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namespace:doc-mach:preparation-course-bioinfo2020 [2020/01/17 11:37]
mickey
namespace:doc-mach:preparation-course-bioinfo2020 [2024/09/16 17:58] (current)
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 +====== Review after the course ======
 +
 +**MK20200117**
 +
 +   * **Misunderstanding of technical term**
 +      * Metagenome != microbiome analysis by targeted amplicon sequencing (amplicon analysis of rRNA gene; meta16S/​18S;​ community analysis)
 +      * Metagenome = ‘meta’ + ‘genome’;​ Genome = ‘gen’ + ‘ome’
 +      * Amplicon of rRNA gene = part of single gene, not genome!
 +      * Amplicon of rRNA gene of environment = ‘meta’ + rRNA gene, not '​meta'​ + '​genome'​
 +  * **We need to improve basic knowledge of students about molecular biology and gene analysis (before genome analysis).**
 +      * Course of basics of gene and genome
 +      * Course of basics of web tools
 +  * It is appropriate to held the same couse "​Introduction to Microbial Genomic and Metagenomic Analyses"​ annually, to update knowledge of genomics and metagenomics
 +      * This type of comprehensive course is more desirable than more specfic course of microbiome analysis, which is directly-related to their own research.
 +        * During this course for genomics/​metagenomics,​ participants may have learned from more global aspects, and still they can apply what they learned to their amplicon studies.
 +      * In depth course might be held in future (but maybe such situation will not happen soon…)
 +        * Course of "​Microbial Genomic Analyses"​ (note that without "​Introduction of")
 +        * Course of "​Metagenomic Analyses"​ (note that without "​Introduction of")
 +  * Lecture organization was appropriate
 +      * Introduction of real studies (SF and MK)
 +        * We may emphasize clarification of microbiome amplicon studies and genomic/​metagenomic studies more clearly
 +      * Introduction of algorithm
 +      * Practices of basics (MK and GL)
 +      * Introduction of statistics (GL)
 +      * Introduction of R
 +      * Lecture of knowledge of pangenome and related issues (MA)
 +      * Introduction of tools with graphics (MA)
 +  * Lecture based on real reasearch about statistical analysis will contribute to improvement of the effect of the course
 +      * Such as the ones provided at the beginning course by SF and MK and the one provided by MA
 +  * We may update contents of the course (MK, GL)
 +  * To avoid situation that participants (who are not motivated enough) get bored and leave the course mid-way, we may improve the contents by either of the following ways.
 +      * State at the beginning that they are better to attend through the end.
 +      * Improve practice of basics of linux to keep their motivation, whereas more concise introduction of command line.
 +
 +====== Note ======
 +
 +**To prepare**
 +
 +  * <​del>​No call for participants!?</​del>​
 +  * Can we fix the number of participants?​ max 30, because of the number of notebook at cmcc practice room.
 +  * Can we select simply those 15 who applies first?
 +  * Those with some motivation letter or sentence attached will be regarded primarily.
 +  * bowtie
 +  * tutorial data download
 +  * wifi at the room?
 +
 +**What computer will we use?**
 +
 +  * Linux server, soroban
 +  * How accounts are created
 +  * How accounts info are distributed to participants
 +
 +  * For R tutorial (3rd day), use CMCC 1st floor room, with 30 notebook, where Andrés has installed Rstudio on 2019/07.
 +
 +**Questions MK200103**
 +
 +  * When network becomes down, what will we do alternative
 +
 +**Necessity of total hours**
 +
 +  * 64hr = 8 days x 8hr
 +  * Instead of 8 days, we will do 9 days, with the first and the last day of half days (i.e. 4hr), and 7-days for 8hr.
 +  * Lab work e.g. 5hr
 +
 +**Time course of 1 day**
 +
 +  * Morning: 9:00-13:00, 4hr
 +  * Afternoon: 14:​30-18:​30,​ 4hr
 +  * In total, 8hr / day
 +  * 1h45min-30min break-1h45min / 4hr
 +
 +**Room reservation**
 +
 +  * depend on the number of participants
 +  * Windows computer at CMCC computer room
 +
 +**About document**
 +
 +  * Share documents, MK to Giovanni,
 +
 +====== Program / Programación ======
 +
 +===== Day 1. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 1. Monday 6</​font> ​ <font inherit/​inherit;;​inherit;;​rgb(255,​ 255, 0)>​14:​30-18:​30 (4hr)</​font>​
 +
 +<font inherit/​Verdana,​ sans-serif;;#​000000;;​yellow>​KAWAI,​ FUJIYOSHI</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 1-1. (60-min) MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Opening remarks</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Outline of this course</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Brief review of introduction to Genomic, Metagenomic and Transcriptomic Anal</​font>​yses <font inherit/​inherit;;​inherit;;#​f1c40f>​M</​font><​font inherit/​inherit;;​inherit;;#​f1c40f>​K</​font>​*
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 1-2. (60-min) SF</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Microbial community analysis (Amplicon analysis, Metagenomics)</​font><​font inherit/​inherit;;​inherit;;#​f1c40f>​SF</​font>​*
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 2. (120-min) MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Statistical mind to find more concrete association with phenomena</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​What is your question / How to test your question / Importance of experimental design</​font>​
 +
 +===== Day 2. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;#​ffff00>​Day 2. Tuesday 7 9:​00</​font> ​ <font inherit/​inherit;;​inherit;;​yellow>​ÁVILA</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 3. (120-min) AA</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Sequencers,​ sequencing platform (Illumina, long read)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Basic data format of basic sequence data (FASTA, GENBANK)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Basic data format of '​next-generation'​ sequence (NGS) data (FASTQ)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Quality information of positions of reads</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Lab session 1. (120-min)</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 4. 14:30 (120-min) AA</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Sequence alignment, sequence similarity search</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Two basic approaches, mapping and assembly</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Lab session 2. (120-min)</​font>​
