metadata: run_metadata: 17 rows where experiment.library_selection = "cDNA", experiment.library_source = "METATRANSCRIPTOMIC" and technology = "unknown"

17 rows where experiment.library_selection = "cDNA", experiment.library_source = "METATRANSCRIPTOMIC" and technology = "unknown"

descending

Link	rowid ▼	run.accession	experiment.accession	sample.accession	study.accession	bioproject	study.title	study.alias	study.type	study.abstract	sample.description	sample.title	sample.alias	sample.attributes	experiment.title	experiment.alias	experiment.library_name	experiment.design_description	experiment.library_construction_protocol	experiment.library_strategy	experiment.library_source	experiment.library_selection	experiment.library_layout	experiment.platform	experiment.instrument_model	experiment.spot_descriptor	experiment.study_ref	run.title	run.filename	run.semantic_name	run.total_bases	run.total_spots	run.alias	run.read_lengths	run.base_counts	run.r1_length	run.r2_length	run.Acount	run.Ccount	run.Gcount	run.Tcount	run.Ncount	run.experiment	run.pool_member	submission.accession	submission.srasource	submission.bioprojectsource	seqdetective.n_mates	seqdetective.mapping_rate.mate1	seqdetective.nofeature_rate.mate1	seqdetective.sparsity.mate1	seqdetective.pos_strand_rate.mate1	seqdetective.readlen.mate1	seqdetective.judgement.mate1	seqdetective.judgement.mate2	seqdetective.judgement.reason	platform_family	instrument_generation	read_bias	selection_class	prep_kit	sc_or_bulk	tech_class	technology	submission.bioprojectsource.country	earliest_date	devstage_curation	devstage_curation_coarse	tissue_curation	tissue_curation_coarse
14	14	DRR334977	DRX323973	DRS217313	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 28 degrees rep 3	SAMD00422597	sample name:rRNA mock community 28 degrees rep 3\|biological replicate:3\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:3\|temp:28\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422597	DRX323973	t28 3 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422597			3791170746.0	37701921.0	DRR334977	0:100.56 1:0	A:967477491;C:926887571;G:898697642;T:998107868;N:174	100	0	967477491	926887571	898697642	998107868	174	DRX323973	DRS217313	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.31527	0.06446	0.88844	0.62118	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
15	15	DRR334976	DRX323972	DRS217312	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 28 degrees rep 2	SAMD00422596	sample name:rRNA mock community 28 degrees rep 2\|biological replicate:3\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:2\|temp:28\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422596	DRX323972	t28 2 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422596			2801693695.0	27860658.0	DRR334976	0:100.56 1:0	A:700189496;C:702936549;G:679920984;T:718646067;N:599	100	0	700189496	702936549	679920984	718646067	599	DRX323972	DRS217312	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.43508	0.08819	0.85859	0.69447	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
16	16	DRR334975	DRX323971	DRS217311	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 28 degrees rep 1	SAMD00422595	sample name:rRNA mock community 28 degrees rep 1\|biological replicate:3\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:1\|temp:28\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422595	DRX323971	t28 1 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422595			3148691934.0	31307464.0	DRR334975	0:100.57 1:0	A:785000734;C:791315678;G:766594599;T:805780465;N:458	100	0	785000734	791315678	766594599	805780465	458	DRX323971	DRS217311	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.37139	0.09061	0.94065	0.74047	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
