nucleotide-sequence
There are 19 repositories under nucleotide-sequence topic.
sshen8/peglit
Automatically identify non-interfering nucleotide linkers between a pegRNA and 3' motif
tseemann/noary
🍣 🦐 A lightweight nucleotide bacterial ortholog clustering tool
manojmw/NetDNA-1.0
This is one of my first python scripts for a simple web-based tool that will generate basic biological data from the query DNA sequence.
DatDarkAlpaca/Degenerate-Bases
The active development version of the degenerate bases algorithm.
Logan1x/Nucleotide-Sequence-generator
Random DNA 🧬 nucleotide generator and reverse compliment finder 🔬
mutalyzer/backtranslate
Protein to RNA reverse translation
rrbox/Nucleotide-Swift
Swift package for bioinformatics
0xnu/nwunsch
Needleman–Wunsch algorithm implementation in Go.
AstraBert/SupaSeqs
Basically BLAST, but written in PostgreSQL😉
Carmoruda/dna-sequence-generator
DNA or RNA complementary, reverse and reverse complementary sequences generator
myon-bioinformatics/search_seq_including_spaces
Narrowly, Find sequences including nucleotide(or amino acid) spacers (Broadly, you can find the speific sequences of front and back while ignoring the middle sequences), and Write the result of finding them to csv files.(Language: Python3.9)
shamseen/pngcat-client
API repo: https://github.com/shamseen/pngcat-api
0xnu/nwunsch_lua
Needleman–Wunsch algorithm implementation in Lua.
DanielSoenarto/bioturtle
a Python program to calculate GC content from fasta file
dansta0804/BIAP_website
BIAP - A website that serves as a tool to analyze biological data (nucleotide and aminoacid sequences) and provide biology-related information in one place.
hewillk/istring
Simple wrapper for std::basic_string<int8_t>.
tusharpandey003/FASTA-Sequence-Analysis-Web-App
Analysis of FASTA ,Protein,DNA sequence.
abhijeetsingh1704/FilterByLength
Filter fasta sequences by length
madisonlondon/Nucleotide-Alignment
This program determines the optimal alignment of two nucleotide sequences using the Smith–Waterman algorithm. Optimality, of course, is determined by the values of the gap penalty g and the weight matrix (that lists all of the s(ai , bj )). Finally the program outputs the optimal similarity score along with the optimal alignment.