Tag Archives: transcriptome assembly

Sequencing studies on non-model organisms often interrogate both genomes and transcriptomes with massive amounts of short sequences. Such studies require de novo analysis tools and techniques...

De novo transcriptome assembly is an important technique for understanding gene expression in non-model organisms. Many de novo assemblers using the de Bruijn graph of a set of the RNA sequences rely on in-memory representation of this graph. However, current ...

With increased availability of de novo assembly algorithms, it is feasible to study entire transcriptomes of non-model organisms. While algorithms are available that are specifically designed for performing transcriptome assembly from high-throughput sequencing data, they are very memory-intensive, limiting their ...

Next-generation technologies for determination of genomics and transcriptomics composition have a wide range of applications. Andrias davidianus, has become an endangered amphibian species of salamander endemic in China. However, there is a lack of the molecular information. In this study, ...

De novo transcriptome assembly of short reads is now a common step in expression analysis of organisms lacking a reference genome sequence. Several software packages are available to perform this task. Even if their results are of good quality it ...

RNA-Seq based transcriptome assembly has been widely used to identify novel lncRNAs. However, the best-performing transcript reconstruction methods merely identified 21% of full-length protein-coding transcripts from H. sapiens. Those partial-length protein-coding transcripts are more likely to be classified as lncRNAs ...

Accurate transcript structure and abundance inference from RNA sequencing (RNA-seq) data is foundational for molecular discovery. Here researchers from the University of Michigan present a new meta-assembly method, Transcriptome Assemblies Combined into One (TACO), as a robust solution for leveraging the ...

RNA sequencing is a powerful method to build reference transcriptome assemblies and eventually sample-specific protein databases for mass spectrometry-based analyses. This novel proteomics informed by transcriptomics (PIT) workflow improves sample-specific proteome characterization of dynamic- and especially non-model organism proteomes, and ...

The technological revolution in next-generation sequencing has brought unprecedented opportunities to study any organism of interest at the genomic or transcriptomic level. Transcriptome assembly is a crucial first step for studying the molecular basis of phenotypes of interest using RNA-Sequencing ...

High-throughput RNA sequencing (RNA-seq) provides a comprehensive picture of the transcriptome, including the identity, structure, quantity, and variability of expressed transcripts in cells, through the assembly of sequenced short RNA-seq reads. Although the reference-based approach guarantees the high quality of ...