DKOBOLDT . GITHUB . IO {
}
Detected CMS Systems:
- Adobe Dreamweaver (1 occurrences)
Title:
VarScan - Variant Detection in Massively Parallel Sequencing Data
Description:
No description found...
Website Age:
12 years and 3 months (reg. 2013-03-08).
Matching Content Categories {📚}
- Technology & Computing
- Education
- Science
Content Management System {📝}
What CMS is dkoboldt.github.io built with?
Dkoboldt.github.io employs ADOBE DREAMWEAVER.
Traffic Estimate {📈}
What is the average monthly size of dkoboldt.github.io audience?
🚦 Initial Traffic: less than 1k visitors per month
Based on our best estimate, this website will receive around 19 visitors per month in the current month.
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How Does Dkoboldt.github.io Make Money? {💸}
We can't tell how the site generates income.
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Keywords {🔍}
varscan, sequencing, somatic, variants, released, calling, variant, number, vcf, data, copy, samples, mutations, mutation, output, manual, platforms, genome, exome, java, multisample, mpileup, tumornormal, depth, compatibility, massively, parallel, download, users, germline, detect, types, release, quality, fixes, features, option, tumor, detection, javadoc, faq, forum, support, technologies, study, genetics, illumina, nextgeneration, ngs, substantial,
Topics {✒️}
support/faq varscan overview support faq launched cover mpileup/multi-sample calling platform-independent mutation caller robust heuristic/statistic approach immense public/private datasets tumor-normal exome pairs multi-sample variant calling tumor-normal exome data download tumor-normal mpileup compatibility identifying copy number multi-sample vcf output detecting subclonal mutations multi-sample variants multi-sample datasets somatic mutation calling tumor-normal pairs somatic calling features multiple-sample calling massively parallel sequencing user' somatic cna detetion copynumber calling features ordered sample names somatic mutations features include normal reduced tumor cellularity published variant callers germline variants leading genome center substantial informatics challenge approaches generally work meet desired thresholds substantial computing resources pl accessory script missing columns due happy leap day copycaller post-processing frequently-asked questions varscan copynumber function variant allele frequency samtools mpileup output matched normal samples vcf column order varscan variant detection extended vcf compatibility java virtual machine manual larson de
Questions {❓}
- Why Use VarScan?
External Links {🔗}(20)
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