{"id":774,"date":"2014-02-17T19:49:23","date_gmt":"2014-02-17T10:49:23","guid":{"rendered":"http:\/\/nagasakilab.csml.org\/en\/?page_id=774"},"modified":"2024-02-16T09:34:01","modified_gmt":"2024-02-16T00:34:01","slug":"hapmonster","status":"publish","type":"page","link":"https:\/\/nagasakilab.csml.org\/en\/hapmonster","title":{"rendered":"HapMonster"},"content":{"rendered":"<h3 class=\"sub\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1237 size-medium\" src=\"http:\/\/nagasakilab.csml.org\/en\/wp-content\/uploads\/2014\/02\/hapmonster-300x178.png\" alt=\"hapmonster\" width=\"300\" height=\"178\" \/><\/h3>\n<h3 class=\"sub\"><strong>Overview<br \/>\n<\/strong><\/h3>\n<p style=\"padding-left: 30px;\">HapMonster is a Java program that enables simultaneous variant calling and haplotype phasing for next generation sequencing data. Phased haplotypes are estimated based on phase-informative reads which span multiple heterozygous variant sites.<\/p>\n<h3 class=\"sub\"><strong>Input<br \/>\n<\/strong><\/h3>\n<p style=\"padding-left: 30px;\">The sequence read data in SAM or BAM format (BAM file with BAQ information is recommended)<\/p>\n<h3 class=\"sub\"><strong>Output<\/strong><\/h3>\n<p style=\"padding-left: 30px;\">Variant calling and haplotype phasing results in VCF format<\/p>\n<h3 class=\"sub\"><strong>Usage<\/strong><\/h3>\n<p style=\"padding-left: 30px;\">Example<\/p>\n<blockquote>\n<pre>  java -jar HapMonster.jar \\\n    VariantCall \\\n    -r reference_genome.fasta \\\n    -t chr1 \\\n    -d average_depth \\\n    -il true \\\n    &lt;SAM or BAM file&gt; \\\n    &lt;VCF file&gt;<\/pre>\n<\/blockquote>\n<h3 class=\"sub\"><strong>Options<\/strong><\/h3>\n<table style=\"margin-left: 30px; margin-top: 30px;\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"142\"><b>Option<\/b><\/td>\n<td valign=\"top\" width=\"142\"><b>Default Value<\/b><\/td>\n<td valign=\"top\" width=\"142\"><b>Summary<\/b><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-r (--reference) STR<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">none<\/td>\n<td valign=\"top\" width=\"142\">Reference genome fasta file*<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-d (--depth) INT<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">none<\/td>\n<td valign=\"top\" width=\"142\">Read coverage*<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-t (--target-region) STR<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">none<\/td>\n<td valign=\"top\" width=\"142\">Target region for variant calling*<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-c (--call-range-size) INT<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">2500000<\/td>\n<td valign=\"top\" width=\"142\">Variant calling range size<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-h (--help)<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">false<\/td>\n<td valign=\"top\" width=\"142\">Print options and exit<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-i (--iteration) INT<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">20<\/td>\n<td valign=\"top\" width=\"142\">Iteration count<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-il (--illumina) [true\/false]<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">false<\/td>\n<td valign=\"top\" width=\"142\">Use Illumina HiSeq read correction mode<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-l (--depth-limit) INT<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">500<\/td>\n<td valign=\"top\" width=\"142\">Depth limit<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-m (--margin) INT<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">1000<\/td>\n<td valign=\"top\" width=\"142\">Margin for variant calling<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-p (--use-paired-end) [true\/false]<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">true<\/td>\n<td valign=\"top\" width=\"142\">Consider paired-end reads<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-rp (--reference-prior) DOUBLE<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">0.135<\/td>\n<td valign=\"top\" width=\"142\">Prior strength for reference allele<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-th (--threshold) DOUBLE<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">10.0<\/td>\n<td valign=\"top\" width=\"142\">Threshold for filtering variant calls<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"142\">\n<pre>-u (--unit-id) INT<\/pre>\n<\/td>\n<td valign=\"top\" width=\"142\">1<\/td>\n<td valign=\"top\" width=\"142\">Unit ID<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>* Required options<\/p>\n<h3 class=\"sub\"><strong>Download<\/strong><\/h3>\n<ul>\n<li>Jar file only: <a href=\"http:\/\/nagasakilab.csml.org\/data\/HapMonster.jar\">HapMonster.jar<\/a><\/li>\n<li>Jar file and example data: <a href=\"http:\/\/nagasakilab.csml.org\/data\/HapMonster.tgz\">HapMonster.tgz<\/a><\/li>\n<\/ul>\n<p>Citation<br \/>\nPlease cite the following manuscript related to this software:<\/p>\n<hr \/>\n<p>Kaname Kojima, Naoki Nariai, Takahiro Mimori, Yumi Yamaguchi-Kabata,<br \/>\nYukuto Sato, Yosuke Kawai and Masao Nagasaki,<br \/>\nHapMonster: a Statistically Unified Approach for Variant Calling and<br \/>\nHaplotyping Based on Phase-informative Reads,<br \/>\nLecture Notes in Bioinformatics, 8542, 107-118 (2014) (3\/Jul\/2014)<\/p>\n<p><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-07953-0_9\">https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-07953-0_9<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview HapMonster is a Java program that enables simultaneous variant calling and haplotype phasing for next generation sequencing data. Phased haplotypes are estimated based on phase-informative reads which span multiple heterozygous variant sites. Input The sequence read data in SAM &hellip; <a href=\"https:\/\/nagasakilab.csml.org\/en\/hapmonster\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"passster_activate_protection":false,"passster_protect_child_pages":"","passster_protection_type":"password","passster_password":"","passster_activate_overwrite_defaults":"","passster_headline":"","passster_instruction":"","passster_placeholder":"","passster_button":"","passster_id":"","passster_activate_misc_settings":"","passster_redirect_url":"","passster_hide":"no","passster_area_shortcode":"","footnotes":""},"class_list":["post-774","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages\/774","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/comments?post=774"}],"version-history":[{"count":28,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages\/774\/revisions"}],"predecessor-version":[{"id":2573,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages\/774\/revisions\/2573"}],"wp:attachment":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/media?parent=774"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}