Quality check for SRP265240 Verdanta pipeline version 0.0.1. Run 2025-12-20 21:28.

Read coverage along transcripts

Coverage along normalized transcript length (0-100%). Forward, reverse, and sum traces are shown per sample x transcriptome; use this to spot 5' or 3' bias from degradation, poly(A) selection, or fragmentation choices. Sources: RSeQC, Wang2012

2025-12-20T21:28:31.099180 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Expression distributions (TPM)

Per-transcriptome across samples; TPM on a log scale with box/density summaries. Highlights global shifts, dispersion, and outliers in quantification. Sources: Salmon docs, Patro2017

2025-12-20T21:28:25.279495 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Sample expression densities

Within each transcriptome, per-sample TPM density curves on a log scale. X - log TPM, Y - density. Transcripts with no reads are counted separately. Look for global shifts, bimodality (batch effects), or heavy tails from low-count inflation. Sources: Salmon docs, Patro2017

2025-12-20T21:28:29.852051 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Read mapping summary

Per sample x transcriptome table of alignment outcomes: unique %, multi-mapped %, and unaligned (if available). Cross-check with the multiplicity and mapped-count plots. Sources: MultiQC, Salmon docs

CM334_v1SRR11873595SRR11873605SRR11873609SRR11873601SRR11873600SRR11873606SRR11873603SRR11873594SRR11873607SRR11873610SRR11873604SRR11873596SRR11873611SRR11873599SRR11873597SRR11873608SRR11873598SRR11873602DempseySRR11873595SRR11873601SRR11873609SRR11873605SRR11873600SRR11873611SRR11873594SRR11873603SRR11873606SRR11873596SRR11873597SRR11873610SRR11873607SRR11873608SRR11873604SRR11873599SRR11873598SRR11873602ZhangshugangSRR11873595SRR11873601SRR11873605SRR11873609SRR11873600SRR11873606SRR11873594SRR11873611SRR11873610SRR11873603SRR11873607SRR11873597SRR11873596SRR11873604SRR11873608SRR11873599SRR11873602SRR11873598Zunla-1_v3SRR11873595SRR11873605SRR11873609SRR11873601SRR11873600SRR11873606SRR11873603SRR11873607SRR11873594SRR11873604SRR11873596SRR11873597SRR11873610SRR11873611SRR11873599SRR11873608SRR11873598SRR11873602SampleSRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240SRP265240Study020'652'80521'134'73220'709'80221'237'82722'497'95422'768'35023'043'28023'206'79023'386'93723'298'23123'177'09423'480'73523'789'28122'987'30023'762'13325'349'45325'402'899020'709'80221'134'73220'652'80521'237'82723'480'73523'043'28022'768'35022'497'95423'177'09422'987'30023'386'93723'206'79023'762'13323'298'23123'789'28125'349'45325'402'899020'709'80220'652'80521'134'73221'237'82722'497'95423'043'28023'480'73523'386'93722'768'35023'206'79022'987'30023'177'09423'298'23123'762'13323'789'28125'402'89925'349'453020'652'80521'134'73220'709'80221'237'82722'497'95422'768'35023'206'79023'043'28023'298'23123'177'09422'987'30023'386'93723'480'73523'789'28123'762'13325'349'45325'402'899Total09'274'4659'344'7689'536'7859'712'25610'053'73110'063'79310'144'97010'168'16610'370'29510'378'53710'433'54710'435'67910'484'26510'525'57110'539'10611'525'41111'661'22109'891'8529'922'27210'001'79710'438'39610'767'49310'808'41210'823'70410'857'11410'858'71510'895'97610'905'75010'929'02711'178'59611'200'07111'451'65712'422'23512'541'670014'749'10514'843'02815'070'41915'501'03616'128'26316'227'82816'349'09416'364'85816'372'46516'438'11516'482'16916'605'00616'726'85716'890'98417'065'04818'564'06418'587'641016'537'82416'951'45217'084'51317'176'13717'910'80218'310'00518'394'31118'464'97618'683'30818'830'42018'856'54518'868'73418'958'03719'024'82519'102'06520'692'62720'767'236Mapped011'378'34011'789'96411'173'01711'525'57112'444'22312'704'55712'898'31013'038'62413'016'64212'919'69412'743'54713'045'05613'305'01612'461'72913'223'02713'824'04213'741'678010'817'95011'212'46010'651'00810'799'43112'713'24212'234'86811'944'64611'640'84012'318'37912'091'32412'481'18712'277'76312'583'53712'098'16012'337'62412'927'21812'861'22905'960'