/bio-local-blast
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/bio-local-blast
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bio-local-blast.SKILL.md<!--
COPYRIGHT NOTICE
This file is part of the "Universal Biomedical Skills" project.
Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
All Rights Reserved.
#
This code is proprietary and confidential.
Unauthorized copying of this file, via any medium is strictly prohibited.
#
Provenance: Authenticated by MD BABU MIA
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--- name: bio-local-blast description: Run local BLAST searches using BLAST+ command-line tools. Use when running fast unlimited searches, building custom databases, performing large-scale analysis, or when NCBI servers are slow or unavailable. tool_type: cli primary_tool: BLAST+ measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
---
Local BLAST
Run BLAST searches locally using NCBI BLAST+ command-line tools.
Installation
# macOS
brew install blast
# Ubuntu/Debian
sudo apt install ncbi-blast+
# conda
conda install -c bioconda blast
# Verify installation
blastn -version
BLAST+ Programs
| Command | Query | Database | Description | |---------|-------|----------|-------------| | `blastn` | DNA | DNA | Nucleotide-nucleotide | | `blastp` | Protein | Protein | Protein-protein | | `blastx` | DNA | Protein | Translated query vs protein | | `tblastn` | Protein | DNA | Protein vs translated DB | | `tblastx` | DNA | DNA | Translated vs translated | | `makeblastdb` | - | - | Create BLAST database |
Creating BLAST Databases
makeblastdb - Create Database
# Create nucleotide database
makeblastdb -in sequences.fasta -dbtype nucl -out my_db
# Create protein database
makeblastdb -in proteins.fasta -dbtype prot -out my_proteins
# With title and parse sequence IDs
makeblastdb -in sequences.fasta -dbtype nucl -out my_db \
-title "My Reference Database" -parse_seqids**Key Options:** | Option | Description | Values | |--------|-------------|--------| | `-in` | Input FASTA file | Path | | `-dbtype` | Database type | `nucl`, `prot` | | `-out` | Output database name | Path prefix | | `-title` | Database title | String | | `-parse_seqids` | Enable ID-based retrieval | Flag | | `-taxid` | Assign taxonomy ID | Integer | | `-taxid_map` | Taxonomy ID mapping file | Path |
Database Files Created
my_db.nhr # Header file (nucl) / .phr (prot)
my_db.nin # Index file (nucl) / .pin (prot)
my_db.nsq # Sequence file (nucl) / .psq (prot)
my_db.ndb # Alias file (optional)
my_db.not # ID index (if parse_seqids)
my_db.ntf # Index (if parse_seqids)
my_db.nto # Index (if parse_seqids)
Running BLAST Searches
Basic Usage
# BLASTN
blastn -query query.fasta -db my_db -out results.txt
# BLASTP
blastp -query proteins.fasta -db my_proteins -out results.txt
# BLASTX (translate query, search protein DB)
blastx -query genes.fasta -db nr -out results.txt
Common Options
| Option | Description | Example | |--------|-------------|---------| | `-query` | Query FASTA file | `-query seq.fa` | | `-db` | Database name | `-db nt` | | `-out` | Output file | `-out results.txt` | | `-outfmt` | Output format | `-outfmt 6` | | `-evalue` | E-value threshold | `-evalue 1e-5` | | `-num_threads` | CPU threads | `-num_threads 8` | | `-max_target_seqs` | Max hits | `-max_target_seqs 100` | | `-max_hsps` | Max HSPs per hit | `-max_hsps 1` | | `-word_size` | Word size | `-word_size 11` | | `-dust` | Filter low complexity (nucl) | `-dust yes` | | `-seg` | Filter low complexity (prot) | `-seg yes` |
Output Formats (-outfmt)
| Value | Format | |-------|--------| | `0` | Pairwise (default) | | `1` | Query-anchored with identities | | `5` | BLAST XML | | `6` | Tabular | | `7` | Tabular with comments | | `10` | CSV |
Tabular Output Fields (-outfmt 6)
