarking for thermochemistry, kinetics, and non-covalent interactions.

MDQL has been previously tested on several multi-objective optimization benchmark problems with promising results [C.

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