6975'809'7776'064'3135'736'7916'369'6916'815'4527'131'6417'022'0796'395'8856'768'6756'505'1316'572'0886'571'3746'871'1496'724'2336'838'8356'761'81204'114'9814'183'2803'625'2894'061'6904'587'1524'458'3454'812'4794'578'3044'614'9234'346'6744'130'7554'518'2034'522'6984'764'4564'660'0684'656'8264'635'663Unmapped0.00%55.09%55.78%53.95%54.27%55.31%55.80%55.97%56.18%55.66%55.45%54.98%55.56%55.93%54.21%55.65%54.53%54.09%0.00%52.24%53.05%51.57%50.85%54.14%53.10%52.46%51.74%53.15%52.60%53.37%52.91%52.96%51.93%51.86%51.00%50.63%0.00%28.78%28.13%28.69%27.01%28.31%29.58%30.37%30.03%28.09%29.17%28.30%28.36%28.21%28.92%28.27%26.92%26.67%0.00%19.92%19.79%17.51%19.12%20.39%19.58%20.74%19.87%19.81%18.75%17.97%19.32%19.26%20.03%19.61%18.37%18.25%% Unmap.09'032'1159'189'8569'177'0759'300'0559'825'3249'827'95810'007'9799'936'93810'054'7849'982'85910'119'35110'178'54110'103'94510'245'80210'380'34911'153'78611'248'91409'345'1989'592'6689'646'4799'896'05010'307'97910'485'34310'443'86910'512'88010'336'54410'412'28110'412'57710'606'00410'878'13710'689'71010'950'90911'924'09412'008'538014'142'51714'383'12314'752'64114'774'22515'691'81415'906'64215'891'29515'800'07415'936'57016'024'96915'972'17116'039'93616'059'66516'567'35216'400'20617'878'51217'920'94308'411'8768'051'1207'524'8609'027'3099'408'0059'175'8959'696'4439'129'3019'833'1358'999'7168'637'5168'679'6608'623'91410'413'6789'361'77310'924'64910'413'565Mappedonce0.00%43.73%43.48%44.31%43.79%43.67%43.16%43.43%42.82%42.99%42.85%43.66%43.35%42.47%44.57%43.68%44.00%44.28%0.00%45.12%45.39%46.71%46.60%43.90%45.50%45.87%46.73%44.60%45.30%44.52%45.70%45.78%45.88%46.03%47.04%47.27%0.00%68.29%69.64%69.80%69.57%69.75%69.03%67.68%67.56%69.99%69.05%69.48%69.21%68.93%69.72%68.94%70.38%70.70%0.00%40.73%38.09%36.33%42.51%41.82%40.30%41.78%39.62%42.21%38.83%37.58%37.11%36.73%43.77%39.40%43.10%40.99%% Once071'95347'67348'836138'203110'38662'46444'375134'81157'277121'10276'04359'923170'20165'03270'314136'637108'7610168'889174'897118'542180'580197'767180'379153'940153'443224'274209'776166'277173'473165'808171'995223'175196'716163'9560133'351171'618135'425236'266222'151158'690146'021148'803152'077244'207173'459189'458230'867169'211274'402203'966242'10903'326'7113'471'6603'242'7263'465'4413'643'9343'645'8003'730'8053'762'3133'659'9693'637'9763'662'2813'676'2113'582'3603'672'6593'955'1374'088'7534'124'311Mappedtwice0.00%0.35%0.23%0.24%0.65%0.49%0.27%0.19%0.58%0.24%0.52%0.33%0.26%0.72%0.28%0.30%0.54%0.43%0.00%0.82%0.83%0.57%0.85%0.84%0.78%0.68%0.68%0.97%0.91%0.71%0.75%0.70%0.74%0.94%0.78%0.65%0.00%0.64%0.83%0.64%1.11%0.99%0.69%0.62%0.64%0.67%1.05%0.75%0.82%0.99%0.71%1.15%0.80%0.96%0.00%16.11%16.43%15.66%16.32%16.20%16.01%16.08%16.33%15.71%15.70%15.93%15.72%15.26%15.44%16.64%16.13%16.24%% Twice03'7162'4973'4207'2355'9773'2352'4058'2933'6208'4313'2385'05810'2103'5473'7498'3675'996046'62841'42751'83266'25954'90445'13439'05965'41146'19047'05249'60953'79943'12943'60649'09449'35942'471018'66232'67422'20883'95141'57624'51824'04229'34523'58033'99521'28423'89930'02925'14777'96831'38879'37804'375'0754'960'8755'416'3694'088'6944'515'3674'949'7954'652'7985'152'7664'556'8915'484'4095'847'0015'692'3096'025'2944'407'8455'310'6235'083'1735'447'673Mapped>2 times0.00%0.02%0.01%0.02%0.03%0.03%0.01%0.01%0.04%0.02%0.04%0.01%0.02%0.04%0.02%0.02%0.03%0.02%0.00%0.23%0.20%0.25%0.31%0.23%0.20%0.17%0.29%0.20%0.20%0.21%0.23%0.18%0.19%0.21%0.19%0.17%0.00%0.09%0.16%0.11%0.40%0.18%0.11%0.10%0.13%0.10%0.15%0.09%0.10%0.13%0.11%0.33%0.12%0.31%0.00%21.18%23.47%26.15%19.25%20.07%21.74%20.05%22.36%19.56%23.66%25.44%24.34%25.66%18.53%22.35%20.05%21.45%% >2times0.0%37.8%42.4%43.1%36.4%35.9%40.0%41.5%37.2%40.3%37.2%41.5%42.8%34.5%42.8%40.2%38.2%38.3%0.0%51.4%50.8%47.3%46.2%51.2%50.4%49.1%45.7%50.4%51.3%49.4%46.9%49.2%46.7%44.5%47.6%47.6%0.0%41.6%37.0%41.1%35.6%35.2%40.3%41.3%39.2%38.8%36.3%41.5%40.0%36.3%39.1%33.1%37.5%37.2%0.0%37.0%40.8%41.2%35.4%35.4%38.6%36.2%39.8%36.3%40.0%41.1%38.9%40.8%33.7%38.7%36.8%37.3%No reads %(transcripts)

