<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/19631?offset=1410</link>
	<atom:link href="https://bioinformaticsonline.com/related/19631?offset=1410" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44789/kallisto-vs-salmon-choosing-the-right-tool-for-rna-seq-quantification</guid>
	<pubDate>Fri, 02 May 2025 06:28:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44789/kallisto-vs-salmon-choosing-the-right-tool-for-rna-seq-quantification</link>
	<title><![CDATA[Kallisto vs Salmon: Choosing the Right Tool for RNA-Seq Quantification]]></title>
	<description><![CDATA[<p>In the world of transcriptomics, quantifying gene and transcript expression accurately and efficiently is crucial. With the explosion of RNA-Seq data, researchers have turned to fast, alignment-free tools that streamline the quantification process without compromising accuracy. Two leading tools in this space are&nbsp;<span>Kallisto</span>&nbsp;and&nbsp;<span>Salmon</span>. Both tools are highly efficient and widely used in the bioinformatics community, but they differ in subtle yet important ways. If you're unsure which one to use for your next RNA-Seq project, this post is for you.</p><h2>What Are Kallisto and Salmon?</h2><p>At their core, both&nbsp;<span>Kallisto</span>&nbsp;and&nbsp;<span>Salmon</span>&nbsp;are tools for&nbsp;<span>quantifying transcript abundance</span>&nbsp;from RNA-Seq reads. They bypass traditional alignment-based methods, replacing them with&nbsp;<span>pseudoalignment</span>&nbsp;or&nbsp;<span>quasi-mapping</span>, which drastically speeds up the process.</p><ul>
<li><span>Kallisto</span>&nbsp;was developed by Lior Pachter&rsquo;s lab and introduced the concept of&nbsp;<em>pseudoalignment</em>&nbsp;using a de Bruijn graph.</li>
<li><span>Salmon</span>, developed by Rob Patro&rsquo;s group, builds on this idea with&nbsp;<em>quasi-mapping</em>&nbsp;and offers additional features like advanced bias correction.</li>
</ul><h2>Head-to-Head Comparison</h2><h3>1. Algorithm</h3><ul>
<li><span>Kallisto</span>&nbsp;uses&nbsp;<em>pseudoalignment</em>, focusing on matching k-mers from reads to a transcriptome index.</li>
<li><span>Salmon</span>&nbsp;uses&nbsp;<em>quasi-mapping</em>, which adds more flexibility and can also work with aligned reads (BAM files).</li>
</ul><h3>2. Input and Flexibility</h3><ul>
<li><span>Kallisto</span>&nbsp;works with raw FASTQ reads and requires a custom transcriptome index.</li>
<li><span>Salmon</span>&nbsp;accepts FASTQ or pre-aligned BAM files, giving you more workflow options.</li>
</ul><h3>3. Bias Correction</h3><p>One of Salmon&rsquo;s major advantages is its sophisticated bias correction system. It corrects for:</p><ul>
<li>Sequence-specific bias</li>
<li>Positional bias</li>
<li>GC-content bias</li>
</ul><p>Kallisto offers basic sequence bias correction but lacks the comprehensive models found in Salmon.</p><h3>4. Speed and Resources</h3><ul>
<li><span>Kallisto</span>&nbsp;is blazing fast and slightly more memory-efficient.</li>
<li><span>Salmon</span>&nbsp;is still very fast, but the added features can come at a small computational cost.</li>
</ul><h3>5. Output and Downstream Analysis</h3><ul>
<li>Both tools provide transcript-level quantifications and support bootstrapping for variance estimation.</li>
<li><span>Salmon</span>&nbsp;can also summarize counts at the gene level if provided with a mapping file (<code>--geneMap</code>).</li>
<li>Kallisto integrates seamlessly with&nbsp;<span>Sleuth</span>&nbsp;for differential expression analysis.</li>
<li>Salmon works well with&nbsp;<span>tximport</span>,&nbsp;<span>DESeq2</span>,&nbsp;<span>edgeR</span>, and other Bioconductor tools.</li>
</ul><h2>Choosing the Right Tool</h2><table>
<thead>
<tr><th>Goal</th><th>Recommended Tool</th></tr>
</thead>
<tbody>
<tr>
<td>Maximum speed</td>
<td>Kallisto</td>
</tr>
<tr>
<td>Advanced bias correction</td>
<td>Salmon</td>
</tr>
<tr>
<td>Use BAM files</td>
<td>Salmon</td>
</tr>
<tr>
<td>Transcript-level quantification with Sleuth</td>
<td>Kallisto</td>
</tr>
<tr>
<td>Integration with DESeq2/edgeR</td>
<td>Salmon</td>
</tr>
</tbody>
</table><h2>Example Command Lines</h2><p><span>Kallisto</span>&nbsp;(paired-end):</p><pre><code>kallisto quant -i transcriptome.idx -o output -b 100 sample_R1.fastq sample_R2.fastq
</code></pre><p><span>Salmon</span>&nbsp;(paired-end, bias correction):</p><pre><code>salmon quant -i salmon_index -l A -1 sample_R1.fastq -2 sample_R2.fastq \
  -p 8 --validateMappings --seqBias --gcBias -o output
</code></pre><h2>Conclusion</h2><p>Both Kallisto and Salmon are exceptional tools that have transformed RNA-Seq analysis. Your choice largely depends on your priorities&mdash;whether it's speed, accuracy, flexibility, or compatibility with downstream tools.</p><p>For many users,&nbsp;<span>Salmon</span>&nbsp;offers a more complete and flexible solution, especially when bias correction and gene-level outputs are essential. However,&nbsp;<span>Kallisto</span>&nbsp;remains a favorite for quick, accurate quantification, especially when paired with the&nbsp;<span>Sleuth</span>&nbsp;pipeline.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37291/transrate-understanding-your-transcriptome-assembly</guid>
	<pubDate>Fri, 13 Jul 2018 07:49:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37291/transrate-understanding-your-transcriptome-assembly</link>
	<title><![CDATA[transrate: Understanding your transcriptome assembly]]></title>
	<description><![CDATA[<p><span>Transrate is software for&nbsp;</span><em>de-novo</em><span>&nbsp;transcriptome assembly quality analysis. It examines your assembly in detail and compares it to experimental evidence such as the sequencing reads, reporting quality scores for contigs and assemblies. This allows you to choose between assemblers and parameters, filter out the bad contigs from an assembly, and help decide when to stop trying to improve the assembly.</span></p><p>Address of the bookmark: <a href="http://hibberdlab.com/transrate/index.html" rel="nofollow">http://hibberdlab.com/transrate/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25323/project-fellow-positions-at-csir-ihbt-palampur</guid>
  <pubDate>Tue, 01 Dec 2015 05:45:58 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow Positions at CSIR-IHBT Palampur]]></title>
  <description><![CDATA[
<p>Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the different Sponsored/CSIR Networked Projects on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:</p>

