Input and runtime details for job 3751556 (precomputed example)

Sequence Parameters

	Query ncRNA (short) in FASTA		[.fa]
	Index first query position		1
	Target RNA (long) in FASTA		[.fa]
	Target NCBI RefSeq ID		NC_000913
	All replicons		yes
	Extract sequences around		start codon
	nt upstream (1-300)		75
	nt downstream (1-300)		75
	Index first target position		-75

Output Parameters

	Number of interactions per RNA pair		1
	Suboptimal interaction overlap		can overlap in query
	Max. interaction length		not provided
	Max. absolute energy of an interaction		0
	Max. delta energy above mfe of an interaction		100
	No lonely base pairs		yes
	No GU at helix ends		yes

Seed Parameters

	Min. number of basepairs in seed		7
	Max. Number of mismatches in seed		0
	Maximal energy		0
	Minimal unpaired probability (per RNA)		0
	Seed position (query)		not provided
	Seed position (target)		not provided
	Ignore seeds with GU base pairs		no
	Ignore seeds with GU ends		yes

Folding Parameters

	Temperature for energy computation		37.0
	Access. query: folding window size		150
	Access. query: max. basepair distance		100
	Access. target: folding window size		150
	Access. target: max. basepair distance		100
	Energy parameter set (Vienna package)		Turner model, 2004

Job ID 3751556 (server version trunk)

	Job Submitted & Queued		@ Mon Jan 27 14:09:18 CET 2020
	IntaRNA Started		@ Mon Jan 27 14:12:06 CET 2020
	IntaRNA Finished & Post-Processing		@ Mon Jan 27 14:12:59 CET 2020
	Post-Processing Finished		@ Mon Jan 27 14:14:52 CET 2020
	Job Completed		@ Mon Jan 27 14:15:02 CET 2020

DIRECT ACCESS: http://rna.informatik.uni-freiburg.de/RetrieveResults.jsp?jobID=3751556&toolName=IntaRNA ( 30 days expiry )

Description of the job

CyaR - E. coli

Output [zip]

Downloadable files

	IntaRNA result table:		[csv]
	Target region plot		[png] [pdf]
	Query region plot		[png] [pdf]
	Functional enrichment file		[txt]
	Functional annotation chart		[html] [pdf] [png]

Target region plot

Query region plot

Function

Identified Interactions for NC_000913 Escherichia coli str. K-12 substr. MG1655

Show rows: 1-10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 all

Sort by selecting a column name.

