Normalized NRV simulation execution time versus allocated CPU cores count. حسب Thomas Couppey (19118460)

The effects of variant count, sample count, and number of groups being distinguished on the execution time and maximum RAM usage of krisp_vcf. حسب Zachary S. L. Foster (3769648)

The effects of amplicon (k-mer) length, sample count, and mean genome length on the execution time and maximum RAM usage of krisp_fasta. حسب Zachary S. L. Foster (3769648)

gmxapi usage examples. حسب M. Eric Irrgang (4487278)

Comparison of execution times between the two methods. حسب Evandro Bernardes (14100259)

"…<p>The Python module <i>timeit</i> was used to check the execution time required to convert the whole data set 500 times on an Intel^® Core^™ i3-4030U CPU with a 1.90GHz clock speed.…"

Speed gain obtained by parallelization in EasyParallel and its comparison with Structure_threader and Parallelnewhybrid. حسب Honggang Zhao (7007438)

Computational time (s) required to complete STRUCTURE and NEWHYBRIDS analyses in series compared to in parallel using EasyParallel, Structure_threader, and Parallelnewhybrid. حسب Honggang Zhao (7007438)

FeO_s: An Open-Source Framework for Equations of State and Classical Density Functional Theory حسب Philipp Rehner (9404883)

"…Equations of state can be implemented in Rust, yielding performant code, or as a Python class, which is useful for prototyping and with less emphasis on execution speed. …"

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…The `main.py` file is the file to be executed using a command of the type `python main.py`. …"

Behavioural machine activity for benign and malicious Win7 64-bit executables حسب Peter Burnap (19078697)

"…</li><li>The virtual machine used 2GB RAM, 25 GB storage, and a single CPU core running 64-bit Windows 7.</li></ul><p><br></p><p><strong>Dataset 2:</strong></p><ul><li>filename = "data_2.csv"</li><li>2345 benign samples </li><li>2286 malicious samples</li><li>Up to 20 seconds execution per file</li><li>The data was collected in a VirtualBox[1] virtual machine using Cuckoo Sandbox[2] with a custom package written in the python library, Psutil[4] to collect the machine activity data. …"

Table_1_SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data.DOCX حسب Chang Li (133800)

"…The Python script can classify variants by region in 53 s compared to 166 s for the Perl script in a test sample run on a Latitude 7480 Desktop computer with 8GB RAM and an Intel Core i5-6300 CPU @ 2.4Ghz. …"

Data_Sheet_1_SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data.docx حسب Chang Li (133800)

"…The Python script can classify variants by region in 53 s compared to 166 s for the Perl script in a test sample run on a Latitude 7480 Desktop computer with 8GB RAM and an Intel Core i5-6300 CPU @ 2.4Ghz. …"

Performance. حسب Sophie Theis (4126453)

FULL fingerprint calculation times for docking poses of small molecule ligands of various sizes (guanidine, ibuprofen, and sildenafil) to guanidine III riboswitch (RNA with 39 resi... حسب Natalia A. Szulc (12733802)

"…<p>The fingeRNAt executed as a python script and as a singularity image. …"

Auxiliary and validation data for SAGEA-fluid حسب Weihang Zhang (17626761)

"…Building upon the core framework and data post-processing capabilities of SAGEA, SAGEA-fluid supports the integration of multi-source surface fluid datasets for geophysical effect estimation. …"

NanoDB: Research Activity Data Management System حسب Lorenci Gjurgjaj (19702207)

"…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …"

Expanding Adverse Outcome Pathway knowledge by creating AOP-Wiki RDF with semantic annotations to facilitate risk assessment of chemicals. حسب Marvin Martens (4338253)

"…We parsed the AOP-Wiki knowledge with Python 3.5 and the ElementTree XML API and converted it into a semantic web RDF format, which allows for accurate description with ontological annotations, including the AOPO, CHEMINF, and Dublin Core. …"

Least Bridges Graphs حسب Richard Frost (14064363)

"…</li><li><ul><li>The provided functions are for execution within the Mathematica notebook environment. …"

Data and code for: Automatic fish scale analysis حسب Christian Vogelmann (21646472)

"…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …"

Dataset for: Phylotranscriptomics reveals the phylogeny of Asparagales and the evolution of allium flavor biosynthesis, Nature Communications，DOI：10.1038/s41467-024-53943-6 حسب Xiao-Xiao Wang (2447920)

"…</p><p dir="ltr">For paired-end reads:</p><p dir="ltr"><i>python2 filter_fq.py taxonID_1.fq.gz taxonID_2.fq.gz Magnoliophyta both num_cores output_dir clean</i></p><p dir="ltr">For single-end reads:</p><p dir="ltr"><i>python2 filter_fq.py taxonID_1.fq.gz Magnoliophyta both num_cores output_dir clean</i></p><p><br></p><p dir="ltr"><b>Step 2: Transcriptome assembly using Trinity (https://github.com/trinityrnaseq/trinityrnaseq)</b></p><p dir="ltr"><i>python2 trinity_wrapper.py taxonID_1.overep_filtered.fq.gz taxonID_2.overep_filtered.fq.gz taxonID num_cores max_memory_GB stranded output_dir</i></p><p><br></p><p dir="ltr"><b>Step 3: Get the longest transcript in each gene from the Trinity assembly and translate transcripts to CDS and PEP sequences</b></p><p dir="ltr">Execute the script <i>get_longest_isoform_seq_per_trinity_gene.pl</i> to get the longest transcripts.…"