Results 51 to 60 of about 1,743,892 (345)
Dataset of the transcribed 45S ribosomal RNA sequence of the tree crop yerba mate [PDF]
This contribution contains data related to the research article entitled The 18S-25S ribosomal RNA unit of yerba mate (Ilex paraguariensis A. St.-Hil.) (Aguilera et al., 2016).
Aguilera, Patricia Mabel +2 more
core +2 more sources
Comparative Analysis of Single-Cell RNA Sequencing Methods [PDF]
Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq ...
Ziegenhain, Christoph +9 more
openaire +3 more sources
In an attempt to improve the analysis DNA sequence, a new intelligent deep analysis algorithm called reduce frequency bast on fast frequency graph mining (RF-FFGM) is established; This algorithm at the beginning converts the DNA sequence into RNA ...
Zena A. Kadhuim, Samaher Al-Janabi
doaj +1 more source
Global analysis of RNA cleavage by 5′-hydroxyl RNA sequencing [PDF]
RNA cleavage by some endoribonucleases and self-cleaving ribozymes produces RNA fragments with 5'-hydroxyl (5'-OH) and 2',3'-cyclic phosphate termini. To identify 5'-OH RNA fragments produced by these cleavage events, we exploited the unique ligation mechanism of Escherichia coli RtcB RNA ligase to attach an oligonucleotide linker to RNAs with 5'-OH ...
Peach, Sally E. +2 more
openaire +2 more sources
PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs.
Deshpande, Sumukh +4 more
core +4 more sources
RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis [PDF]
Gene expression is the fundamental level at which the results of various genetic and regulatory programs are observable. The measurement of transcriptome-wide gene expression has convincingly switched from microarrays to sequencing in a matter of years.
Van den Berge, Koen +7 more
openaire +2 more sources
In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley +1 more source
Objective To analyze the composition characteristics and biological functions of tumor cell subpopulations in glioblastoma (GBM) through multi-transcriptomics sequencing technology, and explore the hypoxia characteristics and spatial localization ...
CHEN Tao, YANG Fan, WANG Shuai
doaj +1 more source
Profile Context-Sensitive HMMs for Probabilistic Modeling of Sequences With Complex Correlations [PDF]
The profile hidden Markov model is a specific type of HMM that is well suited for describing the common features of a set of related sequences. It has been extensively used in computational biology, where it is still one of the most popular tools.
Vaidyanathan, P. P., Yoon, Byung-Jun
core +2 more sources
Bulk RNA sequencing analysis v1
This protocol describes the steps for the bioinformatical analysis of bulk RNA sequencing with a focus on evolutionary young L1s.
openaire +1 more source

