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queryable-rna-seq-database Formally known as the Queryable RNA-Seq Database, this system is designed to simplify the process of RNA-seq analysis by providing the ability upload the result data from RNA-Seq analysis into a database, store it, and query it in many different ways.
Automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences Eukaryotes [1] FragGeneScan: Predicting genes in complete genomes and sequencing Reads: Prokaryotes, Metagenomes [2] ATGpr: Identifies translational initiation sites in cDNA sequences: Human [3] Prodigal
List of disorder prediction software; List of Protein subcellular localization prediction tools; List of phylogenetics software; List of phylogenetic tree visualization software; Category:Metagenomics_software; Structural biology software. List of molecular graphics systems; List of protein-ligand docking software; List of RNA structure ...
Data analysis usually requires a combination of bioinformatics software tools (see also List of RNA-Seq bioinformatics tools) that vary according to the experimental design and goals. The process can be broken down into four stages: quality control, alignment, quantification, and differential expression. [ 105 ]
Name Description Knots [Note 1]Links References trRosettaRNA: trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that the automated predictions ...
It is the first step in sequence analysis to limit wrong conclusions due to poor quality data. The tools used at this stage depend on the sequencing platform. For instance, FastQC checks the quality of short reads (including RNA sequences), Nanoplot or PycoQC are used for long read sequences (e.g. Nanopore sequence reads), and MultiQC ...
Bioinformatics (/ ˌ b aɪ. oʊ ˌ ɪ n f ər ˈ m æ t ɪ k s / ⓘ) is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex.
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. [2] [3]