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A new APA-seq analysis method improves differential gene expression detection, helping researchers gain deeper insights from RNA sequencing data and alternative polyadenylation stu...
TAP-seq combines genome editing with targeted RNA sequencing to enable sensitive and cost-effective single-cell functional genomics screens...
Amaranth improves transcript reconstruction from RNA sequencing data by modeling different read types, enabling more accurate isoform analysis at single-cell resolution...
by Araf Mahmud, Chen Huang Alternative splicing affects 95% of multi-exon genes, generating protein isoforms with distinct functions. While current alternative splicing analyses e...
D&D‑seq uses a base editor–nanobody fusion to record DNA–protein contacts at single‑cell resolution. The method maps transcription factor and chromatin-remodeling proteins. The...
by Zhaoyang Liu, Yuteng Xiao, Dao Xiang, Hao Shi, Kaijian Xia Studies have shown that m6A plays a key role in different life processes such as RNA metabolism, physiology and patho...
by Noam Teyssier, Alexander Dobin Modern genomics produces billions of sequencing records per run, which are typically stored as gzip-compressed FASTQ files. While this format is...
RNA sequencing analysis with the USADAE deep learning framework improves detection of hidden confounders while preserving biological signals for transcriptomics studies... The post...
by Zachary Hemminger, Haley De Ocampo, Fangming Xie, Zhiqian Zhai, Jingyi Jessica Li, Roy Wollman Motivation Most imaging-based spatial transcriptomics methods measure individual g...
by Flora Borne, Andrew M. Taverner, Peter Andolfatto Intramolecular epistasis is increasingly recognized as a key factor shaping patterns of evolutionary rate variation among prot...
RNA sequencing with regRNA Capture-seq identified thousands of regulatory RNAs and enabled new strategies to increase expression of disease-related genes using ASOs...
by Haihan Zhang, Kevin He, Lam C. Tsoi, Xiang Zhou Recent advances in transcriptome-wide association study (TWAS) fine-mapping have enabled the joint modeling of multiple genes to...
This Parse Biosciences and bit.bio alliance combines single-cell RNA sequencing and causal transcriptomics to map transcription factor-driven cell identity, enabling improved disea...
by Md Istiaq Ansari, Khandakar Tanvir Ahmed, Debby D. Wang, Kirill Medvedev, Wei Zhang Protein isoforms produced from the same gene through post-transcriptional regulatory mechani...
STGBench generates realistic paired DNA and RNA sequencing datasets with known genetic alterations, enabling accurate benchmarking of spatial genomics and transcriptomics analysis....
by Denis V. Petrovskiy, Kirill S. Nikolsky, Vladimir R. Rudnev, Liudmila I. Kulikova, Tatiana V. Butkova, Kristina A. Malsagova, Arthur T. Kopylov, Anna L. Kaysheva Proteomics uti...
PANDORA-seq revealed sperm small RNA signatures associated with motility and morphology, providing new molecular markers for assessing male fertility...
RNA sequencing enabled comprehensive detection of clinically relevant gene fusions in acute leukemia, including rare rearrangements that conventional diagnostic methods failed to i...
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