--
CATATTGGCATTGGAACATGATCGTAAGGGCTGGCGGTCAGTCCTTTCCCTTATGTTCCTCTGGCTTTAT ----------TTGGAACATGATCGTAAGGGC 1 ----------TTGGAACATGATCGTAAGGG 2 -----------TGGAACATGATCGTAAGGGCTGG 10 -----------TGGAACATGATCGTAAGGGCTG 8855 -----------TGGAACATGATCGTAAGGGCT 2850 -----------TGGAACATGATCGTAAGGGC 1604 -----------TGGAACATGATCGTAAGGG 2876 ------------GGAACATGATCGTAAGGGCTG 6 ------------GGAACATGATCGTAAGGGCT 1 --------------AACATGATCGTAAGGGCTG 2
CATATTGGCATTGGAACATGATCGTAAGGGCTGGCGGTCAGTCCTTTCCCTTATGTTCCTCTGGCTTTAT ----------TTGGAACATGATCGTAAGGGCT 2 ----------TTGGAACATGATCGTAAGGGC 1 -----------TGGAACATGATCGTAAGGGCTGG 2 -----------TGGAACATGATCGTAAGGGCTG 2830 -----------TGGAACATGATCGTAAGGGCT 270 -----------TGGAACATGATCGTAAGGGC 473 -----------TGGAACATGATCGTAAGGG 921 ------------GGAACATGATCGTAAGGGCTG 2 -------------GAACATGATCGTAAGGGCTG 2
CATATTGGCATTGGAACATGATCGTAAGGGCTGGCGGTCAGTCCTTTCCCTTATGTTCCTCTGGCTTTAT -----------TGGAACATGATCGTAAGGGCT 1 -----------TGGAACATGATCGTAAGGGC 1646 -----------TGGAACATGATCGTAAGGG 33 ------------GGAACATGATCGTAAGGGCT 1 -------------GAACATGATCGTAAGGGCTG 1
CATATTGGCATTGGAACATGATCGTAAGGGCTGGCGGTCAGTCCTTTCCCTTATGTTCCTCTGGCTTTAT -----------TGGAACATGATCGTAAGGGCTG 12 -----------TGGAACATGATCGTAAGGGCT 1 -----------TGGAACATGATCGTAAGGGC 3 -----------TGGAACATGATCGTAAGGG 1
miRNEST 2.0, an integrative microRNA resource :: deep sequencing predictions
