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Download as PDF; Printable version; In other projects Wikidata item ... DECIPHER is a software that can be used to decipher and manage biological sequences ...
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 ...
PMLB: [495] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Provides classification and regression datasets in a standardized format that are accessible through a Python API.
DECIPHER is a web-based resource and database of genomic variation data from analysis of patient DNA. [ 1 ] [ 2 ] [ 3 ] It documents submicroscopic chromosome abnormalities ( microdeletions and duplications ) and pathogenic sequence variants (single nucleotide variants - SNVs, Insertions, Deletions, InDels), from over 25000 patients and maps ...
Structural Classification of Proteins (SCOP) Protein structure databases CATH database: Protein structure databases ModBase: Sali Lab, UCSF: database of comparative protein structure models Protein model databases SIMAP: database of protein similarities computed using FASTA: Protein model databases Swiss-model: server and repository for protein ...
The read alignments are sorted using SAMtools, after which variant callers such as GATK [20] are used to identify differences compared to the reference sequence. The choice of variant calling tool depends heavily on the sequencing technology used, so GATK is often used when working with short reads, while long read sequences require tools like ...
Ab Initio gene prediction is an intrinsic method based on gene content and signal detection. Because of the inherent expense and difficulty in obtaining extrinsic evidence for many genes, it is also necessary to resort to ab initio gene finding, in which the genomic DNA sequence alone is systematically searched for certain tell-tale signs of protein-coding genes.
Schematic overview of the modular structure underlying procedures for gene set enrichment analysis. Gene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with different phenotypes (e.g ...