<p>Sponsored/CSIR Networked Project:<br /> (i) Genomics and Informatics Solutions for Integrating Biology (GENESIS)" [BSC-0121] (up to March, 2017).<br />(ii) Profiling and characterization of early phase differential mi-RNA (s) responsible for downstream developmen of insulin resistance in hMSC derived adipocytes. (GAP-0188) [up to 31.03.2018].</p>

<p>Position:       	Project Fellow (2 position)<br />Age :           	28 years as on 18.12.15<br />Salary :        	Rs.12,000/- P.M.<br />			Rs.14,000/- P.M.<br />                	as per the funds provisions in the respective projects.<br />Eligibility Criteria :  1st Class B. Tech. in Bioinformatics/ Computational Biology<br />						OR<br />			M.Sc. in Bioinformatics/ Computational Biology with 55% marks<br />						OR<br />			M.Tech. in Bioinformatics/ Computational Biology with 55% marks<br />						OR<br />			M.Sc. in any field of Life Science with Diploma in Bioinformatics</p>

<p>Selection Procedure : 	Walk In Interview </p>

<p>Date :			18 Dec , 2015<br />Time :			10:00 A.M.<br />Venue : 		CSIR-IHBT Palampur (H.P.)</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25866/jrf-bioinformatics-at-national-chemical-laboratory</guid>
  <pubDate>Sun, 03 Jan 2016 05:59:05 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at National Chemical Laboratory]]></title>
  <description><![CDATA[
<p>Junior Project Fellow Bioinformatics<br />Eligibility : ME/M.Tech, MSc(Bio-Informatics)<br />Location : Pune<br />Last Date : 08 Jan 2016<br />Hiring Process : Written-test, Face to Face Interview<br />National Chemical Laboratory </p>

<p>Junior Project Fellow Jobs opportunity in National Chemical Laboratory on contract basis<br />Project Code : BSC0117  <br />Title of the Project : Plant?Microbe and Soil Interactions (PMSI)  <br />No. of Post : 01<br />Qualification : M.Tech. / M.Sc. in Bioinformatics from a recognized university with minimum of 55% marks (aggregate) and sound Bioinformatics knowledge / experience<br />Desirable : Good knowledge of Linux (command line and GUI) and SQL; Java / Perl / Python / R / Bash programing / scripting; Analysis of NGS data; Protein modeling / docking; Development and maintenance of web &amp; database servers, etc<br />Emoluments : Rs. 16,000/?<br />Age Limit : 28 Years<br />Selection Procedure : Written Test / Interview<br />How to apply<br />Applications neatly typed in the prescribed proforma (enclosed herewith) duly completed and signed together with photo?copies of relevant certificates/ testimonials and photograph should be addressed to : The Head, Biochemical Sciences Division, Attn : Dr. Narendra Kadoo, CSIR?National Chemical Laboratory, Dr. Homi Bhabha Road, Pashan, Pune 411 008, so as to reach on or before 08/01/2016. Please superscribe the envelop “Application for Junior Project Fellow (Project: BSC0117)”.</p>

