Now showing items 1-4 of 4

    • Identifying the best metrics to find the best quality clusters of genes from gene expression data 

      Choudhury, Joydhriti; Roshni, Tanzima Rahman; Chowdhury, Md. Tawhidul Islam; Rayon, Raihanoor Reza (Brac University, 2019-04)
      Microarray data is used to create groups of similar genes based on their phenotypic attributes. Information extracted from these groups of gene can be applied to path- way analysis, disease predictions, target identification ...
    • Protein folding in HP model on hexagonal lattices with diagonals 

      Shaw, Dipan Lal; Islam, ASM Shohidull; Rahman, M. Sohel; Hasan, Masud (© 2014 BioMed Central Ltd., 2014)
      Three dimensional structure prediction of a protein from its amino acid sequence, known as protein folding, is one of the most studied computational problem in bioinformatics and computational biology. Since, this is a ...
    • Qualitative classification of the breast cancer genome and clustering of the cancer gene network 

      Fatema, Kaniz; Shabnam, Shejuti; Saha, Akash (BRAC University, 2019-04)
      The purpose of cancer genome project is to classify the genetic variations that are related to clinical phenotypes. However, some studies showed that some specific cellular pathways are targeted by the cancer mutations ...
    • Seqdev: an algorithm for constructing genetic elements using comparative assembly 

      Rahman, Tasnim; Heickal, Hasnain; Tabrejee, Shamira; Chowdhury, Md Miraj Kobad; Sarwar, Sheikh Muhammad; Shoyaib, Mohammad (© 2016 Bangladesh Association for Plant Tissue, 2016)
      With the availability of recent next generation sequencing technologies and their low cost, genomes of different organisms are being sequenced frequently. Therefore, quick assembly of genome, transcriptome, and target ...