Download !NEW! File _K SIDER VERSION FACE NEW V47.txt
Pros: The performance is pretty good. It does not drift as much as the BOOSTING tracker and it does a reasonable job under partial occlusion. If you are using OpenCV 3.0, this might be the best tracker available to you. But if you are using a higher version, consider KCF.
Download File _K SIDER VERSION FACE NEW V47.txt
Notice : GOTURN being a CNN based tracker, uses a Caffe model for tracking. The Caffe model and the proto text file must be present in the directory in which the code is present. These files can also be downloaded from the opencv_extra repository, concatenated, and extracted before use.
Actionability and CMC downloads are free for non-commercial use, files are available on the COSMIC download page. Please refer to our licensing page here to understand if you are a Non-Commercial or Commercial user and how to obtain a license.
The new mapping file NCV_CDS_syntax_mapping.tsv released in v97 can be cross referenced with the CosmicNonCodingVariants.vcf.gz or CosmicNCV.tsv.gz download files to link CDS syntaxes with LEGACY_ID or COSV identifiers.
Expressed/not category added to Patient Pre-screening; From v7 onwards the download file contains a new category: 'Expressed/not' This is used for trials that compare patients that express a protein with those that don???t or compare patients with high expression with those with low expression. In practice, there is usually a threshold expression level and the comparison is between patients above/below it. If our curator is able to find out the measure and threshold level that was used, it appears as part of the trial name.This new value is represented by the term Patient Pre-Screening, in the column mutation_selected_dict
Please note that due to technical difficulties, resistance data for FGFR2 and NT5C2 are not showing on the website currently. All resistance mutations are available in the download files.
We have listened to the user feedback and have made changes to the Actionability download file, it includes a new COSO column to link to our existing classification file. This will help to find complete disease classification in COSMIC, along with the NCIT code.
Please Note: All COSMIC data is still going to be the same as v92, apart from an addition of the new Actionability download file. The core COSMIC dataset is going to be updated for our next release in v94.
We have created a new unified download page, serving as a one stop shop for the mutational signature profiles, grouped per release for all past releases from v1 in 2013. This groups all reference signatures into a single file, organised by variant class (SBS, DBS and ID), genome (GRCh37, GRCh38, mm9, mm10, rn6) and the COSMIC Mutational Signature release version. Our new downloads page can be found here.
Cancer_Gene_Census_Hallmarks_Of_Cancer.tsv.gz -We are providing a new Hallmark download file. This is a manually curated resource which will continue to expand and build upon the high-quality Cancer Gene Census project that COSMIC is well known for.
For more information please have a look at the download page, here. Website changes We have aligned the website with the downloads, bymerging the SNPs and noSNPs databases as a response to user feedback. This is so that thedownload files will now mirror what is displayed on the website. The SNPs are still going to beidentified in the download files as before. They remain on the website, with the fullmutation information displayed.
Initially we excluded these SNPs from thewebsite but from v92 we now include them, but with a flag. The Overview section of eachmutation page shows 'SNP Yes' if a mutation has been flagged. Here is an example. SNP flagging is applied towhole genome screens, but not targeted gene screens which are added from expert manualcuration. There is a column in each mutation download file which allows SNPs to beidentified and filtered out if desired.
FGFR4 (Fibroblastgrowth factor receptor 4) belongs to a gene family of receptor tyrosine kinasesencoding cell surface receptors for fibroblast growth factors. It is mainly expressedduring embryonic development and tissue repair following injury, with expressiondeclining postnatally. Dysregulation of FGFR4 via over expression, gene amplification,somatic mutation and germline mutation all play important roles in both cancerdevelopment and progression. Somatic mutations have been found in various primary andmetastatic cancers including breast (with enrichment in invasive lobular type),prostate, lung and colorectal as well as hepatocellular carcinoma and the predominantlychildhood cancer rhabdomyosarcoma (RMS), with enrichment in embryonic RMS type. FGFR4has been shown to be highly expressed in RMS tissue and frequently mutated. FGFR4somatic mutations are often oncogenic missense mutations found across the gene, with ahotspot at p.V550 within the tyrosine kinase domain. FGFR4 is considered a druggabletarget although several mutations have been shown to cause strong resistance to Type Iand some Type II inhibitors.
