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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/43094?offset=0</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43663/vcf2maf-convert</guid>
	<pubDate>Fri, 17 Dec 2021 03:20:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43663/vcf2maf-convert</link>
	<title><![CDATA[vcf2maf convert !]]></title>
	<description><![CDATA[<p>To convert a <a href="http://samtools.github.io/hts-specs/">VCF</a> into a <a href="https://docs.gdc.cancer.gov/Data/File_Formats/MAF_Format">MAF</a>, each variant must be mapped to only one of all possible gene transcripts/isoforms that it might affect. But even within a single isoform, a <code>Missense_Mutation</code> close enough to a <code>Splice_Site</code>, can be labeled as either in MAF format, but not as both. <strong>This selection of a single effect per variant, is often subjective. And that's what this project attempts to standardize.</strong> The <code>vcf2maf</code> and <code>maf2maf</code> scripts leave most of that responsibility to <a href="http://useast.ensembl.org/info/docs/tools/vep/index.html">Ensembl's VEP</a>, but allows you to override their "canonical" isoforms, or use a custom ExAC VCF for annotation. Though the most useful feature is the <strong>extensive support in parsing a wide range of crappy MAF-like or VCF-like formats</strong> we've seen out in the wild.</p><p>Address of the bookmark: <a href="https://github.com/mskcc/vcf2maf" rel="nofollow">https://github.com/mskcc/vcf2maf</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38004/vcfr-a-package-to-manipulate-and-visualize-vcf-data-in-r</guid>
	<pubDate>Thu, 25 Oct 2018 09:05:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38004/vcfr-a-package-to-manipulate-and-visualize-vcf-data-in-r</link>
	<title><![CDATA[vcfR:  a package to manipulate and visualize VCF data in R]]></title>
	<description><![CDATA[<p><span>VcfR is an R package intended to allow easy manipulation and visualization of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices from the VCF data for use with typical R functions. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file or converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and the R environment connecting familiar software with genomic data.</span></p><p>Address of the bookmark: <a href="https://github.com/knausb/vcfR" rel="nofollow">https://github.com/knausb/vcfR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/34600/converting-blast-output-into-csv</guid>
	<pubDate>Mon, 11 Dec 2017 04:17:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/34600/converting-blast-output-into-csv</link>
	<title><![CDATA[Converting BLAST output into CSV]]></title>
	<description><![CDATA[<p>Suppose we wanted to do something with all this BLAST output. Generally, that&rsquo;s the case - you want to retrieve all matches, or do a reciprocal BLAST, or something.</p><p>As with most programs that run on UNIX, the text output is in some specific format. If the program is popular enough, there will be one or more parsers written for that format &ndash; these are just utilities written to help you retrieve whatever information you are interested in from the output.</p><p>Let&rsquo;s conclude this tutorial by converting the BLAST output in out.txt into a spreadsheet format, using a Python script.&nbsp;</p><p>First, we need to get the script. We&rsquo;ll do that using the &lsquo;git&rsquo; program:</p><div><div><pre>git clone <a href="https://github.com/ngs-docs/ngs-scripts.git">https://github.com/ngs-docs/ngs-scripts.git</a> /root/ngs-scripts
</pre></div></div><p>We&rsquo;ll discuss &lsquo;git&rsquo; more later; for now, just think of it as a way to get ahold of a particular set of files. In this case, we&rsquo;ve placed the files in /root/ngs-scripts/, and you&rsquo;re looking to run the script blast/blast-to-csv.py using Python:</p><div><div><pre>python /root/ngs-scripts/blast/blast-to-csv.py out.txt
</pre></div></div><p>This outputs a spread-sheet like list of names and e-values. To save this to a file, do:</p><div><div><pre>python /root/ngs-scripts/blast/blast-to-csv.py out.txt &gt; ~out.csv
</pre></div></div><p>If you have Excel installed, try double clicking on it.</p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43810/seqfu-a-suite-of-utilities-for-the-robust-and-reproducible-manipulation-of-sequence-files</guid>
	<pubDate>Tue, 01 Mar 2022 03:13:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43810/seqfu-a-suite-of-utilities-for-the-robust-and-reproducible-manipulation-of-sequence-files</link>
	<title><![CDATA[SeqFu: A Suite of Utilities for the Robust and Reproducible Manipulation of Sequence Files]]></title>
	<description><![CDATA[<p>A general-purpose program to manipulate and parse information from FASTA/FASTQ files, supporting gzipped input files. Includes functions to&nbsp;<em>interleave</em>&nbsp;and&nbsp;<em>de-interleave</em>&nbsp;FASTQ files, to&nbsp;<em>rename</em>&nbsp;sequences and to&nbsp;<em>count</em>&nbsp;and print&nbsp;<em>statistics</em>&nbsp;on sequence lengths. SeqFu is available for Linux and MacOS.</p>
<ul>
<li>A compiled program delivering high performance analyses</li>
<li>Supports FASTA/FASTQ files, also Gzip compressed</li>
