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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://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE_TYPE=BlastDocs&DOC_TYPE=Download
      1.为什么要构建本地nt/nr数据库?
      Do you have difficulties running high volume BLAST searches?
      Do you have proprietary sequence data to search and cannot use the NCBI BLAST web site?
      Do you have access to your own server?
      Do you have your own research pipeline?
      Have security or IP concerns about sending searches outside of your organization?

      2.下载blast+软件
      ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/
      软件手册:
      https://www.ncbi.nlm.nih.gov/books/NBK279690/
      软件编译安装:
      cd c++
      ./configure
      cd ReleaseMT/build
      make all_r

      包含的软件:
      3f1bc485-3c7b-4cb8-8470-6192a613324f-image.png
      df9d57cf-4f21-4f1f-ad38-76239b78a0e5-image.png
      8307aea4-0cfc-47a5-98ab-4a8e7e6951d7-image.png
      https://open.oregonstate.education/computationalbiology/chapter/command-line-blast/
      配置:
      程序所在路径
      export PATH=$PATH:$HOME/ncbi-blast-2.10.1+/bin
      数据库所在路径
      export BLASTDB=$HOME/blastdb

      3.下载数据库
      ftp://ftp.ncbi.nlm.nih.gov/blast/db/
      cd $HOME/blastdb
      perl ../bin/update_blastdb.pl --passive --decompress 16S_ribosomal_RNA
      更新数据库
      perl ../bin/update_blastdb.pl --passive --decompress 16S_ribosomal_RNA

      一个例子:
      blastdbcmd -db 16S_ribosomal_RNA -entry nr_025000 -out 16S_query.fa
      blastn -db 16S_ribosomal_RNA -query 16S_query.fa -task blastn -dust no -outfmt "7 delim=, qacc sacc evalue bitscore qcovus pident" -max_target_seqs 5

      BLAST Database error: No alias or index file found for nucleotide database [./16S_ribosomal_RNA] in search path [/home/bioinfo/gene_data/blastdb::]
      加一个全局变量即可
      export BLASTDB=/home/bioinfo/gene_data/blastdb/16S_ribosomal_RNA/
      

      4.添加自己的序列
      序列使用 fast格式 建议取一个唯一的名字
      $ cat test.fsa

      seq1
      MSFSTKPLDMATWPDFAALVERHNGVWGGCWCMAFHAKGSGAVGNREAKEARVREGSTHAALVFDGSACVGWCQFGPTGE
      LPRIKHLRAYEDGQAVLPDWRITCFFSDKAFRGKGVAAAALAGALAEIGRLGGGTVESYPEDAQGRTVAGAFLHNGTLAM
      这个序列是哪种物种?用下面的文件描述:
      包括identifiers to taxids的对应关系
      $ cat test_map.txt
      seq1 68287
      $ makeblastdb -in test.fsa -parse_seqids -blastdb_version 5 -taxid_map test_map.txt -title "Cookbook demo" -dbtype prot

      https://ftp.ncbi.nlm.nih.gov/pub/taxonomy/accession2taxid/
      https://ncbiinsights.ncbi.nlm.nih.gov/2018/02/22/new-taxonomy-files-available-with-lineage-type-and-host-information/
      https://www.ncbi.nlm.nih.gov/Taxonomy/TaxIdentifier/tax_identifier.cgi
      也可以把fa文件当作数据库来查询:
      blastn -task megablast -db Dmel_transcripts_Ensembl/Dmel_genes_all.fa -query blast_query.txt -dust no -max_target_seqs 1 -outfmt "6 qseqid sseqid evalue pident stitle" -out outputfile.txt
      5.nt/nr的数据库格式

      6.按物种id查询
      blastn –db nt –query QUERY –taxids 9606 –outfmt 7 –out OUTPUT.tab
      这样可以降低查询数据量 也反应了使用sql数据库的好处