Default columns: `qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore`
Custom columns:
blastn -query query.fa -db my_db -outfmt "6 qseqid sseqid pident length evalue stitle"
**Available Fields:** | Field | Description | |-------|-------------| | `qseqid` | Query ID | | `sseqid` | Subject ID | | `pident` | Percent identity | | `length` | Alignment length | | `mismatch` | Mismatches | | `gapopen` | Gap openings | | `qstart` | Query start | | `qend` | Query end | | `sstart` | Subject start | | `send` | Subject end | | `evalue` | E-value | | `bitscore` | Bit score | | `stitle` | Subject title | | `qcovs` | Query coverage | | `qcovhsp` | Query coverage per HSP |
Code Patterns
Create Database and Search
#!/bin/bash
# Create database from reference sequences
makeblastdb -in reference.fasta -dbtype nucl -out ref_db -parse_seqids
# Run BLAST
blastn -query query.fasta -db ref_db -out results.txt \
-outfmt 6 -evalue 1e-10 -num_threads 4
# View results
head results.txtBLAST with Tabular Output
#!/bin/bash
blastn -query query.fasta -db my_db \
-outfmt "6 qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore stitle" \
-evalue 1e-5 \
-max_target_seqs 10 \
-num_threads 8 \
-out results.tsvFilter and Sort Results
# Get hits with >90% identity
awk -F'\t' '$3 >= 90' results.tsv
# Sort by E-value
sort -t$'\t' -k11 -g results.tsv
# Get best hit per query
sort -t$'\t' -k1,1 -k11,11g results.tsv | sort -t$'\t' -k1,1 -u
Batch BLAST Multiple Files
#!/bin/bash
for query_file in queries/*.fasta; do
base=$(basename "$query_file" .fasta)
echo "Processing $base..."
blastn -query "$query_file" -db my_db \
-outfmt 6 -evalue 1e-5 -num_threads 4 \
-out "results/${base}_blast.tsv"
donePython Wrapper
import subprocess
import os
def make_blast_db(fasta_file, db_name, db_type='nucl'):
cmd = ['makeblastdb', '-in', fasta_file, '-dbtype', db_type, '-out', db_name, '-parse_seqids']
subprocess.run(cmd, check=True)
def run_blast(query, db, output, program='blastn', evalue=1e-5, thrRead more
<!--
COPYRIGHT NOTICE
This file is part of the "Universal Biomedical Skills" project.
Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
All Rights Reserved.
#
This code is proprietary and confidential.
Unauthorized copying of this file, via any medium is strictly prohibited.
#
Provenance: Authenticated by MD BABU MIA
-->
--- name: bio-local-blast description: Run local BLAST searches using BLAST+ command-line tools. Use when running fast unlimited searches, building custom databases, performing large-scale analysis, or when NCBI servers are slow or unavailable. tool_type: cli primary_tool: BLAST+ measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
---
Local BLAST
Run BLAST searches locally using NCBI BLAST+ command-line tools.
Installation
# macOS brew install blast # Ubuntu/Debian sudo apt install ncbi-blast+ # conda conda install -c bioconda blast # Verify installation blastn -version
BLAST+ Programs
| Command | Query | Database | Description | |---------|-------|----------|-------------| | `blastn` | DNA | DNA | Nucleotide-nucleotide | | `blastp` | Protein | Protein | Protein-protein | | `blastx` | DNA | Protein | Translated query vs protein | | `tblastn` | Protein | DNA | Protein vs translated DB | | `tblastx` | DNA | DNA | Translated vs translated | | `makeblastdb` | - | - | Create BLAST database |
Creating BLAST Databases
makeblastdb - Create Database
# Create nucleotide database
makeblastdb -in sequences.fasta -dbtype nucl -out my_db
# Create protein database
makeblastdb -in proteins.fasta -dbtype prot -out my_proteins
# With title and parse sequence IDs
makeblastdb -in sequences.fasta -dbtype nucl -out my_db \
