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Full-Text Articles in Medicine and Health Sciences
Xcvatr: Detection And Characterization Of Variant Impact On The Embeddings Of Single -Cell And Bulk Rna-Sequencing Samples, Arif Harmanci, Akdes Serin Harmanci, Tiemo J Klisch, Akash J Patel
Xcvatr: Detection And Characterization Of Variant Impact On The Embeddings Of Single -Cell And Bulk Rna-Sequencing Samples, Arif Harmanci, Akdes Serin Harmanci, Tiemo J Klisch, Akash J Patel
Student and Faculty Publications
BACKGROUND: RNA-sequencing has become a standard tool for analyzing gene activity in bulk samples and at the single-cell level. By increasing sample sizes and cell counts, this technique can uncover substantial information about cellular transcriptional states. Beyond quantification of gene expression, RNA-seq can be used for detecting variants, including single nucleotide polymorphisms, small insertions/deletions, and larger variants, such as copy number variants. Notably, joint analysis of variants with cellular transcriptional states may provide insights into the impact of mutations, especially for complex and heterogeneous samples. However, this analysis is often challenging due to a prohibitively high number of variants and …
Xcvatr: Detection And Characterization Of Variant Impact On The Embeddings Of Single -Cell And Bulk Rna-Sequencing Samples, Arif Harmanci, Akdes Serin Harmanci, Tiemo J Klisch, Akash J Patel
Xcvatr: Detection And Characterization Of Variant Impact On The Embeddings Of Single -Cell And Bulk Rna-Sequencing Samples, Arif Harmanci, Akdes Serin Harmanci, Tiemo J Klisch, Akash J Patel
Student and Faculty Publications
BACKGROUND: RNA-sequencing has become a standard tool for analyzing gene activity in bulk samples and at the single-cell level. By increasing sample sizes and cell counts, this technique can uncover substantial information about cellular transcriptional states. Beyond quantification of gene expression, RNA-seq can be used for detecting variants, including single nucleotide polymorphisms, small insertions/deletions, and larger variants, such as copy number variants. Notably, joint analysis of variants with cellular transcriptional states may provide insights into the impact of mutations, especially for complex and heterogeneous samples. However, this analysis is often challenging due to a prohibitively high number of variants and …
Mintruls: Prediction Of Mirna-Mrna Target Site Interactions Using Regularized Least Square Method, Sushil Kumar Shakyawar, Siddesh Southekal, Chittibabu Guda
Mintruls: Prediction Of Mirna-Mrna Target Site Interactions Using Regularized Least Square Method, Sushil Kumar Shakyawar, Siddesh Southekal, Chittibabu Guda
Journal Articles: Genetics, Cell Biology & Anatomy
Identification of miRNA-mRNA interactions is critical to understand the new paradigms in gene regulation. Existing methods show suboptimal performance owing to inappropriate feature selection and limited integration of intuitive biological features of both miRNAs and mRNAs. The present regularized least square-based method, mintRULS, employs features of miRNAs and their target sites using pairwise similarity metrics based on free energy, sequence and repeat identities, and target site accessibility to predict miRNA-target site interactions. We hypothesized that miRNAs sharing similar structural and functional features are more likely to target the same mRNA, and conversely, mRNAs with similar features can be targeted by …