SlideShare a Scribd company logo
20
DB                                 

                                   
       2008/08/07

     kaneko.satoko(at)ocha.ac.jp
molecular_function [GO:0003674]
   molecular transducer activity [GO:0060089]
       signal transducer activity [GO:0004871]
           receptor activity [GO:0004872]
                transmembrane receptor activity [GO:0004888]
                    G-protein coupled receptor activity [GO:0004930]
                        rhodopsin-like receptor activity [GO:0001584]
22.66kb               Reverse strand




8 exons, CDS 1446bp (481a.a.)
(5) processed (pseudo)gene,
                 unprocessed (pseudo)gene

                                        a
                             a'
                                                           unprocessed gene
                                                            duplicated gene
                  a
                 mRNA               splicing           

                                    
                                                            


                                        
                           a''
                 processed gene 
pseudogene   premature stop codon            (insertion)        (deletion)
ID   ID
1

        [apple mark+C]
  2 CotEditor
           [apple mark+V]
     makorin.fasta

               blat


    3       BLAST
1
    
                             [apple mark+V]




        2                       Mus musculus
    
    dna database

        3 Search Tool BLAT

       RUN

        BLAT
[apple mark+A]
          [apple mark+C]
CotEditor            [apple mark
+C] makorin.blat
[Alignment Locations vs. Karyotype]




[Alignment Locations vs. Query]
query


[Alignment Summary]
query
query
(6)                        
BLAST (Basic Local Alignment Search Tool)
                        alignment
                                                   

            
         
           
    
                     Arg Ser Val

        
             
       
                         Thr Ser Gly
                                                       Tyr    Val Arg
        
                 
       
                5'-tacgtcaggta-3'                
        
             
           
            
                                                   3'-atgcagtccat-5'
                                                       Met Gln Ser
        
                 
   
                
         Cys Ser Pro
                                                             Ala Val     His
        
             
       
            


BLAT (Blast Like Alignment Tool)
query/database 4,11(amino acid, DNA)-mer

     EST
080807
080807
080807
080807
080807
080807
080807
080807

More Related Content

More from sesejun

More from sesejun (20)

RNAseqによる変動遺伝子抽出の統計: A Review
RNAseqによる変動遺伝子抽出の統計: A ReviewRNAseqによる変動遺伝子抽出の統計: A Review
RNAseqによる変動遺伝子抽出の統計: A Review
 
バイオインフォマティクスによる遺伝子発現解析
バイオインフォマティクスによる遺伝子発現解析バイオインフォマティクスによる遺伝子発現解析
バイオインフォマティクスによる遺伝子発現解析
 
次世代シーケンサが求める機械学習
次世代シーケンサが求める機械学習次世代シーケンサが求める機械学習
次世代シーケンサが求める機械学習
 
20110602labseminar pub
20110602labseminar pub20110602labseminar pub
20110602labseminar pub
 
20110524zurichngs 2nd pub
20110524zurichngs 2nd pub20110524zurichngs 2nd pub
20110524zurichngs 2nd pub
 
20110524zurichngs 1st pub
20110524zurichngs 1st pub20110524zurichngs 1st pub
20110524zurichngs 1st pub
 
20110214nips2010 read
20110214nips2010 read20110214nips2010 read
20110214nips2010 read
 
Datamining 9th association_rule.key
Datamining 9th association_rule.keyDatamining 9th association_rule.key
Datamining 9th association_rule.key
 
Datamining 8th hclustering
Datamining 8th hclusteringDatamining 8th hclustering
Datamining 8th hclustering
 
Datamining r 4th
Datamining r 4thDatamining r 4th
Datamining r 4th
 
Datamining r 3rd
Datamining r 3rdDatamining r 3rd
Datamining r 3rd
 
Datamining r 2nd
Datamining r 2ndDatamining r 2nd
Datamining r 2nd
 
Datamining r 1st
Datamining r 1stDatamining r 1st
Datamining r 1st
 
Datamining 6th svm
Datamining 6th svmDatamining 6th svm
Datamining 6th svm
 
Datamining 5th knn
Datamining 5th knnDatamining 5th knn
Datamining 5th knn
 
Datamining 4th adaboost
Datamining 4th adaboostDatamining 4th adaboost
Datamining 4th adaboost
 
Datamining 3rd naivebayes
Datamining 3rd naivebayesDatamining 3rd naivebayes
Datamining 3rd naivebayes
 
