HARI YALAMANCHILI to Sequence Analysis, RNA
This is a "connection" page, showing publications HARI YALAMANCHILI has written about Sequence Analysis, RNA.
Connection Strength
1.738
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An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. Pac Symp Biocomput. 2018; 23:168-179.
Score: 0.492
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Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic Splicing. Curr Protoc Bioinformatics. 2017 09 13; 59:11.15.1-11.15.21.
Score: 0.482
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SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples. Nucleic Acids Res. 2014 Sep; 42(15):e121.
Score: 0.387
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PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data. Cell Rep Methods. 2024 Feb 26; 4(2):100707.
Score: 0.188
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A computational pipeline to infer alternative poly-adenylation from 3' sequencing data. Methods Enzymol. 2021; 655:185-204.
Score: 0.156
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Apparent bias toward long gene misregulation in MeCP2 syndromes disappears after controlling for baseline variations. Nat Commun. 2018 08 13; 9(1):3225.
Score: 0.032