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Hari Krishna Yalamanchili

Showing results (1-10 of 45) with videos related to

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STAR Protocols|March 1, 2025
Protocol for unlocking alternative polyadenylation insights from bulk RNA-seq data with PolyAMiner-BulkVenkata Jonnakuti, Sriya Jonnakuti, Hari Krishna Yalamanchili
Current Protocols in Bioinformatics|September 14, 2017
Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic SplicingHari Krishna Yalamanchili, Ying-Wooi Wan, Zhandong Liu
BMC Systems Biology|October 11, 2012
A novel neural response algorithm for protein function predictionHari Krishna Yalamanchili, Quan-Wu Xiao, Junwen Wang
Methods (San Diego, Calif.)|March 22, 2014
Inferring gene regulatory networks by integrating ChIP-seq/chip and transcriptome data via LASSO-type regularization methodsJing Qin, Yaohua Hu, Feng Xu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing dataHyun-Hwan Jeong, Hari Krishna Yalamanchili, Caiwei Guo, et al.
Nucleic Acids Research|July 19, 2014
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samplesHari Krishna Yalamanchili, Zhaoyuan Li, Panwen Wang, et al.
Biorxiv : the Preprint Server for Biology|February 7, 2023
PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq dataVenkata Soumith Jonnakuti, Eric J Wagner, Mirjana Maletić-Savatić, et al.
Cell Reports Methods|February 7, 2024
PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq dataVenkata Soumith Jonnakuti, Eric J Wagner, Mirjana Maletić-Savatić, et al.
Proteomics|October 29, 2015
Comparative and quantitative proteomics reveal the adaptive strategies of oyster larvae to ocean acidificationR Dineshram, Q Quan, Rakesh Sharma, et al.
Nucleic Acids Research|May 29, 2020
PolyA-miner: accurate assessment of differential alternative poly-adenylation from 3'Seq data using vector projections and non-negative matrix factorizationHari Krishna Yalamanchili, Callison E Alcott, Ping Ji, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
STAR Protocols|March 1, 2025
Protocol for unlocking alternative polyadenylation insights from bulk RNA-seq data with PolyAMiner-BulkVenkata Jonnakuti, Sriya Jonnakuti, Hari Krishna Yalamanchili
Current Protocols in Bioinformatics|September 14, 2017
Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic SplicingHari Krishna Yalamanchili, Ying-Wooi Wan, Zhandong Liu
BMC Systems Biology|October 11, 2012
A novel neural response algorithm for protein function predictionHari Krishna Yalamanchili, Quan-Wu Xiao, Junwen Wang
Methods (San Diego, Calif.)|March 22, 2014
Inferring gene regulatory networks by integrating ChIP-seq/chip and transcriptome data via LASSO-type regularization methodsJing Qin, Yaohua Hu, Feng Xu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing dataHyun-Hwan Jeong, Hari Krishna Yalamanchili, Caiwei Guo, et al.
Nucleic Acids Research|July 19, 2014
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samplesHari Krishna Yalamanchili, Zhaoyuan Li, Panwen Wang, et al.
Biorxiv : the Preprint Server for Biology|February 7, 2023
PolyAMiner-Bulk: A Machine Learning Based Bioinformatics Algorithm to Infer and Decode Alternative Polyadenylation Dynamics from bulk RNA-seq dataVenkata Soumith Jonnakuti, Eric J Wagner, Mirjana Maletić-Savatić, et al.
Cell Reports Methods|February 7, 2024
PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq dataVenkata Soumith Jonnakuti, Eric J Wagner, Mirjana Maletić-Savatić, et al.
Proteomics|October 29, 2015
Comparative and quantitative proteomics reveal the adaptive strategies of oyster larvae to ocean acidificationR Dineshram, Q Quan, Rakesh Sharma, et al.
Nucleic Acids Research|May 29, 2020
PolyA-miner: accurate assessment of differential alternative poly-adenylation from 3'Seq data using vector projections and non-negative matrix factorizationHari Krishna Yalamanchili, Callison E Alcott, Ping Ji, et al.
Pageof 5