Detailed Information for Outputted Files from Somatic Mutation Annotators(annovar 注释文件条目详细解释)
We provide here detailed Description about the files outputted from the somatic mutation annotators via ANNOVAR and SnpEff.
*_annoTable.txt
from the annotator via ANNOVAR
Column Names | Description |
---|---|
Chr | Chromosome number |
Start | Start position |
End | End position |
Ref | Reference base(s) |
Alt | Alternate non-reference alleles called on at least one of the samples |
COSMIC ID | COSMIC ID |
Func.refGene | Regions (e.g., exonic, intronic, non-coding RNA)) that one variant hits; please click here for details. |
Gene.refGene | Gene name associated with one variant |
ExonicFunc.refGene | Exonic variant function, e.g., nonsynonymous, synonymous, frameshift insertion.please click here for details. |
AAChange.refGene | Amino acid change. For example, SAMD11:NM_152486:exon10:c.T1027C:p.W343R stands for gene name, Known RefSeq accession, region, cDNA level change, protein level change. |
SIFT_score | SIFT score. See the dbNSFP information table for details. |
SIFT_pred | SIFT prediction. See the dbNSFP information table for details. |
Polyphen2_HDIV_score | Pholyphen2 score based on HDIV. See the dbNSFP information table for details. |
Polyphen2_HDIV_pred | Pholyphen2 prediction based on HDIV. See the dbNSFP information table for details. |
Polyphen2_HVAR_score | Polyphen2 score based on HVAR. See the dbNSFP information table for details. |
Polyphen2_HVAR_pred | Polyphen2 prediction based on HVAR. See the dbNSFP information table for details. |
LRT_score | LRT score. See the dbNSFP information table for details. |
LRT_pred | LRT prediction. See the dbNSFP information table for details. |
MutationTaster_score | MutationTaster score. See the dbNSFP information table for details. |
MutationTaster_pred | MutationTaster prediction. See the dbNSFP information table for details. |
MutationAssessor_score | MutationTaster score. See the dbNSFP information table for details. |
MutationAssessor_pred | MutationTaster prediction. See the dbNSFP information table for details. |
FATHMM_score | FATHMM score. See the dbNSFP information table for details. |
FATHMM_pred | FATHMM prediction. See the dbNSFP information table for details. |
PROVEAN_score | PROVEAN score<. See the dbNSFP information table for details./td> |
PROVEAN_pred | PROVEAN prediction. See the dbNSFP information table for details. |
VEST3_score | VEST V3 score. See the dbNSFP information table for details. |
CADD_raw | CADD raw score. See the dbNSFP information table for details. |
CADD_phred | CADD phred-like score. See the dbNSFP information table for details. |
DANN_score | DANN score. See the dbNSFP information table for details. |
fathmm-MKL_coding_score | fathmm-MKL score for one coding variant. See the dbNSFP information table for details. |
fathmm-MKL_coding_pred | fathmm-MKL prediction for one coding variant. See the dbNSFP information table for details. |
MetaSVM_score | MetaSVM score. See the dbNSFP information table for details. |
MetaSVM_pred | MetaSVM prediction. See the dbNSFP information table for details. |
MetaLR_score | MetaLR score. See the dbNSFP information table for details. |
MetaLR_pred | MetaLR prediction. See the dbNSFP information table for details. |
integrated_fitCons_score | fitCons score<. See the dbNSFP information table for details./td> |
integrated_confidence_value | confidence level. See the dbNSFP information table for details. |
GERP++_RS | GREP++ "rejected substitutions" (RS) score. See the dbNSFP information table for details. |
phyloP7way_vertebrate | Phylogenetic p-values for 7 vertebrate species. See the dbNSFP information table for details. |
phyloP20way_mammalian | Phylogenetic p-values for 20 mammalian species. See the dbNSFP information table for details. |
phastCons7way_vertebrate | PhastCons score for 7 vertebrate species. See the dbNSFP information table for details. |
phastCons20way_mammalian | phastCons p-values for 20 mammalian species. See the dbNSFP information table for details. |
SiPhy_29way_logOdds | SiPhy log odds score for 29 species. See the dbNSFP information table for details. |
*_annoTable.txt
from the annotator via SnpEff
Column Names | Description |
---|---|
CHROM | Chromosome number |
POS | Position |
ID | semi-colon separated list of unique identifiers where available. If this is a dbSNP variant it is encouraged to use the rs number(s). |
REF | Reference base(s) |
ALT | Alternate non-reference alleles called on at least one of the samples |