      7.导出数据
      blastdbcmd -db 16S_ribosomal_RNA -entry all -out 16S_query.fa
      -outfmt "%f"
      %f - Output all sequence data and metadata in FASTA format (this is the default behavior of the command)
      %s - Sequence data
      %a - Database specific accession ID
      %g - NCBI sequence ID (i.e. gi)
      %i - Sequence ID
      %l - Sequence length
      更多格式
      /home/bioinfo/software/blast_debug/ncbi-blast-2.11.0+-src/c++/ReleaseMT/bin/blastdbcmd -db ./16S_ribosomal_RNA -entry all -out 16S_query.fa -outfmt "%T %a %g %i %l %t"

      -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
      %n means a list of links integers separated by ';'
      %K means taxonomic super kingdom
      %P means PIG
      %d means defline in text ASN.1 format
      %b means Bioseq in text ASN.1 format
      %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' or '%d' are specified, all other format specifiers are ignored.
      For every format except '%f' and '%d', each line of output will correspond
      to a sequ

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      • A
        anneng 最后由 编辑

        Database resources of the National Center for Biotechnology Information
        https://academic.oup.com/nar/article/42/D1/D7/1054454

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        • A
          anneng 最后由 编辑

          Nr database encompasses sequences from both non-curated and curated databases:

          Non-curated databases (low quality):

          GenBank/GenPept - unreviewed sequences submitted from individual laboratories and large-scale sequencing projects. Since these sequence records are owned by the original submitters and can not be altered, GenBank might contain many low quality sequences.
          trEMBL - unreviewed section of UniProt. This section contains a computer-annotated supplement of SwissProt that contains all the translations of EMBL nucleotide sequence entries not yet integrated in SwissProt
          Curated databases (high quality):

          RefSeq - GenBank sequences that are manually curated by the NCBI staff. RefSeq records are owned by NCBI and can be updated as needed to maintain current annotation or to incorporate additional information.
          SwissProt - manually annotated and reviewed protein sequences
          PIR - non-redundant annotated protein sequence database
          PDB - experimentally-determined structures of proteins, nucleic acids, and complex assemblies

          https://www.biostars.org/p/164641/

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          • A
            anneng 最后由 编辑

            https://ftp.ncbi.nlm.nih.gov/blast/db/blastdbv5.pdf

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            • A
              anneng 最后由 编辑

                                   The BLAST Databases
                              Last updated on February 3, 2020
              

              IMPORTANT: As of February 4, 2020, the BLAST databases on the FTP site are version 5 (v5).
              At the same time, the databases offered has been changed. This document reflects those changes.
              Information on newly enabled features with the v5 databases at
              https://ftp.ncbi.nlm.nih.gov/blast/db/blastdbv5.pdf

              This document describes the BLAST databases available on the NCBI FTP site under
              the /blast/db directory. The direct URL is ftp://ftp.ncbi.nlm.nih.gov/blast/db

              1. Quick Start

                • Get all numbered files for a database with the same base name:
                  Each of these files represents a subset (volume) of that database,
                  and all of them are needed to reconstitute the database.
                • After extraction, there is no need to concatenate the resulting files:
                  Call the database with the base name, for nr database files, use "-db nr".
                • For easy download, use the update_blastdb.pl script from the blast+ package.
                • Incremental update is not available.
              2. General Introduction

              BLAST search pages under the Basic BLAST section of the NCBI BLAST home page
              (http://blast.ncbi.nlm.nih.gov/) use a standard set of BLAST databases for
              nucleotide, protein, and translated BLAST searches. These databases are made
              available as compressed archives of pre-formatted form) and can be donwloaed from
              the /db directory of the BLAST ftp site (ftp://ftp.ncbi.nlm.nih.gov/blast/db/).
              The FASTA files reside under the /FASTA subdirectory.

              The pre-formatted databases offer the following advantages:
              * Pre-formatting removes the need to run makeblastdb;
              * Species-level taxonomy ids are included for each database entry;
              * Databases are broken into smaller-sized volumes and are therefore easier
              to download;
              * Sequences in FASTA format can be generated from the pre-formatted databases
              by using the blastdbcmd utility;
              * A convenient script (update_blastdb.pl) is available in the blast+ package
              to download the pre-formatted databases.

              Pre-formatted databases must be downloaded using the update_blastdb.pl script or
              via FTP in binary mode. Documentation for this script can be obtained by running
              the script without any arguments; Perl installation is required.

