splice prediction algorithms Search Results


splice site prediction analysis  (Interactive Biosoftware)
90
Interactive Biosoftware splice site prediction analysis
Correlation between computational predictions and functionality of CHEK2 variants. A, Bar plot showing the R 2 -correlation values between the FACS-based <t>analysis</t> of Kap1 p.S473 phosphorylation as shown in and computational predictions from 12 different <t>prediction</t> algorithms. B, Scatter plot showing the correlation between Helix-based in <t>silico</t> predictions and results from functional assays presented in our study , or those from Delimitsou and colleagues 2019 and Kleiblova and colleagues 2019 . Data points are colored on the basis of functional classification (green, functional; orange, intermediate; red, damaging). Helix provides predictions for pathogenicity ranging from 0–1, with values close to 1 representing pathogenic predictions. C, En masse prediction plot from Helix for all possible missense changes in human CHEK2 . Schematic representation of the CHK2 protein and its functional domains demarcated by the amino acid numbers at the x -axis of the plot. D, Heatmap showing predictions from Helix combined with functional data for CHK2 amino acid changes that were analyzed in (outlined in bold). Functional variants are indicated in green (with bold outline); amino acid changes with a similar (+0.05) or lower prediction from Helix are also indicated in green. Intermediate variants are indicated in orange (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in orange. Damaging variants are indicated in red (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in red. For each amino acid position, amino acid changes with a similar color code are expected to result in similar functional effects. Squares in gray and white represent changes into the original amino acid or variant changes for which predictions are unclear, respectively.
Splice Site Prediction Analysis, supplied by Interactive Biosoftware, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/splice+prediction+algorithms/pmc09359737-377-2-22?v=Interactive+Biosoftware
Average 90 stars, based on 1 article reviews
splice site prediction analysis - by Bioz Stars, 2026-07
90/100 stars
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splice prediction algorithms nnsplice and maxentscan  (Interactive Biosoftware)
90
Interactive Biosoftware splice prediction algorithms nnsplice and maxentscan
Correlation between computational predictions and functionality of CHEK2 variants. A, Bar plot showing the R 2 -correlation values between the FACS-based <t>analysis</t> of Kap1 p.S473 phosphorylation as shown in and computational predictions from 12 different <t>prediction</t> algorithms. B, Scatter plot showing the correlation between Helix-based in <t>silico</t> predictions and results from functional assays presented in our study , or those from Delimitsou and colleagues 2019 and Kleiblova and colleagues 2019 . Data points are colored on the basis of functional classification (green, functional; orange, intermediate; red, damaging). Helix provides predictions for pathogenicity ranging from 0–1, with values close to 1 representing pathogenic predictions. C, En masse prediction plot from Helix for all possible missense changes in human CHEK2 . Schematic representation of the CHK2 protein and its functional domains demarcated by the amino acid numbers at the x -axis of the plot. D, Heatmap showing predictions from Helix combined with functional data for CHK2 amino acid changes that were analyzed in (outlined in bold). Functional variants are indicated in green (with bold outline); amino acid changes with a similar (+0.05) or lower prediction from Helix are also indicated in green. Intermediate variants are indicated in orange (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in orange. Damaging variants are indicated in red (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in red. For each amino acid position, amino acid changes with a similar color code are expected to result in similar functional effects. Squares in gray and white represent changes into the original amino acid or variant changes for which predictions are unclear, respectively.
Splice Prediction Algorithms Nnsplice And Maxentscan, supplied by Interactive Biosoftware, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/splice+prediction+algorithms/us09512486-195-15-21?v=Interactive+Biosoftware
Average 90 stars, based on 1 article reviews
splice prediction algorithms nnsplice and maxentscan - by Bioz Stars, 2026-07
90/100 stars
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splicing algorithms  (Interactive Biosoftware)
90
Interactive Biosoftware splicing algorithms
Correlation between computational predictions and functionality of CHEK2 variants. A, Bar plot showing the R 2 -correlation values between the FACS-based <t>analysis</t> of Kap1 p.S473 phosphorylation as shown in and computational predictions from 12 different <t>prediction</t> algorithms. B, Scatter plot showing the correlation between Helix-based in <t>silico</t> predictions and results from functional assays presented in our study , or those from Delimitsou and colleagues 2019 and Kleiblova and colleagues 2019 . Data points are colored on the basis of functional classification (green, functional; orange, intermediate; red, damaging). Helix provides predictions for pathogenicity ranging from 0–1, with values close to 1 representing pathogenic predictions. C, En masse prediction plot from Helix for all possible missense changes in human CHEK2 . Schematic representation of the CHK2 protein and its functional domains demarcated by the amino acid numbers at the x -axis of the plot. D, Heatmap showing predictions from Helix combined with functional data for CHK2 amino acid changes that were analyzed in (outlined in bold). Functional variants are indicated in green (with bold outline); amino acid changes with a similar (+0.05) or lower prediction from Helix are also indicated in green. Intermediate variants are indicated in orange (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in orange. Damaging variants are indicated in red (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in red. For each amino acid position, amino acid changes with a similar color code are expected to result in similar functional effects. Squares in gray and white represent changes into the original amino acid or variant changes for which predictions are unclear, respectively.
Splicing Algorithms, supplied by Interactive Biosoftware, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/splice+prediction+algorithms/pmc08372079-63-32-37?v=Interactive+Biosoftware
Average 90 stars, based on 1 article reviews
splicing algorithms - by Bioz Stars, 2026-07
90/100 stars
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splice prediction algorithms splicesitefinder-like  (Interactive Biosoftware)
90
Interactive Biosoftware splice prediction algorithms splicesitefinder-like
Correlation between computational predictions and functionality of CHEK2 variants. A, Bar plot showing the R 2 -correlation values between the FACS-based <t>analysis</t> of Kap1 p.S473 phosphorylation as shown in and computational predictions from 12 different <t>prediction</t> algorithms. B, Scatter plot showing the correlation between Helix-based in <t>silico</t> predictions and results from functional assays presented in our study , or those from Delimitsou and colleagues 2019 and Kleiblova and colleagues 2019 . Data points are colored on the basis of functional classification (green, functional; orange, intermediate; red, damaging). Helix provides predictions for pathogenicity ranging from 0–1, with values close to 1 representing pathogenic predictions. C, En masse prediction plot from Helix for all possible missense changes in human CHEK2 . Schematic representation of the CHK2 protein and its functional domains demarcated by the amino acid numbers at the x -axis of the plot. D, Heatmap showing predictions from Helix combined with functional data for CHK2 amino acid changes that were analyzed in (outlined in bold). Functional variants are indicated in green (with bold outline); amino acid changes with a similar (+0.05) or lower prediction from Helix are also indicated in green. Intermediate variants are indicated in orange (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in orange. Damaging variants are indicated in red (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in red. For each amino acid position, amino acid changes with a similar color code are expected to result in similar functional effects. Squares in gray and white represent changes into the original amino acid or variant changes for which predictions are unclear, respectively.
Splice Prediction Algorithms Splicesitefinder Like, supplied by Interactive Biosoftware, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/splice+prediction+algorithms/pmc06806584-213-21-50?v=Interactive+Biosoftware
Average 90 stars, based on 1 article reviews
splice prediction algorithms splicesitefinder-like - by Bioz Stars, 2026-07
90/100 stars
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Image Search Results


