Bioinformatics in Fortran
Master genome analysis, protein sequencing, and computational biology using Fortran's high-performance tools.
Genome Analysis
Perform high throughput genomic data processing using Fortran's arrays and string capabilities.
Protein Structure Prediction
Implement algorithms for predicting protein structures from primary sequence data.
Algorithm Optimization
Speed up sequence alignment and motif discovery with Fortran's parallel processing.
Technical Curriculum
- 🔲 Sequence alignment algorithms and optimizations
- 🟨 Protein structure prediction models
- 🟥 High-throughput data processing patterns
- 🟩 Biological database integration
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✅80% faster than Python for sequence alignment
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✅Interoperability with Biopython and BED Tools
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✅GPU optimized motif discovery
Fortran Bioinformatics Projects
Genome Sequence Aligner
Leverage Fortran's high-performance processing for genome sequence comparisons.
View Details →Proteomic Analysis Tool
Develop tools for protein sequence database analysis and pattern discovery.
View Details →Motif Discovery Engine
Discover regulatory DNA motifs using Fortran's high-speed string processing.
View Details →Sample Fortran Code
! Sample sequence alignment code
program sequence_analysis
implicit none
integer :: i, j
character(len=200) :: ref_sequence = "ATCCGGTTCAAGGTCT"
character(len=200) :: test_sequence = "ATCGTAACGCT"
! Compute alignment matrix
integer, dimension(10,10) :: score_matrix
do i = 1, len(trim(ref_sequence))
do j = 1, len(trim(test_sequence))
if (ref_seq(i:i) == test_seq(j:j)) then
score_matrix(i,j) = score_matrix(i,j) + 1
else
score_matrix(i,j) = score_matrix(i,j) - 1
end if
end do
end do
! Find optimal alignment score
print *, "Optimal score:", maxval(score_matrix)
end program sequence_analysis
Begin your journey into bioinformatics