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	gene	geneID	annotation
lmo2615	-18	25	19	25	6.27	LhrA2	155	202	155	161	7.03	-17.05	-30.35	-1.60768	GAAGGAGGGACAUAUUACAUGCCUGAGCAAAUUGAUGGAAACA&UGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUC	((..(((((((((((((((((((((((.....(((((((((((&)))))))).))).))))..)).))))))))..)))))....)))).))	GGCCGCGUGAAAGCUCUUGCUGAAGCAGCUCGCGAAAAUGGACUAGAAUUUUAAUAAGAAGGAGGGACAUAUUACAUGCCUGAGCAAAUUGAUGGAAACAAAUUAGAUUUAGAAGAACGCGUUGUUACAAUCAACCGUGUUGCUAAAGUA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0049203	0.863511	rpsE	987198	30S ribosomal protein S5
lmo2613	-16	13	7	13	10.18	LhrA2	177	203	177	183	6.32	-13.6	-30.1	-1.28237	GGAGGAGGUGCUUGACAUGAAACUACAUG&CGUGUAGUUCAUGUCUAUGCCUCAUCC	(((.((((.....((((((((.(((((((&)))))))))))))))....)))).)))	UGGACGUCAAAGAAGUUUAAGCUUAAAAUUAUUAUGCAAUUGAUAGAAUUUGUUAAAUAGGAGGAGGUGCUUGACAUGAAACUACAUGAACUUAAGCCUUCAGAAGGUUCUCGUAAAGAACGUAAUCGUGUUGGUCGUGGAACAGGCUCU	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0316321	0.9493467	rplO	987200	50S ribosomal protein L15
lmo0233	38	73	63	69	6.72	LhrA2	157	198	161	167	6.87	-16.51	-30.1	-1.55676	AGGCAUGUGGAUAUGAAUCGGCAAAAUGGAUGGGAA&UUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCU	(((((..((((((((((.((((...(((((((((((&))))))))))).......)))).....)))))))))))))))	CGAAUUUGAUGAAAAGGGUUAACGCGAACAGAUGAUCUGUGGUAAAAUGGAGCAUAUGUAUGGAGGGAUGUAUAAAUGGCUAAAGCAAAAAGGACAACCAAAUUUGUGUGUCAGGCAUGUGGAUAUGAAUCGGCAAAAUGGAUGGGAAAA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0066934	0.863511		987204	DNA repair protein RadA
lmo2596	-36	-21	-32	-26	4.65	LhrA2	171	186	176	182	2.66	-13.45	-20.76	-1.26823	GAAUUACGCGGUUAAU&AUUGGCCGUGUAGUUC	((((((((((((((((&))))))))))))))))	UCUGAGCACGAACACGCAGCUCAACAACCAGAAGUAUACGAAUUACGCGGUUAAUUAAUAAAGGAGGAAUACUAAGUGGCUCAAGUACAAUAUUACGGAACUGGUCGUCGUAAAAGCUCUGUAGCUCGCGUACGUUUAGUACCAGGCGAC	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0341071	0.9493467	rpsI	987216	30S ribosomal protein S9
lmo2486	-27	32	26	32	2.54	LhrA2	159	195	159	165	6.6	-15.82	-24.96	-1.4917	CAUAGAUAUAAGAAAGGAAGAGCUAACAUGGAAAAAAAAUUAAGAAGAUCAAGAGUGGA&UUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUG	(((((((((..........((((((.(((((..........((..((((...(((((((&)))))))))))..))..))))))))))))))))))))	UAAAAUAAUUAAACGAAAUCUAGCGCCGUGCAAGCGCGCUAGAUUUUACAUAGAUAUAAGAAAGGAAGAGCUAACAUGGAAAAAAAAUUAAGAAGAUCAAGAGUGGACCGGAAAGUCGGCGGUGUGUUUGGUGGACUAGCUGAGUUUCUA	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0098281	0.863511		987324	lmo2486