Correlation between computational predictions and functionality of CHEK2 variants. A, Bar plot showing the R 2 -correlation values between the FACS-based analysis of Kap1 p.S473 phosphorylation as shown in and computational predictions from 12 different prediction algorithms. B, Scatter plot showing the correlation between Helix-based in silico predictions and results from functional assays presented in our study , or those from Delimitsou and colleagues 2019 and Kleiblova and colleagues 2019 . Data points are colored on the basis of functional classification (green, functional; orange, intermediate; red, damaging). Helix provides predictions for pathogenicity ranging from 0–1, with values close to 1 representing pathogenic predictions. C, En masse prediction plot from Helix for all possible missense changes in human CHEK2 . Schematic representation of the CHK2 protein and its functional domains demarcated by the amino acid numbers at the x -axis of the plot. D, Heatmap showing predictions from Helix combined with functional data for CHK2 amino acid changes that were analyzed in (outlined in bold). Functional variants are indicated in green (with bold outline); amino acid changes with a similar (+0.05) or lower prediction from Helix are also indicated in green. Intermediate variants are indicated in orange (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in orange. Damaging variants are indicated in red (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in red. For each amino acid position, amino acid changes with a similar color code are expected to result in similar functional effects. Squares in gray and white represent changes into the original amino acid or variant changes for which predictions are unclear, respectively.

Journal: Cancer Research

Article Title: Functional Analysis Identifies Damaging CHEK2 Missense Variants Associated with Increased Cancer Risk

doi: 10.1158/0008-5472.CAN-21-1845

Figure Lengend Snippet: Correlation between computational predictions and functionality of CHEK2 variants. A, Bar plot showing the R 2 -correlation values between the FACS-based analysis of Kap1 p.S473 phosphorylation as shown in and computational predictions from 12 different prediction algorithms. B, Scatter plot showing the correlation between Helix-based in silico predictions and results from functional assays presented in our study , or those from Delimitsou and colleagues 2019 and Kleiblova and colleagues 2019 . Data points are colored on the basis of functional classification (green, functional; orange, intermediate; red, damaging). Helix provides predictions for pathogenicity ranging from 0–1, with values close to 1 representing pathogenic predictions. C, En masse prediction plot from Helix for all possible missense changes in human CHEK2 . Schematic representation of the CHK2 protein and its functional domains demarcated by the amino acid numbers at the x -axis of the plot. D, Heatmap showing predictions from Helix combined with functional data for CHK2 amino acid changes that were analyzed in (outlined in bold). Functional variants are indicated in green (with bold outline); amino acid changes with a similar (+0.05) or lower prediction from Helix are also indicated in green. Intermediate variants are indicated in orange (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in orange. Damaging variants are indicated in red (with bold outline); amino acid changes with a similar (−0.05) or higher prediction from Helix are also indicated in red. For each amino acid position, amino acid changes with a similar color code are expected to result in similar functional effects. Squares in gray and white represent changes into the original amino acid or variant changes for which predictions are unclear, respectively.

Article Snippet: However, in silico splice site prediction analysis was performed using four different algorithms (Splice Site Finder-like, MaxEntScan, GeneSplicer, NNSplice) in Alamut ( http://www.interactivebiosoftware.com/ ).

Techniques: Phospho-proteomics, In Silico, Functional Assay, Variant Assay