              The compressed files downloaded must be inflated with gzip or other decompress
              tools. The BLAST database files can then be extracted out of the resulting tar
              file using the tar utility on Unix/Linux, or WinZip and StuffIt Expander on
              Windows and Macintosh platforms, respectively.

              Large databases are formatted in multiple one-gigabyte volumes, which are named
              using the basename.##.tar.gz convention. All volumes with the same base name are
              required. An alias file is provided to tie individual volumes together so that
              the database can be called using the base name (without the .nal or .pal
              extension). For example, to call the est database, simply use "-db est" option
              in the command line (without the quotes).

              For other genomic BLAST databases, please check the genomes ftp directory at:
              ftp://ftp.ncbi.nlm.nih.gov/genomes/

              1. Contents of the /blast/db/ directory

              The pre-formatted BLAST databases are archived in this directory. The names of
              these databases and their contents are listed below.

              +-----------------------------+------------------------------------------------+
              File Name | Content Description
              +-----------------------------+------------------------------------------------+
              README | README for this subdirectory (this file)
              nr.tar.gz | Non-redundant protein sequences from GenPept,
              Swissprot, PIR, PDF, PDB, and NCBI RefSeq
              nt.tar.gz | Partially non-redundant nucleotide sequences from
              all traditional divisions of GenBank, EMBL, and DDBJ
              excluding GSS,STS, PAT, EST, HTG, and WGS.
              landmark.tar.gz | Proteome of 27 model organisms, see
              https://blast.ncbi.nlm.nih.gov/smartblast/smartBlast.cgi?CMD=Web&PAGE_TYPE=BlastDocs#searchSets
              16S_ribosomal_RNA | 16S ribosomal RNA (Bacteria and Archaea type strains)
              18S_fungal_sequences.tar.gz | 18S ribosomal RNA sequences (SSU) from Fungi type and reference material (BioProject PRJNA39195)
              28S_fungal_sequences.tar.gz | 28S ribosomal RNA sequences (LSU) from Fungi type and reference material (BioProject PRJNA51803)
              ITS_RefSeq_Fungi.tar.gz | Internal transcribed spacer region (ITS) from Fungi type and reference material (BioProject PRJNA177353)
              ITS_eukaryote_sequences.tar.gz| Internal transcribed spacer region (ITS) for eukaryotic sequences
              LSU_eukaryote_rRNA.tar.gz | Large subunit ribosomal RNA sequences for eukaryotic sequences
              LSU_prokaryote_rRNA.tar.gz | Large subunit ribosomal RNA sequences for prokaryotic sequences
              SSU_eukaryote_rRNA.tar.gz | Small subunit ribosomal RNA sequences for eukaryotic sequences
              ref_euk_rep_genomes
              tar.gz | Refseq Representative Eukaryotic genomes (1000+ organisms)
              ref_prok_rep_genomes
              tar.gz | Refseq Representative Prokaryotic genomes (5700+ organisms)
              ref_viruses_rep_genomestar.gz | Refseq Representative Virus genomes (9000+ organisms)
              ref_viroids_rep_genomes
              tar.gz | Refseq Representative Viroid genomes (46 organisms)
              refseq_protein.*tar.gz | NCBI protein reference sequences
              refseq_rna.*tar.gz | NCBI Transcript reference sequences
              swissprot.tar.gz | Swiss-Prot sequence database (last major update)
              pataa.*tar.gz | Patent protein sequences
              patnt.*tar.gz | Patent nucleotide sequences. Both patent databases
              are directly from the USPTO, or from the EPO/JPO
              via EMBL/DDBJ
              pdbaa.*tar.gz | Sequences for the protein structure from the
              Protein Data Bank
              pdbnt.*tar.gz | Sequences for the nucleotide structure from the
              Protein Data Bank. They are NOT the protein coding
              sequences for the corresponding pdbaa entries.
              taxdb.tar.gz | Additional taxonomy information for the databases
              listed here providing common and scientific names
              FASTA/ | Subdirectory for FASTA formatted sequences
              v4/ | BLAST databases in version 4 (v4). These files are no
              longer being updated.
              cloud/ | Subdirectory of databases for BLAST AMI; see
              http://1.usa.gov/TJAnEt
              +-----------------------------+------------------------------------------------+

              1. Contents of the /blast/db/FASTA directory

              This directory contains FASTA formatted sequence files. The file names
              and database contents are listed below. These files must be unpacked before
              use. They are provided as a convenience for users needing these sets in
              FASTA format. For use with BLAST, it is preferable to use the BLAST database
              on the FTP site.