Target	Start(T)	End(T)	Start(seed-T)	End(seed-T)	ED(T)	Query	Start(Q)	End(Q)	Start(seed-Q)	End(seed-Q)	ED(Q)	Energy	E(hybrid)	E_norm	RRI subseqs	RRI details	Seq(T)	Seq(Q)	p-value	fdr	gene	geneID	annotation
b1363	41	55	44	50	4.76	CyaR	29	43	34	40	4.29	-11.43	-20.48	-1.21062	GGUUCCUGGUUUGGC&GCUGUACCAGGAACC	((((((((((...((&))...))))))))))	UAAGAGGAGUUAAAUUUUAUACAGUAUAAUCAUAAUAUUGCAGCAAGGUGGUUAUAAUUGAAAGAAUAUUUAGAUAUGAAUACAUCUCAUGUAAGAGUUGUUACUCAUAUGUGUGGGUUCCUGGUUUGGCUCUAUAGUCUUUCAAUGUUG	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0220007	0.9277422	trkG	945932	Rac prophage potassium transporter subunit
b0412	56	67	61	67	3.66	CyaR	29	39	29	35	4.29	-10.47	-18.42	-1.10894	CCUGUGUGCAGC&GCUGUACCAGG	((((.(((((((&)))))))))))	UGAGAUAAAGGAUCGAUGCUUUCGCUGCUUUUACCCUCUACCAUUAGGCUAAUUGCGACGAGAAAGGGACGACCUAUGAAUACUAACGUUUUUCGACUGCUCCUGCUGGGAAGCCUGUUCAGCCUUAGCGCCUGUGUGCAGCAAAGUGAA	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0376936	0.9277422	yajI	947233	putative lipoprotein
b0675	61	74	68	74	4.01	CyaR	29	42	29	35	4.29	-10.45	-18.75	-1.10682	GUACCGGGUGCAGC&GCUGUACCAGGAAC	((.((.((((((((&)))))))).)).))	UUUGCUCCAGCAUUUGCUGGAAAAUUAAUGUGCUUUUAUAGUGGCGCUUAUUGUUGUCAAUAUUCUGGGUAGUCCAUGACCAUUAAAAAUGUAAUUUGCGAUAUCGACGGCGUGCUGAUGCACGAUAACGUCGCCGUACCGGGUGCAGCG	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0381068	0.9277422	umpH	945283	UMP phosphatase
b3168	49	67	61	67	11.55	CyaR	29	45	29	35	4.3	-11.86	-27.71	-1.25616	GUGGAACGCCUGGUACAGC&GCUGUACCAGGAACCAC	((((....(((((((((((&)))))))))))..))))	GCACUGAUUAUGGCUGCCCGUAAUAUUUGCUGGUUCGGUGACGAAGCGUAAUAAACUGUAGCAGGAAGGAACAGCAUGACAGAUGUAACGAUUAAAACGCUGGCCGCAGAGCGACAGACCUCCGUGGAACGCCUGGUACAGCAAUUUGCU	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0171203	0.9277422	infB	947684	translation initiation factor IF-2
b1739	15	35	29	35	5.32	CyaR	29	49	29	35	4.3	-10.63	-20.25	-1.12589	GGCAGGAAUUCUGAGUGCAGC&GCUGUACCAGGAACCACCUCC	((.(((..(((((.(((((((&))))))))))))....)))))	UUCGUUCACGGGCUUGAAAAAGCGCCCAAUGUAUUCCAGGCUUAUCUAACACGCUGAUAAACAAGAGGACGGAAUAUGAACAAGAAUAUGGCAGGAAUUCUGAGUGCAGCGGCGGUAUUAACCAUGCUGGCGGGUUGUACGGCUUAUGAU	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0345289	0.9277422	osmE	945305	osmotically-inducible lipoprotein
b3770	36	54	36	42	5.82	CyaR	35	52	46	52	4.41	-14.65	-24.88	-1.55167	UGGGGAGAUGGUUCGCUGG&CCAGGAACCACCUCCUUA	(((((((.((((((.((((&)))))))))).)))))))	UCGCACACGUUGCCAUCUGCCAGAGCACAACCACAUCACAACAAAUCCGCGCCUGAGCGCAAAAGGAAUAUAAAAAUGACCACGAAGAAAGCUGAUUACAUUUGGUUCAAUGGGGAGAUGGUUCGCUGGGAAGACGCGAAGGUGCAUGUG	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0028743	0.779419	ilvE	948278	branched-chain amino acid aminotransferase
b2556	40	58	48	54	6.05	CyaR	20	38	24	30	4.48	-15.09	-25.62	-1.59827	CUGGUAAUGCUGGCAUUUU&AAAAUGCUAGCUGUACCAG	((((((..(((((((((((&)))))))))))..))))))	UAAUUCCCGGCUUUGUUGUAUCUGAACUUCCCCUCGGUUAGCAUCAGGCUAUUCGCGUCUGACGAGAGUAACACCUUGAAACGCUGGCCCGUUUUUCCCCGCUCAUUACGACAACUGGUAAUGCUGGCAUUUUUGCUGAUUCUGCUGCCC	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0021103	0.7364947	glrK	947013	sensor protein kinase regulating glmY sRNA in two-component system with response regulator GlrR
b2568	40	60	54	60	7.67	CyaR	16	38	16	22	4.49	-12.94	-25.1	-1.37055	CUGGUGACGGGCAUUUUAUGG&CCAUAAAAUGCUAGCUGUACCAG	(((((.(((((((((((((((&)))))))))))...)))))))))	GUCGAGCUGCCGCAGGAAGCGUUCCUCGCCAUUCUGCACGUCGGCAAAGACAACAAAUAACCCUUAGGAGUUGGCAUGGCGAAUAUGUUUGCCCUGAUUCUGGUGAUUGCCACACUGGUGACGGGCAUUUUAUGGUGCGUGGAUAAAUUC	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0088729	0.9277422	lepB	947040	leader peptidase (signal peptidase I)
b2036	-19	3	-4	3	4.4	CyaR	17	38	17	23	4.49	-10.41	-19.3	-1.10258	CUGGUUUGCUGAGGAUUUUAUG&CAUAAAAUGCUAGCUGUACCAG	(((((..(((.((.((((((((&)))))))).)))))...)))))	CAACAGAGUGCUUAGUUACGUCACUCAUGCUGAUGUUCGUAAGAAAUAAUAAAUUACUGGUUUGCUGAGGAUUUUAUGUACGAUUAUAUCAUUGUUGGUUCUGGUUUGUUUGGUGCCGUUUGUGCGAAUGAGUUAAAAAAGCUAAACAAA	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0389456	0.9277422	glf	945235	UDP-galactopyranose mutase FAD/NAD(P)-binding
b3423	37	59	51	57	6.83	CyaR	9	38	11	17	4.53	-12.11	-23.47	-1.28264	CUGGUUAAACAGCAGGGUUAUGU&ACAUAACCCAUAAAAUGCUAGCUGUACCAG	(((((...(((((.(((((((((&)))))))))...........))))))))))	UAGCCGUGGGUUUAGCGAUGGCUUUUGUUGAUUCGCUCAAUGCGCGAAAACGAAAAUAAUUCCAGGGAUUUAUAAAUGAAACAAACACAACGUCACAACGGUAUUAUCGAACUGGUUAAACAGCAGGGUUAUGUCAGUACCGAAGAGCUG	GCUGAAAAACAUAACCCAUAAAAUGCUAGCUGUACCAGGAACCACCUCCUUAGCCUGUGUAAUCUCCCUUACACGGGCUUAUUU	0.0147559	0.9277422	glpR	947926	pseudogene DNA-binding transcriptional repressorregulator Energy metabolism carbon: Anaerobic respiration repressor of the glp operon

