-
1
-
-
0027751663
-
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
-
Lee RC, Feinbaum RL, Ambros V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 1993, 75:843-54.
-
(1993)
Cell
, vol.75
, pp. 843-854
-
-
Lee, R.C.1
Feinbaum, R.L.2
Ambros, V.3
-
2
-
-
0347444723
-
MicroRNAs: genomics, biogenesis, mechanism, and function
-
Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 2004, 116:281-97.
-
(2004)
Cell
, vol.116
, pp. 281-297
-
-
Bartel, D.P.1
-
3
-
-
57749183871
-
Regulating the regulators: mechanisms controlling the maturation of microRNAs
-
Ding XC, Weiler J, Grosshans H. Regulating the regulators: mechanisms controlling the maturation of microRNAs. Trends in biotechnology 2009, 27:27-36.
-
(2009)
Trends in biotechnology
, vol.27
, pp. 27-36
-
-
Ding, X.C.1
Weiler, J.2
Grosshans, H.3
-
6
-
-
0037447334
-
The microRNAs of Caenorhabditis elegans
-
196042, 12672692
-
Lim LP, Lau NC, Weinstein EG, et al. The microRNAs of Caenorhabditis elegans. Genes & development 2003, 17:991-1008. 196042, 12672692.
-
(2003)
Genes & development
, vol.17
, pp. 991-1008
-
-
Lim, L.P.1
Lau, N.C.2
Weinstein, E.G.3
-
7
-
-
6344281172
-
Identification of mammalian microRNA host genes and transcription units
-
524413, 15364901
-
Rodriguez A, Griffiths-Jones S, Ashurst JL, Bradley A. Identification of mammalian microRNA host genes and transcription units. Genome research 2004, 14:1902-10. 524413, 15364901.
-
(2004)
Genome research
, vol.14
, pp. 1902-1910
-
-
Rodriguez, A.1
Griffiths-Jones, S.2
Ashurst, J.L.3
Bradley, A.4
-
8
-
-
19444367079
-
Mammalian microRNAs derived from genomic repeats
-
Smalheiser NR, Torvik VI. Mammalian microRNAs derived from genomic repeats. Trends in genetics TIG 2005, 21:322-6.
-
(2005)
Trends in genetics TIG
, vol.21
, pp. 322-326
-
-
Smalheiser, N.R.1
Torvik, V.I.2
-
9
-
-
3142613181
-
Single processing center models for human Dicer and bacterial RNase III
-
Zhang H, Kolb FA, Jaskiewicz L, Westhof E, Filipowicz W. Single processing center models for human Dicer and bacterial RNase III. Cell 2004, 118:57-68.
-
(2004)
Cell
, vol.118
, pp. 57-68
-
-
Zhang, H.1
Kolb, F.A.2
Jaskiewicz, L.3
Westhof, E.4
Filipowicz, W.5
-
10
-
-
75649129754
-
Sorting of Drosophila small silencing RNAs partitions microRNA* strands into the RNA interference pathway
-
2802036, 19917635
-
Ghildiyal M, Xu J, Seitz H, Weng Z, Zamore PD. Sorting of Drosophila small silencing RNAs partitions microRNA* strands into the RNA interference pathway. RNA 2010, 16:43-56. 2802036, 19917635.
-
(2010)
RNA
, vol.16
, pp. 43-56
-
-
Ghildiyal, M.1
Xu, J.2
Seitz, H.3
Weng, Z.4
Zamore, P.D.5
-
11
-
-
70449122099
-
Distinct mechanisms for microRNA strand selection by Drosophila Argonautes
-
2785079, 19917251
-
Okamura K, Liu N, Lai EC. Distinct mechanisms for microRNA strand selection by Drosophila Argonautes. Molecular cell 2009, 36:431-44. 2785079, 19917251.
-
(2009)
Molecular cell
, vol.36
, pp. 431-444
-
-
Okamura, K.1
Liu, N.2
Lai, E.C.3
-
12
-
-
0035966319
-
MicroRNAs: tiny regulators with great potential
-
Ambros V. microRNAs: tiny regulators with great potential. Cell 2001, 107:823-6.
-
(2001)
Cell
, vol.107
, pp. 823-826
-
-
Ambros, V.1
-
13
-
-
66249117657
-
Lowly expressed human microRNA genes evolve rapidly
-
Liang H, Li W. Lowly expressed human microRNA genes evolve rapidly. Molecular biology and evolution 2009, 26:1195-8.
