Recurrent neural network implementations for protein secondary structure prediction and language models
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Updated
Sep 18, 2018 - Python
Recurrent neural network implementations for protein secondary structure prediction and language models
A Python package that has functions for featue calculation of protein sequences. Features that are calculated by this package are niched for Epitope prediction.
IsoAligner: dynamic mapping of amino acid positions across protein isoforms
Protein to RNA reverse translation
In Agglomerative we start with all points as individual clusters and then keep on combining clusters until required number of clusters are not formed using linkages like single, complete, average, ward or centroid.
Creating plots using FASTA amino-acid files
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)
Python Scripts for Haim Lab (Microbiology Research) Projects
NAUniSeq: A fast computational pipeline to search unique sequences for microbial diagnostics
Homework 2 for MCS 5603 Intro to Bioinformatics. Written in Python.
An implementation of the ID3 algorithm using an amino acid dataset.
Translation of the FASTA file with genetic code into aminoacid code.
Filter fasta sequences by length
A program which allows codon optimization for multiple species at the same time
FA21 Independent Study Semester Project
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