lmo2446	-22	16	-3	4	6.66	LhrA2	154	187	164	170	3.16	-17.3	-27.12	-1.63125	UGAAUUAAGGGAGGAAAGUGAGAUGAAGCGAAGAACGA&UUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCA	(((((((.....((..(((((((((((....(((((((&)))))))..)))))))))))..))...)))))))	UAAUAAUUUUGCAAAAUAACACAUCGAAAGUAGUAUAUUUUUAGUAAAAAAGGUGAAUUAAGGGAGGAAAGUGAGAUGAAGCGAAGAACGAGAAAAUGCAGUUUGGUUUUUAUUCUGGGGAUAUUAAUUUUUAGUUGUUUAAGUGGAUUU	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0042577	0.863511		987393	glycosidase
lmo2445	-67	-36	-44	-38	1.3	LhrA2	157	177	159	165	1.89	-14.24	-17.43	-1.34272	GGCUAUAUUGAAAGGAGUGGAAUGAAUGAAAA&UUUUCAUUCAUCUCAUUGGCC	(((((.........(((....(((((((((((&))))))))))))))..)))))	GAAAGGGUGGCUAUAUUGAAAGGAGUGGAAUGAAUGAAAAAAAUAAUUGGACUGACGUUUGUUGCUAUUUGUUGAAUUUUAUUUGCACCAACAAUCAAAGCACAAGCAGAUACAGUUCCGUUACCAGCGCCUAUUAUAGAGGCUUUCCCG	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0228179	0.9474659		987394	internalin
lmo0292	3	49	39	45	1.83	LhrA2	155	203	159	165	7.05	-14.32	-23.2	-1.35026	GGACGAGAAAGAAAAGAAUUUAAAUGAAAACAGCGAGAAUGAAAGCA&UGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCC	(((.(((..(((...(((((...(((........(((((((((((((&))))))))))).))........)))..)))))...)))....))).)))	UUUUCAUCGUUUUUUCAUAUUUGGGGUUUAUUAUGGAAGUAUAUAAAUGCGAAAUUUGCAGAGAGGAAGGAAGACAUGGACGAGAAAGAAAAGAAUUUAAAUGAAAACAGCGAGAAUGAAAGCACGCCGAAAAGAGAGGUCGAGGAUACU	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0218921	0.9474659		987455	heat-shock protein htrA serine protease
lmo0302	-15	26	14	20	4.67	LhrA2	167	204	176	182	6.87	-14.58	-26.12	-1.37478	GGAGAUGAAUAGAUGAUGAAAAAAACAGUACACGGAUGGGA&UCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCC	((.((((((((((..(((((........(((((((((((((&))))))...))))))).))))).)))))...)))))))	UUGGUUUGGAAUUUAAAGGUUACUAGGAUAUGAUGAUAGUUAGAGAGAAAAUAUUACAUAGGAGAUGAAUAGAUGAUGAAAAAAACAGUACACGGAUGGGAAAUAAUAUCUAGUUUAGACGUACGAGUAUACCAAGAUGAAGCUGGCGGG	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.0191177	0.9128702		987513	lmo0302
lmo0383	24	64	58	64	7.65	LhrA2	151	186	151	157	4.14	-18.44	-30.23	-1.73875	GAAUUAUAUUGACGGCGAAUGGGUCGAGAGUAAGACAGAUA&UAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUC	((((((((....((((.((((((....((((((((((((((&)))))))))).))))..)))))).))))))))))))	UUUUAUUGGCUUAAUAUGGGGGUAUAAAUCGAUUGAUGGUUAACUUAUGAGUAAUUUUAAGUGGAGGGAUUAUUUAUGGCAGAUGUACGGAAAUUAAAGAAUUAUAUUGACGGCGAAUGGGUCGAGAGUAAGACAGAUAAAUAUGAAGAU	AGGAUAGAGUUUUACCUCGAUGAAAGUUUCAUUUUUACUAAUGUGAUUUUCAUGGGGAUAAGACCCUAUCAUGGUUAUAAUGACUUUUGGUGUAUCCAUCUUCCAAUAGAAUGGCAACUAGUCAGACAUCUGUUUAGACACCAAAAUCAUUAUUUGUUUUCAUUCAUCUCAUUGGCCGUGUAGUUCAUGUCUAUGCCUCAUCCCGUUAUGCAUAGGCGCCCGAACAUGAUGGCAACGCUGGAAAUGUUUAUUUCGAGCGUCUUUUUUUG	0.002162	0.863511		987639	methylmalonate-semialdehyde dehydrogenase

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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