Staphylococcus pseudintermedius ED99

The prediction was done using a set of srn genes identified from SRD RNA-seq analysis.
Numbers of SRD’S predicted srn sequences =
subject_seq_id identity length mismatch gapopen query_start query_end subject_start subject_end evalue bitscore
tmRNA88.303594022006451200680735914e-119 429
4.5S90.992332102397016239724823421e-84 315
6S87.612181891198848119906121861e-63 244
RNaseP85.252442410137078213710174351962e-62 241
srn_3040_Sau5091.161471301345398134554414713e-50 200
srn_3550_Teg7589.80147671034309103445014534e-44 180
srn_2130_rsaE92.171157118999071900019202881e-38 161
srn_3050_sRNA24284.3514723013412631341409158122e-33 145
srn_0930_Teg7698.285810251660725166646149e-21 102
srn_4220_sRNA34595.08613066683966689987274e-1997.1
srn_4220_sRNA34595.08613066430466436487274e-1997.1
srn_4160_Sau25100.004600815807815852105609e-1686.1
srn_4160_Sau25100.00460023469872347032601059e-1686.1
srn_4160_Sau25100.00450023931002393144601043e-1584.2
srn_4160_Sau25100.004400711516711559103601e-1482.4
srn_4160_Sau25100.004300957619957661102604e-1480.5
srn_2880_RsaOQ87.6773453951063951761312004e-1480.5
srn_4390_rsaOG100.00370058135358138948129e-1169.4
Biogenouest IRISA INRIA Université de Rennes 1 Région Bretagne

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