17	17	DRR334974	DRX323970	DRS217310	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 19 degrees rep 3	SAMD00422594	sample name:rRNA mock community 19 degrees rep 3\|biological replicate:2\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:3\|temp:19\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422594	DRX323970	t19 3 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422594			2856186273.0	28400524.0	DRR334974	0:100.57 1:0	A:695685787;C:733754277;G:715270279;T:711475544;N:386	100	0	695685787	733754277	715270279	711475544	386	DRX323970	DRS217310	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.48152	0.10933	0.87105	0.7287	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
18	18	DRR334973	DRX323969	DRS217309	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 19 degrees rep 2	SAMD00422593	sample name:rRNA mock community 19 degrees rep 2\|biological replicate:2\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:2\|temp:19\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422593	DRX323969	t19 2 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422593			3199929804.0	31816971.0	DRR334973	0:100.57 1:0	A:777149590;C:825478743;G:804835148;T:792466124;N:199	100	0	777149590	825478743	804835148	792466124	199	DRX323969	DRS217309	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.4418	0.10282	0.89706	0.74667	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
19	19	DRR334972	DRX323968	DRS217308	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 19 degrees rep 1	SAMD00422592	sample name:rRNA mock community 19 degrees rep 1\|biological replicate:2\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:1\|temp:19\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422592	DRX323968	t19 1 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422592			3658675391.0	36374718.0	DRR334972	0:100.58 1:0	A:879342063;C:954687406;G:929537615;T:895107890;N:417	100	0	879342063	954687406	929537615	895107890	417	DRX323968	DRS217308	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.49439	0.11691	0.88239	0.73925	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
20	20	DRR334971	DRX323967	DRS217307	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 10 degrees rep 3	SAMD00422591	sample name:rRNA mock community 10 degrees rep 3\|biological replicate:1\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:3\|temp:10\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422591	DRX323967	t10 3 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422591			3017524690.0	30006334.0	DRR334971	0:100.56 1:0	A:771967717;C:738814269;G:712866126;T:793876235;N:343	100	0	771967717	738814269	712866126	793876235	343	DRX323967	DRS217307	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.33157	0.07363	0.9093	0.73422	100	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
21	21	DRR334970	DRX323966	DRS217306	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 10 degrees rep 2	SAMD00422590	sample name:rRNA mock community 10 degrees rep 2\|biological replicate:1\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:2\|temp:10\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422590	DRX323966	t10 2 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422590			3115915184.0	30982336.0	DRR334970	0:100.57 1:0	A:765727966;C:794741415;G:771082024;T:784363609;N:170	100	0	765727966	794741415	771082024	784363609	170	DRX323966	DRS217306	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.45458	0.10504	0.89357	0.749	100	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
22	22	DRR334969	DRX323965	DRS217305	DRP008001	PRJDB12578	Allometric scaling of RNA abundance from genes to communities	DRP008001	Other	The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.	totalRNA metatranscriptomic sequences from mock communities consist of five model species	rRNA mock community at 10 degrees rep 1	SAMD00422589	sample name:rRNA mock community 10 degrees rep 1\|biological replicate:1\|collection date:2021 01 15\|dev stage:Adult\|technical replicate:1\|temp:10\|treatment:rRNA	NextSeq 2000 sequencing of SAMD00422589	DRX323965	t10 1 tRNA.fastq	1	NEBNext Kit for Illumina	RNA-Seq	METATRANSCRIPTOMIC	cDNA	SINGLE	ILLUMINA	NextSeq 2000	<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>	DRP008001	NextSeq 2000 sequencing of SAMD00422589			3206657309.0	31883532.0	DRR334969	0:100.57 1:0	A:792874386;C:814578518;G:787469614;T:811734581;N:210	100	0	792874386	814578518	787469614	811734581	210	DRX323965	DRS217305	DRA013226	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	SINICA\|Machida Laboratory Biodiversity Research Center, Academia Sinica	1	0.40156	0.09664	0.92898	0.74114	101	B		usable mapping rate	illumina	nextseq_v2	unknown	random_priming	nebnext	bulk	unknown	unknown	Taiwan	2021-12-23	Adult	Adult	Undetermined	Undetermined