Datamining 2nd decisiontree
Datamining 2nd decisiontreeDatamining 2nd decisiontree
Datamining 2nd decisiontree
 
Datamining 7th kmeans
Datamining 7th kmeansDatamining 7th kmeans
Datamining 7th kmeans
 
Datamining 8th Hclustering
Datamining 8th HclusteringDatamining 8th Hclustering
Datamining 8th Hclustering
 

Recently uploaded

Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 
Industrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training ReportIndustrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training Report
Avinash Rai
 

Recently uploaded (20)

Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
Salient features of Environment protection Act 1986.pptx
Salient features of Environment protection Act 1986.pptxSalient features of Environment protection Act 1986.pptx
Salient features of Environment protection Act 1986.pptx
 
Forest and Wildlife Resources Class 10 Free Study Material PDF
Forest and Wildlife Resources Class 10 Free Study Material PDFForest and Wildlife Resources Class 10 Free Study Material PDF
Forest and Wildlife Resources Class 10 Free Study Material PDF
 
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
Benefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational ResourcesBenefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational Resources
 
Industrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training ReportIndustrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training Report
 
INU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdf
INU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdfINU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdf
INU_CAPSTONEDESIGN_비밀번호486_업로드용 발표자료.pdf
 
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & EngineeringBasic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
Basic Civil Engg Notes_Chapter-6_Environment Pollution & Engineering
 
Fish and Chips - have they had their chips
Fish and Chips - have they had their chipsFish and Chips - have they had their chips
Fish and Chips - have they had their chips
 
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxStudents, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
 
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptxslides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
 
Matatag-Curriculum and the 21st Century Skills Presentation.pptx
Matatag-Curriculum and the 21st Century Skills Presentation.pptxMatatag-Curriculum and the 21st Century Skills Presentation.pptx
Matatag-Curriculum and the 21st Century Skills Presentation.pptx
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx2024_Student Session 2_ Set Plan Preparation.pptx
2024_Student Session 2_ Set Plan Preparation.pptx
 
Instructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxInstructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptx
 
PART A. Introduction to Costumer Service
PART A. Introduction to Costumer ServicePART A. Introduction to Costumer Service
PART A. Introduction to Costumer Service
 
Sectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdfSectors of the Indian Economy - Class 10 Study Notes pdf
Sectors of the Indian Economy - Class 10 Study Notes pdf
 
Basic_QTL_Marker-assisted_Selection_Sourabh.ppt
Basic_QTL_Marker-assisted_Selection_Sourabh.pptBasic_QTL_Marker-assisted_Selection_Sourabh.ppt
Basic_QTL_Marker-assisted_Selection_Sourabh.ppt
 
UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...
UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...
UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...
 

080807

  • 1. 20 DB 2008/08/07 kaneko.satoko(at)ocha.ac.jp
  • 2.
  • 3. molecular_function [GO:0003674] molecular transducer activity [GO:0060089] signal transducer activity [GO:0004871] receptor activity [GO:0004872] transmembrane receptor activity [GO:0004888] G-protein coupled receptor activity [GO:0004930] rhodopsin-like receptor activity [GO:0001584]
  • 4.
  • 5. 22.66kb Reverse strand 8 exons, CDS 1446bp (481a.a.)
  • 6.
  • 7.
  • 8. (5) processed (pseudo)gene, unprocessed (pseudo)gene a a' unprocessed gene duplicated gene a mRNA splicing a'' processed gene pseudogene premature stop codon (insertion) (deletion)
  • 9. ID ID
  • 10.
  • 11.
  • 12.
  • 13. 1 [apple mark+C] 2 CotEditor [apple mark+V] makorin.fasta blat 3 BLAST
  • 14. 1 [apple mark+V] 2 Mus musculus dna database 3 Search Tool BLAT RUN BLAT
  • 15.
  • 16. [apple mark+A] [apple mark+C] CotEditor [apple mark +C] makorin.blat
  • 17.
  • 18. [Alignment Locations vs. Karyotype] [Alignment Locations vs. Query] query [Alignment Summary] query
  • 19. query
  • 20.
  • 21.
  • 22.
  • 23.
  • 24. (6) BLAST (Basic Local Alignment Search Tool) alignment Arg Ser Val Thr Ser Gly Tyr Val Arg 5'-tacgtcaggta-3' 3'-atgcagtccat-5' Met Gln Ser Cys Ser Pro Ala Val His BLAT (Blast Like Alignment Tool) query/database 4,11(amino acid, DNA)-mer EST