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RNA Seq Simulator RSS takes SAM alignment files from RNA-Seq data and simulates over dispersed, multiple replica, differential, non-stranded RNA-Seq datasets. SimSeq A Nonparametric Approach to Simulation of RNA-Sequence Datasets. WGsim Wgsim is a small tool for simulating sequence reads from a reference genome. It is able to simulate diploid ...
The RNAiFold software provides two algorithms to solve the inverse folding problem: i) RNA-CPdesign explores the complete search space and ii) RNA-LNSdesign based on the large neighborhood search metaheuristic is suitable to design large structures. The software can also design interacting RNA molecules using RNAcofold of the ViennaRNA Package.
Some short open reading frames, [7] also named small open reading frames, [8] abbreviated as sORFs or smORFs, usually < 100 codons in length, [9] that lack the classical hallmarks of protein-coding genes (both from ncRNAs and mRNAs) can produce functional peptides. [10]
Fast detection of coding regions in short genome sequences: Dragon Promoter Finder Program to recognize vertebrate RNA polymerase II promoters: Vertebrates [7] EasyGene: The gene finder is based on a hidden Markov model (HMM) that is automatically estimated for a new genome. Prokaryotes [8] [9] EuGene: Integrative gene finding: Prokaryotes ...
Trinity consists of three independent software modules, which are used sequentially to produce transcripts: Inchworm assembles the RNA-Seq data into transcript sequences, often generating full-length transcripts for a dominant isoform, but then reports just the unique portions of alternatively spliced transcripts.
RNA-Seq (named as an abbreviation of RNA sequencing) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome.
Retrotransposons are transposable elements which proliferate within eukaryotic genomes through a process involving reverse transcription. RNA-Seq can provide information about the transcription of endogenous retrotransposons that may influence the transcription of neighboring genes by various epigenetic mechanisms that lead to disease. [144]
The transcriptome consists of coding regions of mRNA plus non-coding UTRs, introns, non-coding RNAs, and spurious non-functional transcripts. Several factors render the content of the transcriptome difficult to establish. These include alternative splicing, RNA editing and alternative transcription among others. [17]