Genome Assembly Annotation Articles & Analysis
8 articles found
The detailed point is to sequence the unknown genome sequence, and use bioinformatics analysis means to splice and assemble the sequence, so as to obtain the map of its genome. ...
In addition to raw sequence data, you can also submit computationally assembled sequences, genomes, functional genomics data, microarray data, clinical data, genome variations, and other data types, such as PacBio methylation data. ...
Trimmomatic: Trimmomatic uses two methods to trim adapters: Simple and Palindrome Each adapter sequence is tested against the reads using 'simple' trimming, and if a sufficiently accurate match is identified, the read is clipped appropriately. Genome Assembly (SPAdes): SPAdes are a De Bruijn graph assembler that has quickly become the standard ...
It plays a crucial role in the assembly and stabilization of the CD19-complex, contributing to efficient B cell signaling and activation. ...
The bioinformatics workflow for WGS falls into the following steps: (1) raw read quality control; (2) data preprocessing; (3) alignment; (4) variant calling; (5) genome assembly; (6) genome annotation; (7) other advanced analyses based on your research interest such as phylogenetic analysis. ...
Long non-coding RNAs (lncRNAs) are a class of RNAs that do not code for proteins and are typically greater than 200 nucleotides in length. Studies have shown that lncRNAs are quite complex in function and play an important role in various biological processes such as development, differentiation, proliferation, metastasis, apoptosis, stem cell pluripotency, and DNA damage. Therefore, those ...
Introduction Since the completion of the Human Genome Project, genomics has played an increasingly critical role in the biomedical field. Its applications include variation and risk assessment in disease genomics, analysis of changes in transcriptomic gene expression, revealing epigenetic effects on tissue and organ development, and heterogeneity at the single-cell level, among others. We present ...
This paper analyses annotated genome data by applying a very central data-mining technique known as Association Rule Mining (ARM) with the aim of discovering rules and hypotheses capable of yielding deeper insights into this type of data. In the literature, ARM has been noted for producing an overwhelming number of rules. This work proposes a new technique capable of using domain knowledge in the ...