EFFECT | Functional consequences of one variant, e.g., missense_variant, synonymous_variant. please clickhere for details. |
REGION | Regions (e.g., exonic, intronic) that one variant hits |
IMPACT | Putative impact of the variant (e.g. HIGH, MODERATE or LOW impact). |
GENE | Gene name (usually HUGO) |
GENEID | Gene ID) |
FEATURE | The type of feature is in the next field (e.g. transcript, motif, miRNA, etc.) |
FEATUREID | Transcript ID (preferably using version number), Motif ID, miRNA, ChipSeq peak, Histone mark, depending on the annotation. |
BIOTYPE | Description on whether the transcript is {“Coding”, “Noncoding”}. Whenever possible, use ENSEMBL biotypes. . |
HGVS_C | Variant using HGVS notation (DNA level). For example, c.352A>G stands for A to G substitution of nucleotide 352. Click here for details. |
HGVS_P | Coding variant using HGVS notation (Protein level). For example, p.Ile118Val stands for Isoleucine at position number 66 substitution to Valine. p.Ile118Val can be also be represented by p.I118V using the 1-letter symbol here. Click here for details. |
SIFT_score | SIFT score. See the dbNSFP information table for details. |
SIFT_pred | SIFT prediction. See the dbNSFP information table for details. |
Polyphen2_HDIV_score | Pholyphen2 score based on HDIV. See the dbNSFP information table for details. |
Polyphen2_HDIV_pred | Pholyphen2 prediction based on HDIV. See the dbNSFP information table for details. |
Polyphen2_HVAR_score | Polyphen2 score based on HVAR. See the dbNSFP information table for details. |
Polyphen2_HVAR_pred | Polyphen2 prediction based on HVAR. See the dbNSFP information table for details. |
LRT_score | LRT score. See the dbNSFP information table for details. |
LRT_pred | LRT prediction. See the dbNSFP information table for details. |
MutationTaster_score | MutationTaster score. See the dbNSFP information table for details. |
MutationTaster_pred | MutationTaster prediction. See the dbNSFP information table for details. |
MutationAssessor_score | MutationAssessor score. See the dbNSFP information table for details. |
MutationAssessor_pred | MutationAssessor prediction. See the dbNSFP information table for details. |
FATHMM_score | FATHMM score. See the dbNSFP information table for details. |
FATHMM_pred | FATHMM prediction. See the dbNSFP information table for details. |
PROVEAN_score | PROVEAN score<. See the dbNSFP information table for details./td> |
PROVEAN_pred | PROVEAN prediction. See the dbNSFP information table for details. |
VEST3_score | VEST V3 score. See the dbNSFP information table for details. |
CADD_raw | CADD raw score. See the dbNSFP information table for details. |
CADD_phred | CADD phred-like score. See the dbNSFP information table for details. |
MetaSVM_score | MetaSVM score. See the dbNSFP information table for details. |
MetaSVM_pred | MetaSVM prediction. See the dbNSFP information table for details. |
MetaLR_score | MetaLR score. See the dbNSFP information table for details. |
MetaLR_pred | MetaLR prediction. See the dbNSFP information table for details. |
GERP++_NR | GREP++ conservation score. See the dbNSFP information table for details. |
GERP++_RS | GREP++ "rejected substitutions" (RS) score. See the dbNSFP information table for details. |
phyloP100way_vertebrate | Phylogenetic p-values for 100 vertebrate species. See the dbNSFP information table for details. |
phastCons100way_vertebrate | PhastCons score for 7 vertebrate species. See the dbNSFP information table for details. |
SiPhy_29way_logOdds | SiPhy log odds score for 29 species. See the dbNSFP information table for details. |
*_genelist.txt
from the annotators via ANNOVAR and SnpEff
Column Names | Description |
---|---|
Gene | Gene name associated with each variant; one gene name may correspond to several variants. |
Mutations | Amino acid change information. For example, SAMD11:NM_152486:exon10:c.T1027C:p.W343R stands for gene name, Known RefSeq accession, region, cDNA level change, protein level change.. |
- dbNSFP Information
Columns of Annotations from dbNSFP Database | Pediction Algorithm/Conservation Score | Description | Method | Categorical Prediction | Author(s) |
---|---|---|---|---|---|
SIFT_pred SIFT_score |
SIFT | Sort intolerated from tolerated | P(An amino acid at a position is tolerated | The most frequentest amino acid being tolerated) | D: Deleterious (sift<=0.05); T: tolerated (sift>0.05) |
Pauline Ng, Fred Hutchinson Cancer Research Center, Seattle, Washington |
