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Envisagenics
splicecore software platform Splicecore Software Platform, supplied by Envisagenics, 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/splicecore+software+platform/splicecore+software+platform/pm38664594-282-1-5 Average 90 stars, based on 1 article reviews
splicecore software platform - by Bioz Stars,
2026-09
90/100 stars
|
Buy from Supplier |
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Envisagenics
the splicecore software platform ![]() The Splicecore Software Platform, supplied by Envisagenics, 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/splicecore+software+platform/splicecore+software+platform/bio_rxiv__2022__10__14__512313-158-1-5 Average 90 stars, based on 1 article reviews
the splicecore software platform - by Bioz Stars,
2026-09
90/100 stars
|
Buy from Supplier |
|
Envisagenics
splicecore® software platform ![]() Splicecore® Software Platform, supplied by Envisagenics, 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/splicecore+software+platform/splicecore+software+platform/pmc06936330-859-6-10 Average 90 stars, based on 1 article reviews
splicecore® software platform - by Bioz Stars,
2026-09
90/100 stars
|
Buy from Supplier |
Journal: bioRxiv
Article Title: Development and validation of an AI/ML platform for the discovery of splice-switching oligonucleotide targets
doi: 10.1101/2022.10.14.512313
Figure Lengend Snippet: A. Overview of the SpliceCore platform, including SpliceLearn. Using RNA-seq data as its input, the SpliceCore platform performs de-novo transcript assembly using an exon-centric reference transcriptome called TXdb. It integrates several AI/ML algorithms that allow for modular data analysis and is implemented on the Microsoft Azure cloud to efficiently scale resources. SpliceLearn takes disease-specific AS events identified by SpliceCore and uses a novel AI/ML algorithm to identify functional binding sites for SSOs. B. SpliceLearn was trained on splicing regulatory information including SF binding profiles to RNA as well as SF-SF interactions using tree-based learning for upstream introns, exons and downstream introns independently.
Article Snippet: The
Techniques: RNA Sequencing Assay, Functional Assay, Binding Assay
Journal: bioRxiv
Article Title: Development and validation of an AI/ML platform for the discovery of splice-switching oligonucleotide targets
doi: 10.1101/2022.10.14.512313
Figure Lengend Snippet: A. Overlap of AS changes across breast cancer tissue types in TCGA. B. Overlap of AS changes identified in TCGA and in-house cell-line RNA-seq data C. Top seven SpliceCore targets identified in TNBC. The table shows dPSI values for basal vs. luminal tumor cross-comparisons, prevalence across 169 TNBC samples, function of the target candidates, and RT-PCRs with AS changes.
Article Snippet: The
Techniques: RNA Sequencing Assay
Journal: Cell reports
Article Title: Differential Functions of Splicing Factors in Mammary Transformation and Breast Cancer Metastasis
doi: 10.1016/j.celrep.2019.10.110
Figure Lengend Snippet: KEY RESOURCES TABLE
Article Snippet: Differential Splicing Analysis We used the
Techniques: Recombinant, SYBR Green Assay, MTT Assay, Sequencing, shRNA, Software