-
(2009)
Molecular biology and evolution
, vol.26
, pp. 1195-1198
-
-
Liang, H.1
Li, W.2
-
14
-
-
41849084855
-
Discovering microRNAs from deep sequencing data using miRDeep
-
Friedländer MR, Chen W, Adamidi C, et al. Discovering microRNAs from deep sequencing data using miRDeep. Nature biotechnology 2008, 26:407-15.
-
(2008)
Nature biotechnology
, vol.26
, pp. 407-415
-
-
Friedländer, M.R.1
Chen, W.2
Adamidi, C.3
-
15
-
-
0038054470
-
Computational and experimental identification of C. elegans microRNAs
-
Grad Y, Aach J, Hayes GD, et al. Computational and experimental identification of C. elegans microRNAs. Molecular cell 2003, 11:1253-63.
-
(2003)
Molecular cell
, vol.11
, pp. 1253-1263
-
-
Grad, Y.1
Aach, J.2
Hayes, G.D.3
-
16
-
-
0035834489
-
Direct RNA motif definition and identification from multiple sequence alignments using secondary structure profiles
-
Gautheret D, Lambert A. Direct RNA motif definition and identification from multiple sequence alignments using secondary structure profiles. Journal of molecular biology 2001, 313:1003-11.
-
(2001)
Journal of molecular biology
, vol.313
, pp. 1003-1011
-
-
Gautheret, D.1
Lambert, A.2
-
17
-
-
24644476482
-
MicroRNA identification based on sequence and structure alignment
-
Wang X, Zhang J, Li F, et al. MicroRNA identification based on sequence and structure alignment. Bioinformatics 2005, 21:3610-4.
-
(2005)
Bioinformatics
, vol.21
, pp. 3610-3614
-
-
Wang, X.1
Zhang, J.2
Li, F.3
-
18
-
-
22844440427
-
Identification of hundreds of conserved and nonconserved human microRNAs
-
Bentwich I, Avniel A, Karov Y, et al. Identification of hundreds of conserved and nonconserved human microRNAs. Nature genetics 2005, 37:766-70.
-
(2005)
Nature genetics
, vol.37
, pp. 766-770
-
-
Bentwich, I.1
Avniel, A.2
Karov, Y.3
-
19
-
-
65849520676
-
Current tools for the identification of miRNA genes and their targets
-
2677885, 19295136
-
Mendes ND, Freitas AT, Sagot M. Current tools for the identification of miRNA genes and their targets. Nucleic acids research 2009, 37:2419-33. 2677885, 19295136.
-
(2009)
Nucleic acids research
, vol.37
, pp. 2419-2433
-
-
Mendes, N.D.1
Freitas, A.T.2
Sagot, M.3
-
20
-
-
21844477027
-
Human microRNA prediction through a probabilistic co-learning model of sequence and structure
-
1159118, 15987789
-
Nam J, Shin K, Han J, et al. Human microRNA prediction through a probabilistic co-learning model of sequence and structure. Nucleic acids research 2005, 33:3570-81. 1159118, 15987789.
-
(2005)
Nucleic acids research
, vol.33
, pp. 3570-3581
-
-
Nam, J.1
Shin, K.2
Han, J.3
-
21
-
-
36249010340
-
MiRRim: A novel system to find conserved miRNAs with high sensitivity and specificity
-
2080609, 17959929
-
Terai G, Komori T, Asai K, Kin T. miRRim: A novel system to find conserved miRNAs with high sensitivity and specificity. RNA 2007, 2081-2090. 2080609, 17959929.
-
(2007)
RNA
, pp. 2081-2090
-
-
Terai, G.1
Komori, T.2
Asai, K.3
Kin, T.4
-
22
-
-
34547596338
-
MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features
-
1933124, 17553836
-
Jiang P, Wu H, Wang W, et al. MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Nucleic acids research 2007, 35:W339-44. 1933124, 17553836.
-
(2007)
Nucleic acids research
, vol.35
-
-
Jiang, P.1
Wu, H.2
Wang, W.3
-
23
-
-
33745594057
-
Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier
-
Yousef M, Nebozhyn M, Shatkay H, et al. Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier. Bioinformatics 2006, 22:1325-1334.