Polyphen2_HDIV_pred Polyphen2_HDIV_score |
Polyphen v2 | Polymorphism phenotyping v2 | D: Probably damaging (>=0.957), P: possibly damaging (0.453<=pp2_hdiv<=0.956), B: benign (pp2_hdiv<=0.452) |
Probablistic Classifier Training sets: HumDiv | Havard Medical School/td> |
Polyphen2_HVAR_pred Polyphen2_HVAR_score |
Polyphen v2 | Polymorphism phenotyping v2 | Machine learning Training sets: HumVar | D: Probably damaging (>=0.957), P: possibly damaging (0.453<=pp2_hdiv<=0.956); B: benign (pp2_hdiv<=0.452) |
Shamil Sunyaev Havard Medical School |
LRT_pred LRT_score |
LRT | Likelihood ratio test | LRT of H0: each codon evolves neutrally vs H1: the codon evovles under negative selection | D: Deleterious; N: Neutral; U: Unknown Lower scores are more deleterious |
Sung Chung, Justin Fay Washington University |
MutationTaster_pred MutationTaster_score |
MutationTaster | Bayes Classifier | A: (""disease_causing_automatic""); D: (""disease_causing""); N: (""polymorphism [probably harmless]""); P: (""polymorphism_automatic[known to be harmless]" higher values are more deleterious" |
Markus Schuelke the Charité - Universitätsmedizin Berlin |
|
MutationAssessor_pred MutationAssessor_score |
MutationAssessor | Entropy of multiple sequence alighnment | H: high; M: medium; L: low; N: neutral. H/M means functional and L/N means non-functional higher values are more deleterious |
Reva Boris Computation Biology Center Memorial Sloan Kettering Cancer Center |
|
FATHMM_pred FATHMM_score |
FATHMM | HMM | Functional analysis through hidden markov model HMM | D: Deleterious; T: Tolerated; lower values are more deleterious |
Shihab Hashem University of Bristol, UK |
PROVEAN_pred PROVEAN_score |
Protein Variation Effect Analyzer | Clustering of homologus sequences | D: Deleterious; N: Neutral higher values are more deleterious |
Choi Y J. Craig Venter Institute | |
VEST3_score | VEST V3 | Variant effect scoring tool | Random forest classifier | higher values are more deleterious | Rachel Karchin John Hopkins University |
CADD_raw CADD_phred | CADD Combined annotation dependent depletion | Linear kernel SVM | higher values are more deleterious | Jay Shendure, Xiaohui Xie University of California - Irvine | |
DANN_score | DANN | Deleterious Annotation of genetic variants using Neural Networks | Neural network | higher values are more deleterious | Jay Shendure, Xiaohui Xie University of California - Irvine |
fathmm-MKL_coding_pred | FATHMM-MKL | predicting the effects of both coding and non-coding variants using nucleotide-based HMMs | Classifier based on multiple kernel learning | D: Deleterious; T: Tolerated Score >= 0.5: D; Score < 0.5: T |
Shihab Hashem University of Bristol, UK |
MetaSVM_pred MetaSVM_score |
MetaSVM | Support vector machine | D: Deleterious; T: Tolerated; higher scores are more deleterious |
Coco Dong USC Biostatiscs Department |
|
MetaLR_pred MetaLR_score |
MetaLR | Logistic regression | D: Deleterious; T: Tolerated; higher scores are more deleterious |
Coco Dong USC Biostatiscs Department |
|
integrated_fitCons_score integrated_confidence_value |
FitCons | Fitness consequences of functional annotation | Integrate functional assays like ChIP-Seq with conservation measure of transcription factor binding sites | higher scores are more deleterious | Abriza Cold Spring Harbor Lab |
GERP++_RS GERP++_NR |
Genome Evolutionary Rate Profiling ++ | maximum likelihood estimation procedure | higher scores are more deleterious | Eugne Davydov Stanford University, CS Department |
|
phyloP7way_vertebrate | PhyloP | Phylogentic p-values | Phylogentic p-values calculated from a LRT, score-based test, GERP test Use 7 species | higher scores are more deleterious | Adam Siepel UCSC |
phyloP20way_mammalian | PhyloP | Phylogentic p-values | a phylogenetic hidden Markov model (phylo-HMM) Use 20 species | higher scores are more deleterious | Adam Siepel UCSC |
phastCons7way_vertebrate | phastCons | A phylogenetic hidden Markov model (phylo-HMM) Use 7 species | higher scores are more deleterious | Adam Siepel UCSC |
|
phastCons20way_mammalian | phastCons | a phylogenetic hidden Markov model (phylo-HMM) Use 20 species | higher scores are more deleterious | Adam Siepel UCSC |
|
SiPhy_29_way | SiPhy | Probablistic framework, HMM Use 29 species | higher scores are more deleterious | Manual Garber Broad Institute of MIT & Harvard |
>
Questions? Kindly contact arraytools [at] emmes.com
using the subject heading detailed information for outputted files from somatic mutation annotators
.