<li>A growing collection of handy utilities, also for quick inspection of the datasets</li>
</ul>
<p>Can be easily&nbsp;<a href="https://telatin.github.io/seqfu2/installation">installed</a>&nbsp;via conda:</p>
<div>
<div>
<pre><code>conda <span>install</span> <span>-c</span> bioconda seqfu</code></pre>
</div>
</div><p>Address of the bookmark: <a href="https://telatin.github.io/seqfu2/" rel="nofollow">https://telatin.github.io/seqfu2/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38172/bamview-a-free-interactive-display-of-read-alignments-in-bam-data-files</guid>
	<pubDate>Fri, 09 Nov 2018 13:43:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38172/bamview-a-free-interactive-display-of-read-alignments-in-bam-data-files</link>
	<title><![CDATA[BamView: a free interactive display of read alignments in BAM data files]]></title>
	<description><![CDATA[<p>To run the application on UNIX from the downloaded jar file run the UNIX:</p>
<p><tt>java -mx512m -jar BamView.jar</tt></p>
<p>and extra command line options are given when '-h' is used:</p>
<p><tt>java -jar BamView.jar -h</tt></p>
<p>BAM files can be specified on the command line with the '-a' option:</p>
<p><tt>java -mx512m -jar BamView.jar -a pathToFile/sorted.bam</tt></p>
<p>If a BAM filename is not given on the command line BamView will prompt for a file to be entered. The BAM index file should have the same name as the BAM file but with a '.bai' suffix. Multiple BAM files can be loaded and overlaid in the viewer. To make this easier BamView will read in files that contain a list of filenames.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://bamview.sourceforge.net/" rel="nofollow">http://bamview.sourceforge.net/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29410/entrez-direct-e-utilities-on-the-unix-command-line</guid>
	<pubDate>Wed, 19 Oct 2016 08:06:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29410/entrez-direct-e-utilities-on-the-unix-command-line</link>
	<title><![CDATA[Entrez Direct: E-utilities on the UNIX Command Line]]></title>
	<description><![CDATA[<p>Entrez Direct (EDirect) is an advanced method for accessing the NCBI's suite of interconnected databases (publication, sequence, structure, gene, variation, expression, etc.) from a UNIX terminal window. Functions take search terms from command-line arguments. Individual operations are combined to build multi-step queries. Record retrieval and formatting normally complete the process.</p>
<p>EDirect also provides an argument-driven function that simplifies the extraction of data from document summaries or other results that are returned in structured XML format. This can eliminate the need for writing custom software to answer ad hoc questions. Queries can move seamlessly between EDirect commands and UNIX utilities or scripts to perform actions that cannot be accomplished entirely within Entrez.</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/books/NBK179288/" rel="nofollow">https://www.ncbi.nlm.nih.gov/books/NBK179288/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34699/biological-file-format-tutorial</guid>
	<pubDate>Sun, 17 Dec 2017 18:13:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34699/biological-file-format-tutorial</link>
	<title><![CDATA[Biological file format tutorial]]></title>
	<description><![CDATA[<p>This section explains some of the commonly used file formats in bioinformatics. The information provided here is basic and designed to help users to distinguish the difference between different formats. Please refer user manual or other information resources on web for more details.</p>
<ol>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_fasta">FASTA</a></li>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_fastq">FASTQ</a></li>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_sam">SAM</a></li>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_bam">BAM</a></li>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_vcf">VCF</a></li>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_gff">GFF</a></li>
<li><a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/#fileformats_gtf">GTF</a></li>
</ol><p>Address of the bookmark: <a href="https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/" rel="nofollow">https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36624/convert-vcf-to-tab-deilimited-table</guid>
	<pubDate>Tue, 15 May 2018 07:39:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36624/convert-vcf-to-tab-deilimited-table</link>
	<title><![CDATA[Convert VCF to tab-deilimited table]]></title>
	<description><![CDATA[
<p>Performed with GATK :</p>

<p>java -Xmx8g -jar GenomeAnalysisTK.jar \<br /> -T VariantsToTable \<br /> -R reference.fa \<br /> -V reference_genomes_GT.vcf \<br /> -F CHROM -F POS -F REF -F ALT -GF GT \<br /> -o reference_genomes_GT.table<br />multiple_sample.vcf should also be converted to multiple_sample_GT.table using this approach.</p>
]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44320/tools-for-id-conversion</guid>
	<pubDate>Sat, 20 May 2023 21:53:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44320/tools-for-id-conversion</link>
	<title><![CDATA[Tools for id conversion]]></title>