-
(2006)
Bioinformatics
, vol.22
, pp. 1325-1334
-
-
Yousef, M.1
Nebozhyn, M.2
Shatkay, H.3
-
24
-
-
46249127789
-
MicroRNA prediction with a novel ranking algorithm based on random walks
-
2718653, 18586744
-
Xu Y, Zhou X, Zhang W. MicroRNA prediction with a novel ranking algorithm based on random walks. Bioinformatics 2008, 24:i50-8. 2718653, 18586744.
-
(2008)
Bioinformatics
, vol.24
-
-
Xu, Y.1
Zhou, X.2
Zhang, W.3
-
25
-
-
30344447264
-
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine
-
1360673, 16381612
-
Xue C, Li F, He T, et al. Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine. BMC bioinformatics 2005, 6:310. 1360673, 16381612.
-
(2005)
BMC bioinformatics
, vol.6
, pp. 310
-
-
Xue, C.1
Li, F.2
He, T.3
-
26
-
-
33747871855
-
Hairpins in a Haystack: recognizing microRNA precursors in comparative genomics data
-
Hertel J, Stadler PF. Hairpins in a Haystack: recognizing microRNA precursors in comparative genomics data. Bioinformatics 2006, 22:e197-202.
-
(2006)
Bioinformatics
, vol.22
-
-
Hertel, J.1
Stadler, P.F.2
-
27
-
-
34447309058
-
De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures
-
Ng KL, Mishra SK. De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures. Bioinformatics 2007, 23:1321-30.
-
(2007)
Bioinformatics
, vol.23
, pp. 1321-1330
-
-
Ng, K.L.1
Mishra, S.K.2
-
28
-
-
38349097919
-
MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans
-
2206061, 17868480
-
Huang T, Fan B, Rothschild MF, et al. MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans. BMC bioinformatics 2007, 8:341. 2206061, 17868480.
-
(2007)
BMC bioinformatics
, vol.8
, pp. 341
-
-
Huang, T.1
Fan, B.2
Rothschild, M.F.3
-
29
-
-
38549150275
-
MiRBase: tools for microRNA genomics
-
2238936, 17991681
-
Griffiths-Jones S, Saini HK, van Dongen S, Enright AJ. miRBase: tools for microRNA genomics. Nucleic acids research 2008, 36:D154-8. 2238936, 17991681.
-
(2008)
Nucleic acids research
, vol.36
-
-
Griffiths-Jones, S.1
Saini, H.K.2
van Dongen, S.3
Enright, A.J.4
-
30
-
-
0033765362
-
Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs
-
Rivas E, Eddy SR. Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs. Bioinformatics 2000, 16:583-605.
-
(2000)
Bioinformatics
, vol.16
, pp. 583-605
-
-
Rivas, E.1
Eddy, S.R.2
-
32
-
-
64549116289
-
MicroPred: effective classification of pre-miRNAs for human miRNA gene prediction
-
Batuwita R, Palade V. microPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics 2009, 25:989-95.
-
(2009)
Bioinformatics
, vol.25
, pp. 989-995
-
-
Batuwita, R.1
Palade, V.2
-
33
-
-
70349661909
-
Human miRNA precursors with box H/ACA snoRNA features
-
2730528, 19763159
-
Scott MS, Avolio F, Ono M, Lamond AI, Barton GJ. Human miRNA precursors with box H/ACA snoRNA features. PLoS computational biology 2009, 5:e1000507. 2730528, 19763159.
-
(2009)
PLoS computational biology
, vol.5
-
-
Scott, M.S.1
Avolio, F.2
Ono, M.3
Lamond, A.I.4
Barton, G.J.5
-
34
-
-
0036087522
-
UTRdb and UTRsite: specialized databases of sequences and functional elements of 5' and 3' untranslated regions of eukaryotic mRNAs. Update 2002
-
99102, 11752330
-
Pesole G, Liuni S, Grillo G, et al. UTRdb and UTRsite: specialized databases of sequences and functional elements of 5' and 3' untranslated regions of eukaryotic mRNAs. Update 2002. Nucleic acids research 2002, 30:335-40. 99102, 11752330.