Rows: 1-10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 all

Details of Selected Interaction Download Interaction Details

Target

Query

Energy

Hybridization Energy

Unfolding Energy - Target

Unfolding Energy - Query

Position - Target

Position - Query

Position Seed - Target

Position Seed - Query

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When using IntaRNA please cite :

Martin Mann, Patrick R. Wright, and Rolf Backofen
IntaRNA 2.0: enhanced and customizable prediction of RNA–RNA interactions
Nucleic Acids Research, 2017, 45 (W1), W435–W439.
Patrick R. Wright, Jens Georg, Martin Mann, Dragos A. Sorescu, Andreas S. Richter, Steffen Lott, Robert Kleinkauf, Wolfgang R. Hess, and Rolf Backofen
CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains
Nucleic Acids Research, 2014, 42 (W1), W119-W123.
Anke Busch, Andreas S. Richter, and Rolf Backofen
IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions
Bioinformatics, 2008, 24 (24), 2849-56.
Martin Raden, Syed M Ali, Omer S Alkhnbashi, Anke Busch, Fabrizio Costa, Jason A Davis, Florian Eggenhofer, Rick Gelhausen, Jens Georg, Steffen Heyne, Michael Hiller, Kousik Kundu, Robert Kleinkauf, Steffen C Lott, Mostafa M Mohamed, Alexander Mattheis, Milad Miladi, Andreas S Richter, Sebastian Will, Joachim Wolff, Patrick R Wright, and Rolf Backofen
Freiburg RNA tools: a central online resource for RNA-focused research and teaching
Nucleic Acids Research, 46(W1), W25-W29, 2018.

Results are computed with IntaRNA version 3.1.3 linking Vienna RNA package 2.4.14

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