-title "My Reference Database" -parse_seqids**Key Options:** | Option | Description | Values | |--------|-------------|--------| | `-in` | Input FASTA file | Path | | `-dbtype` | Database type | `nucl`, `prot` | | `-out` | Output database name | Path prefix | | `-title` | Database title | String | | `-parse_seqids` | Enable ID-based retrieval | Flag | | `-taxid` | Assign taxonomy ID | Integer | | `-taxid_map` | Taxonomy ID mapping file | Path |
Database Files Created
my_db.nhr # Header file (nucl) / .phr (prot) my_db.nin # Index file (nucl) / .pin (prot) my_db.nsq # Sequence file (nucl) / .psq (prot) my_db.ndb # Alias file (optional) my_db.not # ID index (if parse_seqids) my_db.ntf # Index (if parse_seqids) my_db.nto # Index (if parse_seqids)
Running BLAST Searches
Basic Usage
# BLASTN blastn -query query.fasta -db my_db -out results.txt # BLASTP blastp -query proteins.fasta -db my_proteins -out results.txt # BLASTX (translate query, search protein DB) blastx -query genes.fasta -db nr -out results.txt
Common Options
| Option | Description | Example | |--------|-------------|---------| | `-query` | Query FASTA file | `-query seq.fa` | | `-db` | Database name | `-db nt` | | `-out` | Output file | `-out results.txt` | | `-outfmt` | Output format | `-outfmt 6` | | `-evalue` | E-value threshold | `-evalue 1e-5` | | `-num_threads` | CPU threads | `-num_threads 8` | | `-max_target_seqs` | Max hits | `-max_target_seqs 100` | | `-max_hsps` | Max HSPs per hit | `-max_hsps 1` | | `-word_size` | Word size | `-word_size 11` | | `-dust` | Filter low complexity (nucl) | `-dust yes` | | `-seg` | Filter low complexity (prot) | `-seg yes` |
Output Formats (-outfmt)
| Value | Format | |-------|--------| | `0` | Pairwise (default) | | `1` | Query-anchored with identities | | `5` | BLAST XML | | `6` | Tabular | | `7` | Tabular with comments | | `10` | CSV |
Tabular Output Fields (-outfmt 6)
Default columns: `qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore`
Custom columns:
blastn -query query.fa -db my_db -outfmt "6 qseqid sseqid pident length evalue stitle"
**Available Fields:** | Field | Description | |-------|-------------| | `qseqid` | Query ID | | `sseqid` | Subject ID | | `pident` | Percent identity | | `length` | Alignment length | | `mismatch` | Mismatches | | `gapopen` | Gap openings | | `qstart` | Query start | | `qend` | Query end | | `sstart` | Subject start | | `send` | Subject end | | `evalue` | E-value | | `bitscore` | Bit score | | `stitle` | Subject title | | `qcovs` | Query coverage | | `qcovhsp` | Query coverage per HSP |
Code Patterns
Create Database and Search
#!/bin/bash
# Create database from reference sequences
makeblastdb -in reference.fasta -dbtype nucl -out ref_db -parse_seqids
# Run BLAST
blastn -query query.fasta -db ref_db -out results.txt \
-outfmt 6 -evalue 1e-10 -num_threads 4
# View results
head results.txtBLAST with Tabular Output
#!/bin/bash
blastn -query query.fasta -db my_db \
-outfmt "6 qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore stitle" \
-evalue 1e-5 \
-max_target_seqs 10 \
-num_threads 8 \
-out results.tsvFilter and Sort Results
# Get hits with >90% identity awk -F'\t' '$3 >= 90' results.tsv # Sort by E-value sort -t$'\t' -k11 -g results.tsv # Get best hit per query sort -t$'\t' -k1,1 -k11,11g results.tsv | sort -t$'\t' -k1,1 -u
Batch BLAST Multiple Files
#!/bin/bash
for query_file in queries/*.fasta; do
base=$(basename "$query_file" .fasta)
echo "Processing $base..."
blastn -query "$query_file" -db my_db \
-outfmt 6 -evalue 1e-5 -num_threads 4 \
-out "results/${base}_blast.tsv"
donePython Wrapper
import subprocess
import os
def make_blast_db(fasta_file, db_name, db_type='nucl'):
cmd = ['makeblastdb', '-in', fasta_file, '-dbtype', db_type, '-out', db_name, '-parse_seqids']
subprocess.run(cmd, check=True)
def run_blast(query, db, output, program='blastn', evalue=1e-5, thrThe largest open-source medical AI skill library for OpenClaw.
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