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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

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2 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

About

No description, website, or topics provided.

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6 stars

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2 watching

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

About

No description, website, or topics provided.

Resources

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6 stars

Watchers

2 watching

Forks

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

About

No description, website, or topics provided.

Resources

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6 stars

Watchers

2 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

About

No description, website, or topics provided.

Resources

Stars

6 stars

Watchers

2 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

About

No description, website, or topics provided.

Resources

Stars

6 stars

Watchers

2 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

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BAFExtract

BAFExtract generates the B-allele frequency shifts from mapped reads alone without the need for a heterozygous variant call set. BAFExtract a part of CaSpER (https://github.com/akdess/CaSpER)

There are two steps:

  1. Generation of the pileup.
  2. Generation of the B-allele frequency profile.

Please open a new "issue" on github or contact authors Akdes.Harmanci@uth.tmc.edu or arif.o.harmanci@uth.tmc.edu for questions.

Installation

Type make to build BAFExtract. The executable is built under bin directory. The code is tested on various Unix based systems.

Usage

Extract BAF values from RNA-Seq bam files

	samtools view <bam_file> | ./BAFExtract -generate_compressed_pileup_per_SAM stdin <genome_list> <sample_dir> 50 0; ./BAFExtract -get_SNVs_per_pileup <genome_list> <sample_dir> <genome_fasta_pileup_dir> 20 4 0.1 <output_baf_file>

<sample_dir>: the name of sample directory <output_baf_file>: final output

You can download and unzip genome_fasta_pileup_dir files from :

for hg38

for hg19

Or you can create genome_fasta_pileup_dir files for other genomes using the following commands:

BAFExtract -preprocess_FASTA [FASTA file path] [Output directory]

for example:

wget -c http://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/chromFa.tar.gz
tar -xvzf chromFa.tar.gz
mkdir ../mm10
FILES=./*fa
for f in $FILES
do
echo "Processing $f file..."
BAFExtract -preprocess_FASTA $f ../mm10
done

You can download genome_list files from :

for hg38

generated using the following command:

fetchChromSizes hg38 > hg38.list

for hg19

generated using the following command:

fetchChromSizes hg19 > hg19.list

Example

download example bam file

mkdir test; samtools view SRR1295366.sorted.bam | ./bin/BAFExtract -generate_compressed_pileup_per_SAM stdin hg38.list test 50 0; ./bin/BAFExtract -get_SNVs_per_pileup hg38.list test ./hg38/ 20 4 0.1 test.snp

Note: In the example above ./BAFExtract -generate_compressed_pileup_per_SAM uses mimunum mapping quality threshold 50. Depending on the aligner you used the MAPQ-Values can differ a lot and the setting of [Minimum mapping quality] to 50 could mean that no reads are surviving the filtering, only due to the aligners implementation of MAPQ. (acknowledgements to Tobias Tekath)

About

No description, website, or topics provided.

Resources

Stars

6 stars

Watchers

2 watching

Forks

Releases

Packages

Contributors

Languages