Input and runtime details for job 4627738 (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_003210
	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 4627738 (server version trunk)

	Job Submitted & Queued		@ Mon Jan 27 14:20:43 CET 2020
	IntaRNA Started		@ Mon Jan 27 14:22:37 CET 2020
	IntaRNA Finished & Post-Processing		@ Mon Jan 27 14:24:00 CET 2020
	Post-Processing Finished		@ Mon Jan 27 14:24:55 CET 2020
	Job Completed		@ Mon Jan 27 14:25:04 CET 2020

DIRECT ACCESS: http://rna.informatik.uni-freiburg.de/RetrieveResults.jsp?jobID=4627738&toolName=IntaRNA ( 30 days expiry )

Description of the job

LhrA2 - Listeria monocytogenes

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_003210 Listeria monocytogenes EGD-e

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	geneID	annotation
lmo0835	-20	29	-7	-1	6.44	LhrA2	146	186	173	179	7.37	-18.17	-31.98	-1.71329	GAACUUUGGAGGAAUGGUCAGUGAGUAAAAAUGUAAAAAAAAUAGUGAU&AUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUC	(((((........((((((((((((....((((.((((.((((((((((&)))))))))).))))))))...))))))))))))..)))))	UUGUAUCGCAUGUGCUUUUACCAGAUGAAUUAAAUGUACGUUGCAAAAUGUAUGAGAACUUUGGAGGAAUGGUCAGUGAGUAAAAAUGUAAAAAAAAUAGUGAUAACUCUCUUUGCAUUAAUAAUGACAGUAGGAUUAGCAAGUGGGUUC	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0025454	0.863511	985352	peptidoglycan binding protein
lmo0850	-49	-18	-35	-29	3.09	LhrA2	148	170	159	165	1.67	-14.84	-19.6	-1.39929	GAGAAAAAUAAAAAGAAUGAAAACAAAUUUUG&CAUUAUUUGUUUUCAUUCAUCUC	((((..........((((((((((((((..((&))..)))))))))))))).))))	AGAGAAUAUGUUAAAGUAAGGAAAGAGAGAAAAAUAAAAAGAAUGAAAACAAAUUUUGAAGAUGGAGUGAUGAGAUUGGAUAAUAAUCAAAAAGACUUAAAUCAAGUAAUCCGUCAGCUCAAAGAAAAAGGAAUUGUCGUUGAAAAAACA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0166718	0.9082262	985319
lmo0851	-12	20	-12	-6	4.34	LhrA2	172	200	194	200	6.62	-17.88	-28.84	-1.68594	UGAGGCAUAUACAUGAAAAAAGAAGCGGUUAA&UUGGCCGUGUAGUUCAUGUCUAUGCCUCA	(((((((((.(((((((........(((((((&))))))).....))))))).)))))))))	UUACGCAAAAAUGUUGUAUGAUGGAGUGGAAGGCUUUUGUCAUAGAAGAAAAUAGAAAUAGAGUGAGGCAUAUACAUGAAAAAAGAAGCGGUUAACCAACAAUCUAUUUAUGUGCAUAUUGAUCAUGUUAUUAAUAAUGUGGCGACAAGC	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0030274	0.863511	985315	lmo0851
lmo0888	-1	37	28	34	15.9	LhrA2	174	211	176	182	7.72	-13.9	-37.52	-1.31066	GCUGAUGGUGAAGCGUGGUGACGUAUACUACGCGGACC&GGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGC	(((((((((((.((((((..((((..(((((((((.((&)))))))))))..)))))))))).)))..)))))).))	GCUAUCGCAUGCGAGUGUACCCAUGUCGAAGCAGAAGCAGAAGACAGGAAUAUUAGUAUUUUAGGAGGUUAAUGGCUGAUGGUGAAGCGUGGUGACGUAUACUACGCGGACCUUUCCCCCGUGGUCGGAAGCGAGCAAGGGGGAAUACGG	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.02717	0.9474659	986538