35452	35452	SRR32815440	SRX28098911	SRS24455832	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				T4Danio rerio	strain:T4\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:T4\|BioSampleModel:Model organism or animal	T4	T4	T4	T4		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		T4_1.fq.gz T4_2.fq.gz	fastq fastq	6608651700.0	22028839.0	T4 1.fq.gz	0:150 1:150	A:1815401801;C:1489859310;G:1499379699;T:1804010890;N:0	150	150	1815401801	1489859310	1499379699	1804010890	0	SRX28098911	SRS24455832	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35453	35453	SRR32815441	SRX28098910	SRS24455831	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				T3Danio rerio	strain:T3\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:T3\|BioSampleModel:Model organism or animal	T3	T3	T3	T3		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		T3_1.fq.gz T3_2.fq.gz	fastq fastq	6656167200.0	22187224.0	T3 1.fq.gz	0:150 1:150	A:1840552276;C:1489247530;G:1499297584;T:1827069810;N:0	150	150	1840552276	1489247530	1499297584	1827069810	0	SRX28098910	SRS24455831	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35454	35454	SRR32815442	SRX28098909	SRS24455830	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				T2Danio rerio	strain:T2\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:T2\|BioSampleModel:Model organism or animal	T2	T2	T2	T2		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		T2_1.fq.gz T2_2.fq.gz	fastq fastq	6622204800.0	22074016.0	T2 1.fq.gz	0:150 1:150	A:1834396150;C:1480094606;G:1490046882;T:1817667162;N:0	150	150	1834396150	1480094606	1490046882	1817667162	0	SRX28098909	SRS24455830	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35455	35455	SRR32815443	SRX28098908	SRS24455829	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				T1Danio rerio	strain:T1\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:T1\|BioSampleModel:Model organism or animal	T1	T1	T1	T1		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		T1_1.fq.gz T1_2.fq.gz	fastq fastq	6626122500.0	22087075.0	T1 1.fq.gz	0:150 1:150	A:1833541012;C:1481665295;G:1491851279;T:1819064914;N:0	150	150	1833541012	1481665295	1491851279	1819064914	0	SRX28098908	SRS24455829	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35456	35456	SRR32815444	SRX28098907	SRS24455828	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				Q4Danio rerio	strain:Q4\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:Q4\|BioSampleModel:Model organism or animal	Q4	Q4	Q4	Q4		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		Q4_1.fq.gz Q4_2.fq.gz	fastq fastq	6646083600.0	22153612.0	Q4 1.fq.gz	0:150 1:150	A:1823086981;C:1499930776;G:1510718905;T:1812346938;N:0	150	150	1823086981	1499930776	1510718905	1812346938	0	SRX28098907	SRS24455828	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35457	35457	SRR32815445	SRX28098906	SRS24455827	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				Q3Danio rerio	strain:Q3\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:Q3\|BioSampleModel:Model organism or animal	Q3	Q3	Q3	Q3		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		Q3_1.fq.gz Q3_2.fq.gz	fastq fastq	6683275200.0	22277584.0	Q3 1.fq.gz	0:150 1:150	A:1838068171;C:1503920885;G:1514577234;T:1826708910;N:0	150	150	1838068171	1503920885	1514577234	1826708910	0	SRX28098906	SRS24455827	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35458	35458	SRR32815446	SRX28098905	SRS24455826	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				Q2Danio rerio	strain:Q2\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:Q2\|BioSampleModel:Model organism or animal	Q2	Q2	Q2	Q2		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		Q2_1.fq.gz Q2_2.fq.gz	fastq fastq	6612253800.0	22040846.0	Q2 1.fq.gz	0:150 1:150	A:1821750297;C:1484945478;G:1495582042;T:1809975983;N:0	150	150	1821750297	1484945478	1495582042	1809975983	0	SRX28098905	SRS24455826	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined
