<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Molecular markers 分子标记]]></title><description><![CDATA[<p dir="auto">Molecular markers are DNA sequences that can be identified and inherited and are present in<br />
certain locations in the genome and characterize certain characteristics.<br />
<a href="/assets/uploads/files/1656317801234-mining_and_characterization_of_genomic-based_micro.pdf">Mining_and_characterization_of_genomic-based_micro.pdf</a></p>
<p dir="auto">分子标记要可识别、可遗传、位置固定且能表达一定的特征。<br />
DNA<br />
markers without PCR (Polymerase Chain Reaction) such as RFLP, second, DNA markers based on<br />
PCR which include RAPD, AFLP, SSR, CAPS, SCAR, SSCP and DNA Barcoding<br />
分子标记分为：<br />
1.非PCR方式，如RFLP<br />
2.PCR方式，如RAPD, AFLP, SSR, CAPS, SCAR, SSCP and DNA Barcoding</p>
<p dir="auto">Microsatellite markers are codominant,the quantity of DNA needed is not much, the method used is quite simple and widely available in the market.<br />
微卫星是一种共显性的标记。<br />
<strong>什么是共显性？</strong></p>
<p dir="auto"><img src="/assets/uploads/files/1656318742051-fa939187-652e-4398-8d9d-b0f6dc91f717-image.png" alt="fa939187-652e-4398-8d9d-b0f6dc91f717-image.png" class=" img-responsive img-markdown" /></p>
<p dir="auto"><img src="/assets/uploads/files/1656318859023-9c8911a4-734c-4a03-b75c-a58e88d9d31f-image.png" alt="9c8911a4-734c-4a03-b75c-a58e88d9d31f-image.png" class=" img-responsive img-markdown" /><br />
单核苷酸重复用的比较少 通常用6核苷酸  二、三重复最普遍</p>
<p dir="auto">Microsatellites can be categorized based on their motifs with the composition: i) perfect, if the<br />
whole consists of repetition of single motive; ii) imperfect, if base pairs are not included in the motive<br />
to occur between repetitions; iii) interrupted if the order of some base pairs is included in the motif; or<br />
iv) composite if formed by many, close together, repetitive motifs</p>
<p dir="auto">The <strong>Assembly-stat</strong> program is used to calculate contig statistics. The<br />
contigs having minimum filtering of 200 bp and filtering from the redundancy contig using the <strong>CAP3</strong><br />
and <strong>CD-hit</strong> programs. <strong>MISA</strong> program is used to identify content containing microsatellite with<br />
minimum repetitions: 10 for 1 basis, 6 for 2 bases, and 5 for 3, 4, 5, and 6 bases; and interruptions (the<br />
maximum difference between microsatellites) are 100 bases.</p>
<p dir="auto"><a href="https://academic.oup.com/bioinformatics/article/33/16/2583/3111841" rel="nofollow ugc">https://academic.oup.com/bioinformatics/article/33/16/2583/3111841</a></p>
<p dir="auto"><a href="https://github.com/cfljam/SSR_marker_design" rel="nofollow ugc">https://github.com/cfljam/SSR_marker_design</a></p>
]]></description><link>http://an.forum.genostack.com/topic/703/molecular-markers-分子标记</link><generator>RSS for Node</generator><lastBuildDate>Sat, 13 Jun 2026 12:35:18 GMT</lastBuildDate><atom:link href="http://an.forum.genostack.com/topic/703.rss" rel="self" type="application/rss+xml"/><pubDate>Mon, 27 Jun 2022 08:54:07 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to Molecular markers 分子标记 on Mon, 27 Jun 2022 09:28:44 GMT]]></title><description><![CDATA[<p dir="auto">GBS-SNP-CROP: a reference-optional pipeline for SNP discovery and plant germplasm characterization using variable length, paired-end genotyping-by-sequencing data</p>
]]></description><link>http://an.forum.genostack.com/post/1594</link><guid isPermaLink="true">http://an.forum.genostack.com/post/1594</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Mon, 27 Jun 2022 09:28:44 GMT</pubDate></item><item><title><![CDATA[Reply to Molecular markers 分子标记 on Mon, 27 Jun 2022 09:28:29 GMT]]></title><description><![CDATA[<p dir="auto">An integrated SNP mining and utilization (ISMU) pipeline for next generation sequencing data</p>
]]></description><link>http://an.forum.genostack.com/post/1593</link><guid isPermaLink="true">http://an.forum.genostack.com/post/1593</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Mon, 27 Jun 2022 09:28:29 GMT</pubDate></item><item><title><![CDATA[Reply to Molecular markers 分子标记 on Mon, 27 Jun 2022 10:18:14 GMT]]></title><description><![CDATA[<p dir="auto"><a href="https://www.sciencedirect.com/science/article/pii/S0888754318303914" rel="nofollow ugc">https://www.sciencedirect.com/science/article/pii/S0888754318303914</a><br />
PLANET-SNP pipeline: PLants based ANnotation and Establishment of True SNP pipeline<br />
该文献比较了5种ML算法， Naive Bayes, Random Forest, J48, Bayes Net and SVM. 来降低SNP的假阳性。<br />
<img src="/assets/uploads/files/1656322456596-4e8b5703-22c7-404a-a238-4ecccdf38f3d-image.png" alt="4e8b5703-22c7-404a-a238-4ecccdf38f3d-image.png" class=" img-responsive img-markdown" /><br />
<img src="/assets/uploads/files/1656322873987-d650cabe-c533-40e0-8aa0-7bbd30748572-image.png" alt="d650cabe-c533-40e0-8aa0-7bbd30748572-image.png" class=" img-responsive img-markdown" /></p>
<p dir="auto">1.Freebayes<br />
使用uniquely mapped reads Freebayes可以对多等位的SNP进行分析。<br />
针对异源四倍体 allotetraploid 做了额外的分析。</p>
<p dir="auto">2.模型过滤</p>
<p dir="auto">3.VCF注释<br />
<img src="/assets/uploads/files/1656324070719-73fdd156-3671-4385-9436-4f961c80939d-image.png" alt="73fdd156-3671-4385-9436-4f961c80939d-image.png" class=" img-responsive img-markdown" /></p>
<p dir="auto"><img src="/assets/uploads/files/1656324177285-d240f392-daa7-41ce-9973-24b88b1642d9-image.png" alt="d240f392-daa7-41ce-9973-24b88b1642d9-image.png" class=" img-responsive img-markdown" /></p>
]]></description><link>http://an.forum.genostack.com/post/1592</link><guid isPermaLink="true">http://an.forum.genostack.com/post/1592</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Mon, 27 Jun 2022 10:18:14 GMT</pubDate></item></channel></rss>