Using exam hall finder admission candidates can find their exam hall locations easily using google map. Enter your roll number and click on search button to find the exam hall location. Click on marker to get detailed hall information and directions in google map.
Developed by: Anik[Batch-1],Ishmam[Batch-2],Asif[Batch-3]
@2024
we have read 5 research papers and summarize that every paper
just tell the method but that does not exact implement just tell the
DFS algorithm and some methods like GENIE3,TIGRESS,NIMEFI,CLR,
ARACNE,PLSNET. But those methods are better but using dfs algorithm we are implementing the gene
regulatory network as grapgh
matrix. The row represent the gene and the column represent the expression level that means sample
expression level and every method
have limitations. we use the dfs algorithm using gene regulatory network but we have limitations the
matrix 1000 x 1000 maximum limit
that means we compute only 1000 genes.
Developed by: MD Fazley Elahi,Syed Jubayer Islam Jehad
@2024
Phylogenetics is a powerful method in finding evolution of current day
species.
We have developed a new tool, called Phylo-BiE, for constructing
phylogenetic trees from DNA sequences. Our program uses the neighborjoining approach. Several
enhancements, including algorithmic changes,
significantly improve performance and reduce memory usage, making it
compatible with constructing even very large trees. Trees containing 10–
100 taxa have been easily generated, and phylogenetic estimates are
possible even when hundreds of sequences exist.
This tool will give us computational solutions for building phylogeny of
species along with highlighting benefits of sequence alignment methods
of phylogenetics
Developed by: Anik Howlader
@2024
This software is made using python. It can read multifasta format and create a protein-protein network out
of it. It uses simple algorithm such as levenstein algorithm to find the distance between the proteins
read from the fasta sequence and based on the result it creates a distance matrix and graph to visualize
the protein network.
Developed by: Nazia Sultana Moon
@2024