-
(2002)
Nucleic acids research
, vol.30
, pp. 335-340
-
-
Pesole, G.1
Liuni, S.2
Grillo, G.3
-
35
-
-
58149191274
-
Rfam: updates to the RNA families database
-
2686503, 18953034
-
Gardner PP, Daub J, Tate JG, et al. Rfam: updates to the RNA families database. Nucleic acids research 2009, 37:D136-40. 2686503, 18953034.
-
(2009)
Nucleic acids research
, vol.37
-
-
Gardner, P.P.1
Daub, J.2
Tate, J.G.3
-
36
-
-
33745807260
-
An approach for the identification of microRNA with an application to Anopheles gambiae
-
Chatterjee R, Chaudhuri K. An approach for the identification of microRNA with an application to Anopheles gambiae. ACTA BIOCHIMICA POLONICA-ENGLISH 2006, 53:303-309.
-
(2006)
ACTA BIOCHIMICA POLONICA-ENGLISH
, vol.53
, pp. 303-309
-
-
Chatterjee, R.1
Chaudhuri, K.2
-
38
-
-
33745634395
-
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
-
Li W, Godzik A. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 2006, 22:1658-9.
-
(2006)
Bioinformatics
, vol.22
, pp. 1658-1659
-
-
Li, W.1
Godzik, A.2
-
39
-
-
0043123153
-
Vienna RNA secondary structure server
-
169005, 12824340
-
Hofacker IL. Vienna RNA secondary structure server. Nucleic acids research 2003, 31:3429-31. 169005, 12824340.
-
(2003)
Nucleic acids research
, vol.31
, pp. 3429-3431
-
-
Hofacker, I.L.1
-
40
-
-
23144440350
-
DINAMelt web server for nucleic acid melting prediction
-
1160267, 15980540
-
Markham NR, Zuker M. DINAMelt web server for nucleic acid melting prediction. Nucleic acids research 2005, 33:W577-81. 1160267, 15980540.
-
(2005)
Nucleic acids research
, vol.33
-
-
Markham, N.R.1
Zuker, M.2
-
41
-
-
34047138318
-
Combining SVMs with Various Feature Selection Strategies
-
Springer Berlin / Heidelberg
-
Chen Y, Lin C. Combining SVMs with Various Feature Selection Strategies. Studies in Fuzziness and Soft Computing 2006, 10. Springer Berlin / Heidelberg.
-
(2006)
Studies in Fuzziness and Soft Computing
, pp. 10
-
-
Chen, Y.1
Lin, C.2
-
42
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges C. A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery 1998, 2:121-167.
-
(1998)
Data mining and knowledge discovery
, vol.2
, pp. 121-167
-
-
Burges, C.1
-
43
-
-
41549152081
-
Mammalian microRNA prediction through a support vector machine model of sequence and structure
-
1978525, 17895987
-
Sheng Y, Engström PG, Lenhard B. Mammalian microRNA prediction through a support vector machine model of sequence and structure. PloS one 2007, 2:e946. 1978525, 17895987.
-
(2007)
PloS one
, vol.2
-
-
Sheng, Y.1
Engström, P.G.2
Lenhard, B.3
-
44
-
-
0037382208
-
Evaluation of simple performance measures for tuning SVM hyperparameters
-
Duan K. Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing 2003, 51:41-59.
-
(2003)
Neurocomputing
, vol.51
, pp. 41-59
-
-
Duan, K.1
-
45
-
-
78049383639
-
A practical guide to support vector classification
-
Hsu C, Chang C. A practical guide to support vector classification. Bioinformatics 2003, 1:1-16.
-
(2003)
Bioinformatics
, vol.1
, pp. 1-16
-
-
Hsu, C.1
Chang, C.2
-
46
-
-
27144531570
-
A study of the behavior of several methods for balancing machine learning training data
-
Batista GE, Prati RC, Monard MC. A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explorations Newsletter 2004, 6:20.
-
(2004)
ACM SIGKDD Explorations Newsletter
, vol.6
, pp. 20
-
-
Batista, G.E.1
Prati, R.C.2
Monard, M.C.3
-
48
-
-
0141453538
-
On predicting rare classes with SVM ensembles in scene classification
-
Rong Y, Yan L, Rong Jin AH. On predicting rare classes with SVM ensembles in scene classification. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) 2003, 6-10.
-
(2003)
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)
, pp. 6-10
-
-
Rong, Y.1
Yan, L.2
Rong Jin, A.H.3
|