 +
 +===== Day 3. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 3. Wednesday 8 9:00 KAWAI,</​font> ​ <font 20px/​inherit;;​inherit;;#​ffff00>​LARAMA</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 1. (120-min) GL</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​UNIX basic command, to sniff around sequence files (cd, pwd, ls etc.)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Examine file contents of MiSeq</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​File organization,​ concept of Path</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 2. (120-min) GL</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Text processing (grep, less, tail, head,​..)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​To get familiar with NGS sequences #1 (examine NGS sequence files)</​font>​
 +  * <font 14.666666984558105px/​inherit;;​inherit;;​inherit>​Check contents of fastq</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 3. (120-min) MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Text processing (wc, cut, sed, awk, redirect (> , >> ) etc.), gzip</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​To get familiar with NGS sequences #2 (sequential commands by pipe)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​count how many of reads of fastq</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 4. (120-min) MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Shell script (Batch processing)</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Editor (vim)</​font>​
 +
 +===== Day 4. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 4. Thursday 9 9:00 KAWAI,</​font> ​ <font 20px/​Verdana,​ sans-serif;;#​000000;;#​ffff00>​LARAMA</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 6. (120-min) GL</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​R statistics and graphics language #​1</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 7. (120-min) GL</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​R statistics and graphics language #​2</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Goal:</​font>​ * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Do (small) analysis and make report of statistical test (apa format)</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Lab session 3. (240-min)</​font>​
 +
 +===== Day 5. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 5. Friday 10 9:00 KAWAI,</​font> ​ <font 20px/​inherit;;​inherit;;#​ffff00>​LARAMA</​font><​font inherit/​inherit;;​inherit;;​yellow>,​ ÁVILA</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 6. (120-min) GL</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Quality control of raw sequence data, basic tools for sequence and NGS data</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Commands for NGS analyses</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Commands for sequence analyses</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Brief review of online resources / web services</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​NGSToolkit (instead of FastQC)</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Practice 8. (120-min) MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​To get familiar with NGS sequences #​3</​font>​
 +  * <font inherit/​Verdana,​ sans-serif;;​inherit;;​inherit>​make your own pipeline for custom analysis and record of analysis</​font>​* <font inherit/​Verdana,​ sans-serif;;​inherit;;​inherit>​screen command</​font>​* <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Sequence similarity search against a genome at hand (Do BLAST search locally)</​font>​
 +
 +<font 16px/​Verdana,​ sans-serif;;​inherit;;#​33ccff>​Lab XX (240-min)</​font>​
 +
 +===== Day 6. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 6. Monday 13 9:00 ÁVILA</​font> ​  , (<font inherit/​inherit;;​inherit;;#​ffff00>​LARAMA</​font>​)
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 7 and Practice 9. (240-min)</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Public sequence database</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Local mirror of databases</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Usage of information of public database</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​e.g. Mapping (bowtie2)</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 8 and Practice 10. (240-min)</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Genome assembly</​font>​
 +
 +===== Day 7. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 7. Tuesday 14 9:00 KAWAI</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 9 and Practice 11. (120-min) MK</​font>​
 +
 + \\
 +* <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Protein-coding gene prediction, RNA-coding gene prediction, gene annotation → MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Muliple sequence alignment</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​protein domain search</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 10 and Practice 12. (120-min) MK</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Gene contents of genome</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Concept of ortholog</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Concept of conserved single-copy genes</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Lab session 2. (240-min)</​font>​
 +
 +===== Day 8. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;​yellow>​Day 8. Wednsday 15</​font> ​ <font inherit/​inherit;;​inherit;;#​ffcc33>​9:​00 - 13:​00</​font><​font inherit/​inherit;;​inherit;;​yellow>​ABANTO</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​00ff66>​Lecture 10 and Practice 12. (240-min)</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Introduction of analyses</​font>​
 +
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Pangenome</​font>​
 +  * <font 11pt/​Verdana,​ sans-serif;;​inherit;;​inherit>​Phylogenetic tree</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Lab session 2. (240-min)</​font>​
 +
 +===== Day 9. =====
 +
 +<font 20px/​Verdana,​ sans-serif;;#​000000;;#​ffff00>​Day 9. Thursday 16 9:00 KAWAI, LARAMA</​font>​
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Lab session 2. (240-min)</​font>​
 +
 +  * Discuss plans
 +  * groups work
 +  * proposal
 +  * paper introducce
 +  * apply what they learned
 +
 +<font medium/​Verdana,​ sans-serif;;#​000000;;#​33ccff>​Internal meeting (120-min)</​font>​
 +
  
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