35459	35459	SRR32815447	SRX28098904	SRS24455825	SRP572346	PRJNA1240620	The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes	PRJNA1240620	Other				Q1Danio rerio	strain:Q1\|age:96hpf\|collection date:2023 12 20\|geo loc name:China: Xiangyang\|sex:missing\|tissue:Tissue of juvenile fish\|replicate:Q1\|BioSampleModel:Model organism or animal	Q1	Q1	Q1	Q1		RNA-Seq	METATRANSCRIPTOMIC	cDNA	PAIRED	DNBSEQ	DNBSEQ-T7		SRP572346		Q1_1.fq.gz Q1_2.fq.gz	fastq fastq	6725919900.0	22419733.0	Q1 1.fq.gz	0:150 1:150	A:1845653740;C:1518697545;G:1530630124;T:1830938491;N:0	150	150	1845653740	1518697545	1530630124	1830938491	0	SRX28098904	SRS24455825	SRA2098321	Wuhan University of Science and Technology\|School of Medicine	Wuhan University of Science and Technology							B	B	biological fallback assumption	bgi	bgi	unknown	cdna_unspecified	unknown	bulk	unknown	unknown	China	2025-03-22	Larval	Larval	Undetermined	Undetermined

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CREATE TABLE run_metadata("run.accession" VARCHAR, "experiment.accession" VARCHAR, "sample.accession" VARCHAR, "study.accession" VARCHAR, bioproject VARCHAR, "study.title" VARCHAR, "study.alias" VARCHAR, "study.type" VARCHAR, "study.abstract" VARCHAR, "study.attributes" VARCHAR, "study.PMIDs" VARCHAR, "sample.description" VARCHAR, "sample.title" VARCHAR, "sample.alias" VARCHAR, "sample.centername" VARCHAR, "sample.attributes" VARCHAR, "GEOsample.title" VARCHAR, "GEOsample.dataprocessing" VARCHAR, "GEOsample.source" VARCHAR, "GEOsample.treatmentprotocol" VARCHAR, "GEOsample.extractprotocol" VARCHAR, "GEOsample.growthprotocol" VARCHAR, "GEOsample.characteristics" VARCHAR, "GEOsample.accession" VARCHAR, "experiment.title" VARCHAR, "experiment.alias" VARCHAR, "experiment.library_name" VARCHAR, "experiment.design_description" VARCHAR, "experiment.library_construction_protocol" VARCHAR, "experiment.attributes" VARCHAR, "experiment.library_strategy" VARCHAR, "experiment.library_source" VARCHAR, "experiment.library_selection" VARCHAR, "experiment.library_layout" VARCHAR, "experiment.platform" VARCHAR, "experiment.instrument_model" VARCHAR, "experiment.spot_descriptor" VARCHAR, "experiment.study_ref" VARCHAR, "run.title" VARCHAR, "run.attributes" VARCHAR, "run.filename" VARCHAR, "run.semantic_name" VARCHAR, "run.total_bases" DOUBLE, "run.total_spots" DOUBLE, "run.alias" VARCHAR, "run.read_lengths" VARCHAR, "run.base_counts" VARCHAR, "run.r1_length" BIGINT, "run.r2_length" BIGINT, "run.r3_length" BIGINT, "run.r4_length" BIGINT, "run.Acount" BIGINT, "run.Ccount" BIGINT, "run.Gcount" BIGINT, "run.Tcount" BIGINT, "run.Ncount" BIGINT, "run.experiment" VARCHAR, "run.pool_member" VARCHAR, "submission.accession" VARCHAR, "submission.srasource" VARCHAR, "submission.bioprojectsource" VARCHAR, "seqdetective.n_mates" BIGINT, "seqdetective.mapping_rate.mate1" DOUBLE, "seqdetective.mapping_rate.mate2" DOUBLE, "seqdetective.nofeature_rate.mate1" DOUBLE, "seqdetective.nofeature_rate.mate2" DOUBLE, "seqdetective.sparsity.mate1" DOUBLE, "seqdetective.sparsity.mate2" DOUBLE, "seqdetective.pos_strand_rate.mate1" DOUBLE, "seqdetective.pos_strand_rate.mate2" DOUBLE, "seqdetective.readlen.mate1" BIGINT, "seqdetective.readlen.mate2" BIGINT, "seqdetective.judgement.mate1" VARCHAR, "seqdetective.judgement.mate2" VARCHAR, "seqdetective.judgement.reason" VARCHAR, platform_family VARCHAR, instrument_generation VARCHAR, read_bias VARCHAR, selection_class VARCHAR, prep_kit VARCHAR, sc_or_bulk VARCHAR, tech_class VARCHAR, technology VARCHAR, tech_variant VARCHAR, "submission.bioprojectsource.country" VARCHAR, earliest_date DATE, devstage_curation VARCHAR, devstage_curation_coarse VARCHAR, tissue_curation VARCHAR, tissue_curation_coarse VARCHAR);;
CREATE INDEX idx_run_bioproject ON run_metadata(bioproject);;
CREATE INDEX idx_run_run_accession ON run_metadata("run.accession");;