CosmicCodingMuts.normal.vcf.gz/ CosmicNonCodingMuts.normal.vcf.gz/ CellLinesCodingMuts.normal.vcf.gz/ CellLinesNonCodingMuts.normal.vcf.gz - We have also improved our VCF files to include HGVS syntaxes on the genomic (HGVSG), on the cds (HGVSC) to include the transcript accession number with the version and on the peptide (HGVSP) with Ensembl's peptide accession.
To our VCF files, we have added normalised version denoted with the suffix , where each variant is 5' shifted whilst maintaining the HGVS compliant (3' shifted) syntaxes in the INFO section. This reflects the non-normalised version where different. We have also compressed these files with bgzip following user feedback.
As each variant has been mapped on all relevant Ensembl transcripts, the number of rows in the majority of variant download files has increased significantly. In the download files, additional columns are provided including the legacy identifier (COSM) and the new genomic identifier (COSV). An internal mutation identifier is also provided to uniquely represent each mutation on a specific transcript on a given assembly build. The accession and version number for transcripts are included. File descriptions for each of the download files will be available from the downloads page for clarity.
Files for v86 are available on our SFTP site but this is now a legacy service which is no longer supported. For more information about the files available, how to download from the command line, and help with automating the download process please visit the following help pages -
We have extended the new '1-click' download service released in February to include previous versions of COSMIC (from v81) and added functionality to support users who use command line tools and automate downloads. The SFTP site will cease to be supported from our next release (v86 scheduled for August). For more information about the files available, how to download from the command line, and help with automating the download process please visit the following help pages -
We have launched a new download service which allows users to download all complete data files from the website, avoiding the need to connect to our SFTP server.To use this service you will need to login and visit the download page. For each downloadable file there are now two or three download buttons -'Download Whole File', 'Download Filtered File' and 'Access via SFTP Server'. Every available file can be downloaded from the website or SFTP server, but the option to download filtered data is not available for all files.
The old websites have been updated to v82 and will continue as the legacy website and GRCh37 (archive) legacy website. These will be available until the next release in November 2017, but we do not plan to maintain them beyond that date. However, we will continue to provide our download files as both GRCh38 and GRCh37 versions for the foreseeable future.
To be able to provide high-confidence and comprehensive data, we have divided the CGC into two tiers. Currently, only the Tier 1 genes are shown on the website and in the download files.
An API and new web interfaces for downloading COSMIC data will also be developed and rolled out in 2017. As part of these developments, and due to incompatibility between BioMart (0.7) and the latest version of our Oracle databases, we are discontinuing support for the COSMICMart in this release.
We are considering changing the compatibility of the Oracle data pump export files from supporting Oracle 10g to 11g (11.2). If this change will cause problems for you, please let us know by emailing the COSMIC helpdesk (email@example.com).
We have excluded data from any sample with over 15,000 mutations. In addition, we have flagged all known SNPs as defined by the 1000 genomes project, dbSNP and a panel of 378 normal (non-cancer) samples from Sanger CGP sequencing. Using this approach 812,136 mutations have been flagged. Although all data are included in our download files, we have excluded flagged mutations from the website.
COSMIC is a free resource to the cancer research community, released 4 times a year and available in a number of different ways. While the website is best used to explore the information, the most comprehensive datasets are obtained via download, where the entire database can be obtained in various formats. Over future releases we intend to tidy these systems. So we can do this most effectively, we are asking those who download our large data files to register their interest, so we can begin to understand which files are most useful and which are irrelevant. This will also enable us to discuss with those most interested, how these files and systems should evolve as we begin to consider how the project should develop over the next few years.
For this release of COSMIC the database and web interfaces have been upgraded to handle Next Generation Sequencing Data. This is part of ongoing work to allow COSMIC to handle the increased volumes and complexity of somatic data that is anticipated from Next Generation Sequencers. In particular, for this release we have concentrated on adapting COSMIC to handle large-scale structural variants (including translocations, large insertions/deletions, inversions, and duplications). 041b061a72