CountASAP: A Lightweight, Easy to Use Python Package for Processing ASAPseq Data
Christopher T. Boughter, Budhaditya Chatterjee, Yuko Ohta…·Martin Meier‐Schellersheim
CountASAP converts ASAPseq FASTQ data into count matrices for downstream analysis.
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Arizona State UniversityORCID 0000-0002-7368-7742Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
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Christopher T. Boughter, Budhaditya Chatterjee, Yuko Ohta…·Martin Meier‐Schellersheim
CountASAP converts ASAPseq FASTQ data into count matrices for downstream analysis.
Budhaditya Chatterjee, Christopher T. Boughter, Katrina Gorga…·Nevil J. Singh
This study compares the early single-cell transcriptional responses to live attenuated and inactivated Yellow Fever vaccines in mice, identifying distinct kinetic patterns and differential gene expression.
Seyedsina Mirjalili, Md Ashif Ikbal, Ching‐Wen Hou…·Chao Wang
This paper introduces a rapid, portable assay to measure neutralizing antibodies against SARS-CoV-2 variants using gold nanoparticles and optical extinction detection.
Inam Ridha, Chenxi Xu, Yining Zhang…·Vel Murugan
The paper introduces Mx-MeDIP-Seq, a method for analyzing DNA methylation using small DNA samples, showing high correlation and efficiency compared to traditional methods.