lmo0922	-24	14	2	8	5.44	LhrA2	154	188	160	166	3.48	-14.95	-23.87	-1.40967	AUGAAUUAAAGGAUGGAACAUUGAAUGAAUGAUUACAA&UUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAU	((((((((....((((..((.(((((((((((..((((&))))..)))))))).))).)).)))).))))))))	GAUUUAUGCAGCUUGCGUUAUCCUUAAAUAAAGCUGUUUACGUUUUCACGAAUGAAUUAAAGGAUGGAACAUUGAAUGAAUGAUUACAACCACUACUUUCAUUUCCCACGAGAAGAAUGGCGCAAGCUGGAAGUGAGUAAGGACCAAAUU	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0157271	0.9011628	986345	pantothenate kinase
lmo0926	56	74	63	69	1.72	LhrA2	155	175	159	165	1.62	-15.07	-18.41	-1.42098	CCAAGAUGAGUGAAAAGCA&UGUUUUCAUUCAUCUCAUUGG	((((((((((((((((.((&)))))))))))))))...)))	UCGUAUUUGUUAUAUUAAAUAUUUUUGCUUUGAAAAAAUACCGCAAAGUUUAAAUGAAACAGGAGGAGAUAAGACGUGGAUGCAGAAGGAGAUAUUAUCCGUCAAAUGCUUGAUUUAACGGAAAAAGAAACCAAGAUGAGUGAAAAGCAG	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0147533	0.9011628	984510	TetR family transcriptional regulator
lmo1018	51	72	51	57	0.58	LhrA2	158	181	175	181	2.23	-13.69	-16.5	-1.29086	AUAUGGCGCAAAUAGAAUGGAA&UUUCAUUCAUCUCAUUGGCCGUGU	(((((((.(((...((((((((&))))))))......))))))))))	UGGAUUUUUUUGUAUUCAAGCACGCCUUAAAAGGGUAAAAUGAAGGUAAUUAGUUAUUAAAAGGAGCGGAAUAAUAUGUUAGAAGUGAUAGUUCAAAAUCCAAGAGACGCUUACUUAGCGGAAAAAUAUGGCGCAAAUAGAAUGGAAGUA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0302275	0.9493467	986357	copper homeostasis protein CutC
lmo1109	-23	11	5	11	4.04	LhrA2	141	172	141	147	2.36	-13.88	-20.28	-1.30877	AUGAGUGAAAGGAGAAACAACACAUGAAUUUUGG&CCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAU	(((((((((..(((((.(((...(((.(((((((&))))))))))...)))))))).)))).)))))	CUCUCAACUGAUAGAACGUGUUGAGAGGUAUUUUAUUAACCGCAAGAAAUACAUGAGUGAAAGGAGAAACAACACAUGAAUUUUGGACAAAACUUAUACAACUGGUUUUUGAGUAACGCACAAUCCCUUGUCUUACUGGCAAUCGUAGUC	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0274484	0.9474659	986220
lmo1147	-65	10	2	8	18.88	LhrA2	158	211	160	166	7.91	-18.08	-44.87	-1.7048	GCAUUUGAGCGGGAAUUUUUAGGGGCUAAACGUAUCGGAUUGUUACGCGGAAAUGAGGAAUGGACAUGAGUGAAA&UUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGC	((((...(((((((.......(((((((.((((...(((((...((((((.((((((........((((((((((&))))))))))))))))..))))))))))))))).)).))))).)))))))))))	UAAUGUAACCGCAUUUGAGCGGGAAUUUUUAGGGGCUAAACGUAUCGGAUUGUUACGCGGAAAUGAGGAAUGGACAUGAGUGAAAUGAUGCUUGUAACUGGCGGGGCAAGGAGCGGUAAGAGUAGCUUUGCUGAGAGAGAAGCGGCCAAA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0026867	0.863511	986161	cobalamin biosynthesis protein CopB
lmo1161	-12	36	19	25	8.89	LhrA2	158	204	170	176	7.06	-16.94	-32.89	-1.59731	GGAGGUGGAAAAAUGGAUAUUUUACAAACAGCCAAUGAACGAAUGGAA&UUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCC	((.((((.....((((((((.......((.((((((((..((((((((&))))))))...)))))))).)).......))))))))....))))))	AGCGAACGCGGCAGAUAUUGCUGGCACGAAUUUUGCAAAAAUAAUCAAGUCGUGAUCUGGUAAGGAGGUGGAAAAAUGGAUAUUUUACAAACAGCCAAUGAACGAAUGGAACAGCUUGCAGCGCUAAUGAAUAAAGAUAUCGAACAAAAA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0052414	0.863511	986144	ethanolamine utilization protein EutJ

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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