hitrace matlab package (MathWorks Inc)

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MathWorks Inc hitrace matlab package

Data-guided RNA secondary structure prediction of medaka and human CR4/5 domain. SHAPE (1M7) reactivity data were used as weights to guide RNA structure prediction for medaka (A) and human (B) CR4/5 domains. Using the Biers package of <t>HiTRACE,</t> RNAstructure models of each RNA domain were calculated with 100 bootstrap replicates, while varying the SHAPE slope parameter in intervals of 0.2 kcal/mol. The abundance of each helical RNA element (Confidence) derives from the bootstrap replicates and is plotted for each respective value of SHAPE slope. Ref. Pin refers to Reference hairpin.

Hitrace Matlab Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 33 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+function+dtw(s%2Cc%2Cmaxsamp)/MATLAB+Report+Generator/pmc07668248-458-6-7
Average 94 stars, based on 33 article reviews

hitrace matlab package - by Bioz Stars, 2026-11

94/100 stars

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1) Product Images from "Folding heterogeneity in the essential human telomerase RNA three-way junction"

Article Title: Folding heterogeneity in the essential human telomerase RNA three-way junction

Journal: RNA

doi: 10.1261/rna.077255.120

Figure Legend Snippet: Data-guided RNA secondary structure prediction of medaka and human CR4/5 domain. SHAPE (1M7) reactivity data were used as weights to guide RNA structure prediction for medaka (A) and human (B) CR4/5 domains. Using the Biers package of HiTRACE, RNAstructure models of each RNA domain were calculated with 100 bootstrap replicates, while varying the SHAPE slope parameter in intervals of 0.2 kcal/mol. The abundance of each helical RNA element (Confidence) derives from the bootstrap replicates and is plotted for each respective value of SHAPE slope. Ref. Pin refers to Reference hairpin.

Techniques Used: RNA Structure Prediction

other:

Article Title: Experimental verification of the effectiveness of neural modified sliding mode technique in multi rotor wind turbine systems.
Article Snippet: Figure 14 represents the generator in MATLAB.

Article Title: Reduced listening effort with adaptive binaural beamforming in realistic noisy environments.
Article Snippet: Speech-in-noise intelligibility, reaction time, and self-reported effort Data analysis was conducted in MATLAB using functions from the ‘Statistics and Machine Learning’ toolbox.

Article Title: Experimental verification of the effectiveness of neural modified sliding mode technique in multi rotor wind turbine systems
Article Snippet: This equation can be used to represent the generator in MATLAB .

Software:

Article Title: Programmable Compliance in Small-Diameter Vascular Grafts by Design of Melt-Electrowritten Scaffold Architectures for In Situ Tissue Engineering.
Article Snippet: .. G-Code Generator: Our previously reported software platform, based on MATLAB R2020b (The Mathworks, USA), outputs G-code commands tailored toMEW of super-positioned, angularly shifted sets of parallel fiber lines. ..

Concentration Assay:

Article Title: Physics-Constrained Transfer-Matrix Optimization of Diffused Regions in Bifacial p + - n - n + Crystalline-Silicon Solar Cells.
Article Snippet: .. Item Symbol or Method Value Front surface concentration NA,s 1017–5 × 1020 cm−3 Base concentration ND,B 1014–1017 cm−3 Rear surface concentration NrearD,s 10 18–5 × 1020 cm−3 Prescribed wafer thicknesses d0 160, 180, and 200 μm Emitter-depth bounds WE 0.05–4.0 μm Rear-field-depth bounds WBSF 0.02–3.0 μm Minimum base thickness WB 5.0 μm Global algorithm MATLAB ga Genetic algorithm Population size — 80 Maximum generations — 100 Maximum stall generations — 30 Function tolerance — 10−6 Initial GA design θref Calibrated reference included Random-number generator MATLAB rng rng(1,’twister’) Parallel fitness evaluation MATLAB UseParallel Enabled Local refinement MATLAB fmincon SQP Maximum local function evaluations — 500 Optimality tolerance — 10−8 Step tolerance — 10−10 References 1. International Energy Agency Photovoltaic Power Systems Programme (IEA PVPS). ..

Western Blot:

Generated:

Article Title: Transit time mean and variance are markers of vascular network structure, wall shear stress distribution and oxygen extraction fraction.
Article Snippet: Perfusion measurements provide information about flow magnitude, but more detailed information is found from transit time distributions (TTD).. Whether TTDs provide intrinsic (flow-independent) information about vascular geometry or just flow field remains unknown.. We propose a new approach to calculate TTD, based on wall shear stress (WSS).

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