              +-----------------------+-----------------------------------------------------+
              |File Name | Content Description |
              +-----------------------+-----------------------------------------------------+
              nr.gz* | non-redundant protein sequence database with entries
              from GenPept, Swissprot, PIR, PDF, PDB, and RefSeq
              nt.gz* | nucleotide sequence database, with entries from all
              traditional divisions of GenBank, EMBL, and DDBJ;
              excluding bulk divisions (gss, sts, pat, est, htg)
              and wgs entries. Partially non-redundant.
              pdbaa.gz* | protein sequences from pdb protein structures
              swissprot.gz* | swiss-prot database (last major release)
              +-----------------------+---------------------------------------------------+
              NOTE:
              (1) For screening for vector contamination, use the UniVec database:
              ftp://ftp.ncbi.nlm.nih.gov/pub/UniVec/

              • marked files have pre-formatted counterparts.
              1. Database updates

              The BLAST databases are updated regularly. There is no established incremental
              update scheme. We recommend downloading the complete databases regularly to
              keep their content current.

              1. Non-redundant defline syntax

              The non-redundant databases are nr, nt and pataa. Identical sequences are
              merged into one entry in these databases. To be merged two sequences must
              have identical lengths and every residue at every position must be the
              same. The FASTA deflines for the different entries that belong to one
              record are separated by control-A characters invisible to most
              programs. In the example below both entries Q57293.1 and AAB05030.1
              have the same sequence, in every respect:

              Q57293.1 RecName: Full=Fe(3+) ions import ATP-binding protein FbpC ^AAAB05030.1 afuC
              [Actinobacillus pleuropneumoniae] ^AAAB17216.1 afuC [Actinobacillus pleuropneumoniae]
              MNNDFLVLKNITKSFGKATVIDNLDLVIKRGTMVTLLGPSGCGKTTVLRLVAGLENPTSGQIFIDGEDVTKSSIQNRDIC
              IVFQSYALFPHMSIGDNVGYGLRMQGVSNEERKQRVKEALELVDLAGFADRFVDQISGGQQQRVALARALVLKPKVLILD
              EPLSNLDANLRRSMREKIRELQQRLGITSLYVTHDQTEAFAVSDEVIVMNKGTIMQKARQKIFIYDRILYSLRNFMGEST
              ICDGNLNQGTVSIGDYRFPLHNAADFSVADGACLVGVRPEAIRLTATGETSQRCQIKSAVYMGNHWEIVANWNGKDVLIN
              ANPDQFDPDATKAFIHFTEQGIFLLNKE

              Individual sequences are now identifed simply by their accession.version.

              For databases whose entries are not from official NCBI sequence databases,
              such as Trace database, the gnl| convention is used. For custom databases,
              this convention should be followed and the id for each sequence must be
              unique, if one would like to take the advantage of indexed database,
              which enables specific sequence retrieval using blastdbcmd program included
              in the blast executable package. One should refer to documents
              distributed in the standalone BLAST package for more details.

              1. Formatting a FASTA file into a BLASTable database

              FASTA files need to be formatted with makeblastdb before they can be used in local
              blast search. For those from NCBI, the following makeblastdb commands are
              recommended:

              For nucleotide fasta file: makeblastdb -in input_db -dbtype nucl -parse_seqids
              For protein fasta file: makeblastdb -in input_db -dbtype prot -parse_seqids

              In general, if the database is available as BLAST database, it is better to use the
              preformatted database.

