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ANNOVAR
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An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, hg38, as well as mouse, worm, fly, yeast and many others). Using a desktop computer, ANNOVAR requires ∼4 min to perform gene-based annotation and ∼15 min to perform variants reduction on 4.7 million variants, making it practical to handle hundreds of human genomes in a day.
VEP / Variant Effect Predictor
Determines the effect of your variants (SNPs, insertions, deletions, CNVs or structural variants) on genes, transcripts, and protein sequence, as well as regulatory regions. Simply input the coordinates of your variants and the nucleotide changes to find out the genes and transcripts affected by the variants, location of the variants (e.g. upstream of a transcript, in coding sequence, in non-coding RNA, in regulatory regions), consequence of your variants on the protein sequence (e.g. stop gained, missense, stop lost, frameshift); known variants that match yours, and associated minor allele frequencies from the 1000 Genomes Project, SIFT and PolyPhen scores for changes to protein sequence.
wANNOVAR
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ANNOVAR is a rapid, efficient tool to annotate functional consequences of genetic variation from high-throughput sequencing data. wANNOVAR provides easy and intuitive web-based access to the most popular functionalities of the ANNOVAR software. It provides simple and intuitive interface to help users determine the functional significance of variants. These include annotating single nucleotide variants and insertions/deletions for their effects on genes, reporting their conservation levels (such as PhyloP and GERP++ scores), calculating their predicted functional importance scores (such as SIFT and PolyPhen scores), retrieving allele frequencies in public databases (such as the 1000 Genomes Project and NHLBI-ESP 5400 exomes), and implementing a 'variants reduction' protocol to identify a subset of potentially deleterious variants/genes.
PennCNV
A free software tool for copy number variation (CNV) detection from SNP genotyping arrays. PennCNV can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs from segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm.
SCAN / SNP and CNV Annotation
A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: 1) Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene); 2) Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene.
AnnTools
A versatile bioinformatics application designed for comprehensive annotation of a full spectrum of human genome variation: novel and known single-nucleotide substitutions (SNP/SNV), short insertions/deletions (INDEL) and structural variants/copy number variation (SV/CNV). The variants are interpreted by interrogating data compiled from 15 constantly updated sources. In addition to detailed functional characterization of the coding variants, AnnTools searches for overlaps with regulatory elements, disease/trait associated loci, known segmental duplications and artifact prone regions, thereby offering an integrated and comprehensive analysis of genomic data. The tool conveniently accepts user-provided tracks for custom annotation and offers flexibility in input data formats. The output is generated in the universal variant call format (VCF).
CNView
A software tool for normalized visualization, statistical scoring, and annotation of CNVs from population-scale whole-genome sequencing (WGS) datasets. CNView has six sequential steps: (1) matrix filtering, (2) matrix compression, (3) intra-sample normalization, (4) inter-sample normalization, (5) coverage visualization, and (6) genome annotation. CNView surmounts challenges of sequencing depth variability between individual libraries by locally adapting to cohort-wide variance in sequencing uniformity at any locus. Importantly, CNView is broadly extensible to any reference genome assembly and most current WGS data types.
plasmaCNV
Finds somatic copy number alterations (sCNA) from the cell free DNA (cfDNA) of a cancer patient relative to a single reference sample. plasmaCNV can characterize sCNA through the investigation of artificial, cfDNA-like mixtures and clinical cfDNA samples. It employs a method that estimates the number of reads that align to specific regions of the genome. This tool utilizes another approach that uses the distribution of reads from the ‘normal’ reference sample to recognize sCNA from the cfDNA sample.
CNVannotator
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Aims to annotate and discover known copy number variants (CNVs). CNVannotator is a method that supplies solution to understand CNVs. Its features allow researchers to detect novel CNVs by filtering out known common and disease CNVs and other Genome-wide association studies (GWAS)-reported variants. It can also overlap various genomic features, including gene fusion sites, segmental duplication sites, genomic fragile sites, cytoband, and pseudogenes.
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