Selected article for: "blast search and homology share"

Author: Asiedu Ebenezer
Title: Designing Effective small interfering RNA for Post-Transcriptional Silencing of Human GREM1: A Comprehensive Bioinformatics Approach
  • Document date: 2020_1_24
  • ID: j99qg2a0_19
    Snippet: The standard nucleotide blast (blastn) of the NCBI (https://blast.ncbi.nlm.nih.gov/Blast.cgi) was used to search for sequences that share homology with the selected siRNA candidates. The human Genomic plus Transcript (Human G + T) database was used for all the similarity searches. The blast algorithm was optimized to search for somewhat similar sequences (blastn) for all siRNA sequences and mega-blast for mRNA sequence. Expect threshold was set t.....
    Document: The standard nucleotide blast (blastn) of the NCBI (https://blast.ncbi.nlm.nih.gov/Blast.cgi) was used to search for sequences that share homology with the selected siRNA candidates. The human Genomic plus Transcript (Human G + T) database was used for all the similarity searches. The blast algorithm was optimized to search for somewhat similar sequences (blastn) for all siRNA sequences and mega-blast for mRNA sequence. Expect threshold was set to 1000 and scoring parameters set to default.

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