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    构建本地nt/nr数据库

    生物信息分析
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    • A
      anneng 最后由 anneng 编辑

      https://docs.oracle.com/cd/B19306_01/datamine.102/b14340/blast.htm
      Oracle对blast的支持

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      • A
        anneng 最后由 anneng 编辑

        Bioinformatics_ introduction to using BLAST with Ubuntu.pdfBioinformatics_ managing BLAST data sources.pdf

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        • A
          anneng 最后由 编辑

          https://dbsloan.github.io/TS2019/exercises/local_blast.html
          Running Local BLAST and Parsing Output

          makeblastdb -in Ecoli.proteins.fas -dbtype prot
          
          makeblastdb -in Ecoli.genome.fas -dbtype nucl
          
          blastn -task blastn  -query Salmonella.genome.fas -db Ecoli.genome.fas -evalue 1e-20 -num_threads 4 -out blastn.txt
          
          pdf ("my_dotplot.pdf")
          plot (blastnData$Query_Start, blastnData$Hit_Start, cex = .25)
          dev.off()
          quit()
          

          46d8543b-55c2-4680-a439-a6c4129e7baa-image.png

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          • A
            anneng 最后由 anneng 编辑

            Extracting data from BLAST databases with blastdbcmd
            https://www.ncbi.nlm.nih.gov/books/NBK279689/

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            • A
              anneng 最后由 编辑

              Preformatted BLAST vs Fasta
              https://www.ncbi.nlm.nih.gov/books/NBK62345/
              Getting the preformatted database files
              Preformatted BLAST database files offer several advantages over the FASTA files:

              The preformatted databases are broken into smaller volumes and therefore can be downloaded more readily with fewer errors
              A convenient Perl script (update_blastdb.pl found in the bin directory of a locally installed blast+ package) is available to simplify the download of these preformatted databases
              Preformatted database files remove the makeblastdb formatting steps, and saves valuable processing time and diskspace
              Taxonomic information is encoded within the preformatted databases and can be used to limit the scope of a blast search, and sequence retrieval, and scientific name addition through the included taxdb files
              Sequences in FASTA format can be generated easily from the preformatted databases using the blastdbcmd utility when needed

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              • A
                anneng 最后由 anneng 编辑

                Annotating BLAST Reports with Taxonomy Information
                https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/15970/versions/2/previews/taxoblastdemo/html/taxoblastdemo.html?access_key=

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                • A
                  anneng 最后由 编辑

                  https://github.com/lskatz/taxdb
                  一个工具 可以把taxdump导入sqlite

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                  • A
                    anneng 最后由 编辑

                    The BLAST taxonomy database is required in order to print the scientific name, common name, blast name, or super kingdom as part of the BLAST report or in a report with blastdbcmd. The BLAST database contains only the taxid (an integer) for each entry, and the taxonomy database allow BLAST to retrieve the scientific name etc. from a taxid. The BLAST taxonomy database consists of a pair of files (taxdb.bti and taxdb.btd) that are available as a compressed archive from the NCBI BLAST FTP site (ftp://ftp.ncbi.nlm.nih.gov/blast/db/taxdb.tar.gz). The update_blastdb.pl script can be used to download and update this archive; it is recommended that the uncompressed contents of the archive be installed in the same directory where the BLAST databases reside. Assuming proper file permissions and that the BLASTDB environment variable contains the path to the installation directory of the BLAST databases, the following commands accomplish that:

                    Download the taxdb archive

                    perl update_blastdb.pl taxdb

                    Install it in the BLASTDB directory

                    gunzip -cd taxdb.tar.gz | (cd $BLASTDB; tar xvf - )

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                    • Z
                      zhangfanglin 最后由 anneng 编辑

                      nr、nt导出规范

                      **%T %a %i  %t %s**    
                      1、物种ID 
                      2、accession 序列ID           
                      3、sequence title
                      4、描述
                      5、序列
                      

                      上面的导出%i 应该是序列id 我们可以不用这个字段
                      %a %t %T %s

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                      • A
                        anneng 最后由 编辑

                        -outfmt <String>
                        Output format, where the available format specifiers are:
                        %f means sequence in FASTA format
                        %s means sequence data (without defline)
                        %a means accession
                        %g means gi
                        %o means ordinal id (OID)
                        %i means sequence id
                        %t means sequence title
                        %l means sequence length
                        %h means sequence hash value
                        %T means taxid
                        %X means leaf-node taxids
                        %e means membership integer
                        %L means common taxonomic name
                        %C means common taxonomic names for leaf-node taxids
                        %S means scientific name
                        %N means scientific names for leaf-node taxids
                        %B means BLAST name
                        %K means taxonomic super kingdom
                        %P means PIG
                        %m means sequence masking data.
                        Masking data will be displayed as a series of 'N-M' values
                        separated by ';' or the word 'none' if none are available.
                        If '%f' is specified, all other format specifiers are ignored.
                        For every format except '%f', each line of output will correspond
                        to a sequence.
                        Default = `%f'

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                        • A
                          anneng 最后由 编辑

                          如果想把一个fasta文件中的序列都当作一个物种对待 那么可以使用taxid参数
                          合并两个数据库:
                          makeblastdb -in mysequences.fna -dbtype nucl -title "some sequences I found" -out mysequences -parse_seqids
                          blastdb_aliastool -dblist nt mysequences -dbtype nucl -title "nt database + my own sequences" -out ntandmore
                          如果有多个fasta 文件 每个文件是一个物种 可以先分别建库 然后用blastdb_aliastool合并

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