              1. Technical Support

              Questions and comments on this document and NCBI BLAST related questions
              should be sent to the blast-help group at:
              blast-help@ncbi.nlm.nih.gov

              For information about other NCBI resources/services, please send email to
              NCBI User Service at:
              info@ncbi.nlm.nih.gov

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              • A
                anneng 最后由 编辑

                http://arep.med.harvard.edu/seqanal/db.html
                What is Redundancy?
                A key concept in comparing databases is the issue of redundancy. Many databases try to be "non-redundant". Unfortunately, biological data is too complex to fit a simple definition of redundancy. Are two alleles of the same locus redundant? Two isozymes in the same organism? The same locus in two closely related organisms? Hence, each "non-redundant" database has its own definition of redundancy. Some use automated measures, while others use manual culling; the former are amenable to large projects, the latter give higher quality. Other databases don't attempt to be non-redundant, but rather sacrifice this goal in favor of ensuring completeness.
                Databases
                Nucleotide (DNA & RNA)
                nr (NCBI)
                The nr nucleotide database maintained by NCBI as a target for their BLAST search services is a composite of GenBank, GenBank updates, and EMBL updates.
                Non-redundant: Entries with absolutely identical sequences have been merged.
                GenBank / EMBL / DDBJ
                In theory, GenBank, the EMBL Datalibrary, and the DNA Databank of Japan (DDBJ) are just names for the same database. In reality, small timelags in propagating data between the database centers causes minor differences in these databases. However, if one of these libraries is merged with the updates to all of these databases, a complete set of sequences is formed.
                Redundant: Little to no attempts to reduce redundancy
                dbEST (Boguski, Lowe, & Tolstoshev. Nature Genetics 4:332 1993) is a library of Expressed Sequence Tags (Science 252:1651), single-pass cDNA sequences generated from automated sequencers.
                CAUTION: ESTs are blindly sequenced from cDNA libraries with little or no human intervention; they are therefore likely to contain sequencing errors and are frequently contaminated with heterologous sequences and transcribed repetitive elements.

                Redundant: no attempts made to reduce redundancy
                Protein
                nr (NCBI)
                The nr protein database maintained by NCBI as a target for their BLAST search services is a composite of SwissProt, SwissProt updates, PIR, PDB. Entries with absolutely identical sequences have been merged.
                SwissProt
                SwissProt is maintained by Amos Bairoch at the University of Geneva. SwissProt is a highly-curated, highly-crossreferenced, non-redundant database. Unfortunately, the cost of this labor-intensive quality enhancement process is that not every sequence is in SwissProt. If you wish to look up information about a sequence, SwissProt is the first place to look.
                Non-redundant: manual curation used to provide only one entry per protein product; variants are annotated in entry.
                Highly-cross-referenced to other databases.
                PIR
                The Protein Identification Resource was originated by the late Margaret Dayhoff. It attempts to enjoy the advantages of a complete and a non-redundant database.
                Non-redundant: PIR1 section contains only one entry per protein product.
                Redundant: Complete database (PIR1+PIR2+PIR3) has many redundancies
                PDB
                The Protein Data Bank, maintained by Brookhaven National Laboratory (Long Island, New York, USA), contains all publically available solved protein structures. Searches against the pdb can be used to ask whether any known 3D structures are similar to your query protein.
                Non-redundant: Only the "best" determination of a given structure is left in the database; however, multiple structures for one molecule may exist due to other components (i.e. one entry uncomplexed, one complexed).
                OWL
                Prot. Eng. 3:153
                Non-redundant: Automatically generated from component databases (see reference for further info).
                Protein Motifs
                Prosite
                Prosite is a database of protein motifs maintained by Amos Bairoch at the University of Geneva (NAR 19:2241, 1991). Each motif (defined by either a regular expression or a profile) is accompanied by a description of the motif and what is known about it's biology, as well as a listing of the true positive, false negative, and false positive SwissProt entries for the pattern.
                BLOCKS
                BLOCKS is a database developed by Steve Henikoff and colleagues. A block is a gap-free multiple alignment of sequences based on Prosite (Henikoff & Henikoff, NAR 19:6565 1991).

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                • A
                  anneng 最后由 编辑

                  https://www.ncbi.nlm.nih.gov/books/NBK279670/

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                  • A
                    anneng 最后由 编辑

                    blastdbv5.pdf

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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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                                          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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