原文链接地址:https://brb.nci.nih.gov/seqtools/colexpanno.html
Detailed Information for Outputted Files from Somatic Mutation Annotators(annovar 注释文件条目详细解释)的更多相关文章
- Debugging Information in Separate Files
[Debugging Information in Separate Files] gdb allows you to put a program's debugging information in ...
- MCP|DYM|Quantitative mass spectrometry to interrogate proteomic heterogeneity in metastatic lung adenocarcinoma and validate a novel somatic mutation CDK12-G879V (利用定量质谱探究转移性肺腺瘤的蛋白质组异质性及验证新体细胞突变)
文献名:Quantitative mass spectrometry to interrogate proteomic heterogeneity in metastatic lung adenoca ...
- somatic mutation体细胞变异检测文献分享--转载
转载 :http://blog.sina.com.cn/s/blog_83f77c940102xuro.html Kalatskaya I, Trinh Q M, Spears M, et al. I ...
- The absolute uri: [http://java.sun.com/jsp/jstl/core] cannot be resolved in either web.xml or the jar files deployed with this application] with root cause异常处理及解释
1.问题描述: 在web的jsp文件中想用jstl这个标准库,在运行的时候很自然的引用jar包如下: <dependency> <groupId>javax.servlet.j ...
- How to check type of files without extensions in python? 不通过文件扩展名,怎样知道文件类型?
有一个命令 file 可以用 $ file fuck fuck.png: PNG image data, 1122 x 750, 8-bit colormap, non-interlaced pyth ...
- BlackArch-Tools
BlackArch-Tools 简介 安装在ArchLinux之上添加存储库从blackarch存储库安装工具替代安装方法BlackArch Linux Complete Tools List 简介 ...
- xsltproc docbook 转 html
/etc/xml/catalog <?xml version="1.0" encoding="UTF-8"?> <catalog xmlns= ...
- curl-手册
Manual -- curl usage explained Related: Man Page FAQ LATEST VERSION You always find news about wha ...
- 【ANT】Ant常用的内置task
ant 例如: <target name="callProjectB"> <echo message="In projectA calling proj ...
随机推荐
- 如何了解您的微软认证情况和MIC ID
- Cookie中文乱码问题
页面一登录,页面二保存用户信息,放入Cookies里. 但是Cookies放入中文会引起编码问题,如报错“Control character in cookie value, consider BAS ...
- Java中如何动态创建接口的实现
有很多应用场景,用到了接口动态实现,下面举几个典型的应用: 1.mybatis / jpa 等orm框架,可以在接口上加注解进行开发,不需要编写实现类,运行时动态产生实现. 2.dubbo等分布式服务 ...
- 凭证(Credential)
在SQL Server中,凭证(Credential)用于把Windows用户的身份验证信息(在Windows环境下,是Windows 用户名和密码)存储在SQL Server实例中,并把该身份验证信 ...
- java复习(9)---数据库JDBC
java写工程当然需要连接数据库.JDBC技术是连接数据库和应用程序的纽带,本节主要说明如何连接数据库. java中提供sql类. package re09; import java.sql.*; p ...
- JS基础——循环很重要
介绍循环之前,首先要说一下同样很重要的if-else结构,switch-case结构 ①if-else结构 if(判断条件) { 条件为true时执行 } else{ 条件为false时执行 } ②i ...
- .NET Core 2.0体验
.NET Core 2.0预览版及.NET Standard 2.0 Preview 这个月也就要发布了. 具体相关信息可以查看之前的文章.NET Core 2.0及.NET Standard 2.0 ...
- 前端框架对比之vue与regular(一)
每次一写到Regular总是忍不住先介绍一下,Regualr是网易杭州研究所的一位叫郑海波的大神写的一款前端框架,目前 这款框架推广的不深,加上其和angular过于相似的框架名,导致接受力并不大,其 ...
- Oracle12c多租户管理用户、角色、权限
Oracle 数据库 12 c 多租户选项允许单个容器数据库 (CDB) 来承载多个单独的可插拔数据库 (PDB).那么我们如何在容器数据库 (CDB) 和可插拔数据库 (PDB)管理用户权限.背景: ...
- Python dict 按键和值排序
python 字典(dict)的特点就是无序的,按照键(key)来提取相应值(value),如果我们需要字典按值排序的话,那可以用下面的方法来进行:1 下面的是按照value的值从大到小的顺序来排序. ...