<p>More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26500/postdoc-at-iiser-tvm</guid>
  <pubDate>Fri, 26 Feb 2016 03:53:05 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc at IISER -TVM]]></title>
  <description><![CDATA[
<p>Postdoctoral Fellowship/ Research Associateship</p>

<p>Eligibility : M Phil / Phd</p>

<p>Location : Thiruvananthapuram</p>

<p>Last Date : 30 Apr 2016</p>

<p>Hiring Process : Face to Face Interview<br />IISER -TVM </p>

<p>The Postdoctoral Fellowship/Research Associateship is a full-time, contractual position for highly qualified young scientists to carry out research at CCMS, IISER-TVM.</p>

<p>Research areas at the Centre</p>

<p>Quantum Chemistry/ Computational Fluid Dynamics/Condensed Matter Physics (Theory)/Genomics/Genetics/Gravitational Waves</p>

<p>Qualifications: PhD in Bioinformatics / Biophysics / Physics / Astrophysics / Chemistry / Mathematics / Engineering (Mechanical/Aerospace) Those who are in the final stages of their Ph.D. thesis submission are also eligible to apply. However, those candidates must have submitted the thesis at the time of the interview.</p>

<p>Experience: Applicants should have at least three peer reviewed publications and relevant experience in the research area they are applying for.</p>

<p>No. of positions: 5</p>

<p>Age limit: 35 yrs or below. A relaxation of 5 yrs will be applicable to candidates belonging to SC/ST/OBC and women candidates</p>

<p>Salary: The Fellowship carries a remuneration of INR Rs. 5,18,000 - Rs. 5,76,000 per annum (including HRA). The postdoctoral fellowship may not be held concurrently with any other national or international fellowships. It is also not transferable to any other fellowship<br />How to apply</p>

<p>Applications should reach the Head, CCMS, IISER Thiruvananthapuram,CET Campus, Engineering College PO,Thiruvananthapuram 695016 on or before April 30, 2016 by e-mail to ccms@iisertvm.ac.in by mentioning the research area name in the subject line. </p>

<p>More at http://www.iisertvm.ac.in/openings/read_opening/150.phpx</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26363/flo</guid>
	<pubDate>Wed, 10 Feb 2016 10:52:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26363/flo</link>
	<title><![CDATA[flo]]></title>
	<description><![CDATA[<p>flo - same species annotations lift over pipeline</p>
<p>Lift over is the process of transferring annotations from one genome assembly to another. Usually lift over is done because there is a new, improved genome assembly for the species and good quality annotations (maybe manually curated or experimentally verified) are available on the old assembly.</p>
<p>The idea is simple: align the new assembly with the old one (e.g., with BLAT), process the alignment data to define how a coordinate or coordinate range on the old assembly should be transformed to the new assembly (e.g., as a chain file), transform the coordinates (e.g., with liftOver).</p>
<p>&nbsp;</p>
<p>https://github.com/wurmlab/flo</p><p>Address of the bookmark: <a href="https://github.com/wurmlab/flo" rel="nofollow">https://github.com/wurmlab/flo</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26382/project-assistant-jrf-at-north-eastern-hill-university</guid>
  <pubDate>Fri, 12 Feb 2016 09:23:01 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant/ JRF at North Eastern Hill University]]></title>
  <description><![CDATA[
<p>Project Assistant/ JRF</p>

<p>Eligibility : ME/M.Tech, Any Graduate, MSc</p>

<p>Location : Shillong</p>

<p>Last Date : 23 Feb 2016</p>

<p>Hiring Process : Face to Face Interview<br />North Eastern Hill University</p>

<p>Project Assistant/ JRF Jobs recruitment in North Eastern Hill University on temporary basis</p>

<p>Project Title : "Next Generation Sequencing (NGS)-based de novo assembly of expressed transcripts and genome information of Orchids in North-East India"</p>

<p>Project Assistant</p>

<p>No. of Post : 01</p>

<p>Qualifications : Graduation</p>

<p>Desirable : Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.</p>

<p>JRF</p>

<p>No. of Post : 01</p>

<p>Qualifications : M.Tech/M.Sc in Life Sciences/Botany/Biotechnology/ Bioinformatics;</p>

