What I learned from Data Structures and Algorithms Specialization on Coursera.
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Updated
Oct 25, 2020 - C++
What I learned from Data Structures and Algorithms Specialization on Coursera.
Micro genome assembler. Uses BWT for seeding/pattern matching and a greedy score based aligner.
Algorithms to compute the Burrows-Wheeler Similarity Distributions [SPIRE'18, TCS 2019]
Bilkent University CS 481 Bioinformatics Algorithms assignments
novel high throughput entropy encoder for BWT data
Basic seed-and-extend DNA sequence read aligner
Parallel external memory construction of BWT from SA
Hybrid text compression pipeline using Burrows Wheelers Transform, Huffman encoding, Run-length encoding, Lempel-Ziv-Welch compression and Delta encoding
Bioinformatics course project: Computing the LCP array based on BWT
A Fast C++ Lossless Compress/Decompress CLI Program with High Compression Ratio
Bioinformatics Data Structures & Algorithms [such as the Q-Gram Index, scoring alignments , rna-structure prediction, generating the BLAST-Ńeighborhood and more.]
DNA Sequencing 1 Top Coder Data Science Marathon Match
Algorihms about Suffix Array Construction, Suffix Tree, Longest Common Prefix, Burrows Wheeler Transform,
msufsort parallel suffix array construction algorithm
Fast and Strong Burrows Wheeler Model
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