	<description><![CDATA[<p><strong>g:Convert</strong><span>&nbsp;enables to convert between various gene, protein, microarray probe and numerous other types of namespaces. We provide at least 40 types of IDs for more than 60 species. The 98 different namespaces supported for human include Ensembl, Refseq, Illumina, Entrezgene and Uniprot identifiers. All namespaces are obtained through matching them via Ensembl gene identifiers as a reference.</span></p><p>Address of the bookmark: <a href="https://biit.cs.ut.ee/gprofiler/convert" rel="nofollow">https://biit.cs.ut.ee/gprofiler/convert</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44801/magic-wormhole-the-easiest-way-to-send-files-securely</guid>
	<pubDate>Wed, 28 May 2025 06:37:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44801/magic-wormhole-the-easiest-way-to-send-files-securely</link>
	<title><![CDATA[Magic Wormhole: The Easiest Way to Send Files Securely]]></title>
	<description><![CDATA[<p>In a world increasingly dependent on digital data exchange, secure and user-friendly file transfer solutions are more important than ever. Enter Magic Wormhole, a deceptively simple yet powerful tool that makes it trivial to send files and messages between computers&mdash;securely and without configuration. Whether you're transferring a PDF to a colleague or sending code snippets between your devices, Magic Wormhole has you covered.</p><p><strong>What is Magic Wormhole?</strong><br />Magic Wormhole is an open-source command-line tool that allows you to securely send files or text from one computer to another. Developed by Brian Warner, it aims to eliminate the usual hassle of file transfers: setting up SSH servers, dealing with firewall rules, cloud storage uploads, or even worrying about man-in-the-middle attacks.</p><p>Using a combination of PAKE (Password-Authenticated Key Exchange) protocols and end-to-end encryption, Magic Wormhole ensures that the only parties who can see your data are you and your recipient.</p><p>&ldquo;It uses PAKE to establish a secure channel between two computers that use the same one-time code.&rdquo;</p><p><strong>How Does It Work?</strong></p><p>One user runs a command like wormhole send file.txt.</p><p>The tool generates a human-readable, one-time code (like 7-horse-staple).</p><p>The other user types wormhole receive and enters the code.</p><p>The file is encrypted, transferred directly (or relayed if needed), and decrypted only on the recipient's side.</p><p>All of this happens over a secure channel, with no manual key exchange, configuration, or trust in a central authority.</p><blockquote><p><strong>Example Usage</strong><br /># Sender<br />wormhole send myfile.pdf<br />Sending 1.4 MB file named 'myfile.pdf'<br />Wormhole code is: 7-horse-staple</p><p># Receiver<br />wormhole receive<br />Please enter code: 7-horse-staple<br />Receiving file (1.4 MB) into: myfile.pdf</p><p><br />That&rsquo;s it! No email attachments, no cloud storage, no FTP setups.</p></blockquote><p>Why Use Magic Wormhole?<br />End-to-end encrypted transfers using modern cryptography.</p><p>Easy to use even for non-technical users.</p><p>Cross-platform: Works on Linux, macOS, and Windows.</p><p>No servers needed (except for a lightweight transit relay).</p><p>Works even behind NAT/firewalls.</p><p><strong>It&rsquo;s particularly ideal for:</strong></p><p>Quickly sharing secrets or passwords.</p><p>Distributing software packages securely.</p><p>Moving files between servers or VMs.</p><p><strong>Under the Hood</strong><br />Magic Wormhole is written in Python and uses:</p><p>SPAKE2 for key exchange.</p><p>Transit relay and Mailbox server for message delivery.</p><p>Twisted framework for asynchronous networking.</p><p>The communication process is decentralized and designed to minimize the trust placed in the relay infrastructure. Even if an attacker intercepts the transit server, they cannot decrypt your data.</p><p><strong>Installation</strong></p><p>You can install it easily with pip:</p><p>pip install magic-wormhole</p><p><br /><strong>There&rsquo;s also a Homebrew package for macOS users</strong>:</p><p>brew install magic-wormhole<br />Community and Ecosystem<br />Magic Wormhole is more than just a file transfer tool. It's part of a growing ecosystem that values user-centric cryptography. There are community-maintained libraries for other languages (e.g., Go, Rust), GUI frontends like wormhole-gui, and integration projects for mobile and web use.</p><p><strong>Limitations</strong></p><p>While Magic Wormhole is elegant and secure, it&rsquo;s primarily a command-line utility and not designed for high-volume or persistent file sharing. Transfers require both sender and receiver to be online at the same time. And since it&rsquo;s peer-to-peer, very large files may suffer performance issues.</p><p><strong>Conclusion</strong><br />Magic Wormhole is a breath of fresh air in the complex world of secure communication. It proves that cryptographic security doesn&rsquo;t need to come with a heavy user experience cost. If you&rsquo;re looking for a simple, secure, and delightful way to send files or messages, give Magic Wormhole a try.</p><p>Explore the documentation: https://magic-wormhole.readthedocs.io</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

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