I used DEseq to find differentially expressed genes between two samples, for each sample i have 3 replicates, for the DEseq result, i got exactly same padj value for a lot of genes but their p-values are different as attached, is this normal ?
To expand on German's answer, this is due to how adjust p-values are calculated with the default (Benjamini-Hochberg) adjustment procedure in R. In short, the p-values are ranked from smallest to largest, and those ranks become part of the calculation.
This Stats SE post explains it nicely, but in short, each unadjusted p-value is multiplied by the number of tests and then divided by its rank order. When p-values are particularly close to each other, this can lead to a more lowly ranked unadjusted p-value ending up with a smaller adjusted p-value than the one before it. In these cases where the resulting sequence is non-decreasing, the preceding p-value is changed to the subsequent one such that they are the same. This is what you're observing in your results, and it's normal.