<p>Desirable : Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis<br />How to apply</p>

<p>The applications through email bicnehu@gmail.com or post must reach the Dr. Devendra Kumar Biswal, Co-Principal Investigator (Co-PI) within 15 days from the date of publication of this advertisement.</p>

<p>More at http://www.nehu.ac.in/Advertisements/projectVacancy.php</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26438/scientist-at-regional-medical-research-centre-icmr-rmrc-port-blair</guid>
  <pubDate>Mon, 22 Feb 2016 04:38:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist at Regional Medical Research Centre (ICMR), RMRC, Port Blair]]></title>
  <description><![CDATA[
<p>Scientist</p>

<p>Eligibility : MSc, M Phil / Phd, BE/B.Tech</p>

<p>Location : Delhi</p>

<p>Last Date : 08 Mar 2016</p>

<p>Hiring Process : Walk - In<br />Regional Medical Research Centre - </p>

<p>Notification Order No.1-51/Proj/RMRC/PB/</p>

<p>Scientist – II (Post Code: BIC-II) job position in Regional Medical Research Centre (ICMR)</p>

<p>Essential Qualification: 1 st class Master’s degree in Bioinformatics / Computational Biology.  B.E / B.Tech (Bioinformatics / Computer Science / Biotechnology) OR 2nd Class M.Sc. with Ph.D. in Bioinformatics / Computational Biology / Life Science.</p>

<p>Desirable Qualification:  Post-doctoral research experience in Bioinformatics / Computational Biology / Computer Science / Life Science at a recognized institution.  Experience in handling and analyzing sequencing data.  Experience in scripting languages (PERL/PYTHON) etc./ Statistical software.  Experience in developing research projects.</p>

<p>Number of Post: 1 UR</p>

<p>Place of Posting: RMRC, Port Blair </p>

<p>Age Limit: 40 years</p>

<p>Pay Scale : Rs.45,954<br />How to apply</p>

<p>Interested candidates are invited to submit applications along with copies of all the certificates of educational qualifications, date of birth, working experience etc . on the affixing a passport size photograph by Application Format to attend a walk-in interview on 8th March 2016 at 10:30 AM.</p>

<p>More at http://www.icmr.nic.in/icmrnews/port%20blair%20Bioinf%2003-2016.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26562/jrf-at-icgeb</guid>
  <pubDate>Fri, 04 Mar 2016 05:34:42 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF at ICGEB]]></title>
  <description><![CDATA[
<p>Vacancy Notice PU/TS/01-16</p>

<p>JRF jobs in International Centre for Genetic Engineering and Biotechnology</p>

<p>Area of research: Computational analysis of protein-protein interactions and metabolic reconstruction of pathways</p>

<p>Qualification : Suitable candidate must have completed Masters in Computer Science/Physics/Mathematics/Bioinformatics or PG diploma in Bioinformatics with very sound programming skills shown in the form of completed project or paper. Programming Skill required: Java/perl/python or any other scripting language and working knowledge of MySQL. Candidate should have some familiarity with R statistical package.</p>

<p>The salary will be as per the guidelines of DBT/DST, based on qualification and experience.</p>

<p>How to apply</p>

<p>Interested candidates may send application along with CV via email to hemant@icgeb.res.in  (Dr. Hemant Ritturaj Kushwaha) on or before 08/03/2016. Candidates applying through Email must mention “Application for JRF” in their subject line.</p>

<p>More at http://www.icgeb.org/vacancies.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26712/post-doctoral-fellow-jobs-opportunity-in-srm-university</guid>
  <pubDate>Thu, 17 Mar 2016 11:20:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Post-Doctoral Fellow Jobs opportunity in SRM University]]></title>
  <description><![CDATA[
<p>Post-Doctoral Fellow Jobs opportunity in SRM University</p>

<p>Essential qualification : Ph.D. in Bioinformatics/Biotechnology/Genetics/Computational Biology.Understanding of genomics data and advanced knowledge of Java, and C/C++ as the programming languages and the scripting language like perl and/or Python, SQL is preferred. Experience in High Performance Computing, data architecture, database development is desirable</p>

<p>Fellowship: Rs 35,000 /-<br /> <br />How to apply</p>

<p>Candidates are requested to send their CV, and a brief summary of research experience by e-mail careers.genetics@ktr.srmuniv.ac.in  on or before 30/03/2016.</p>

<p>More at http://www.srmuniv.ac.in/jobs-applications-for-position-of-post-doctoral-fellow</p>
]]></description>
</item>

</channel>
</rss>