Mapped reads (counts)

Total mapped read counts per sample by transcriptome. Use to verify depth uniformity and to spot lane/sample dropouts. Sources: Salmon docs

2025-12-20T21:28:29.518642 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Sample-to-sample correlation heatmaps.

Sample-to-sample correlation heatmaps. Each tile displays the Pearson correlation between samples, calculated from gene-level TPM values after applying log(1+x). Undefined pairs are shown as hatched cells. Sources: Salmon docs, Salmon paper

2025-12-20T21:28:42.962823 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Adapter content (%)

Estimated adapter sequence content by read position. Rising 3' signal indicates incomplete trimming; strong early-cycle signal can imply short inserts. Sources: FastQC

2025-12-20T21:28:27.252086 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Duplication levels

Distribution of duplication counts vs % reads. High duplication implies low library complexity or over-amplification; interpret in light of depth and any UMI handling. Sources: FastQC

2025-12-20T21:28:27.730900 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Read length distribution

Distribution of read lengths per sample. A single sharp peak at the expected read length indicates uniform reads; broader or truncated modes suggest trimming or differing run settings (e.g., 2x100 vs 2x150). Sources: FastQC

2025-12-20T21:28:25.878047 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Per-base N content (%)

Fraction of 'N' calls at each read position. End-biased N indicates low signal at read termini; pervasive N suggests run chemistry or filtering issues. Sources: FastQC

2025-12-20T21:28:25.752386 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Per-base nucleotide composition

A/C/G/T proportion by read position. Early-cycle biases often reflect random-hexamer priming; strong cycle-wide deviations can indicate contamination or low-diversity libraries. Sources: FastQC

2025-12-20T21:28:27.582100 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Per-base quality (Phred)

Quality score summaries vs read position. Gradual 3' decay is expected; sharp drops flag chemistry issues or the need for stricter trimming. Sources: FastQC

2025-12-20T21:28:31.622669 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Per-sequence GC content

GC% distribution across reads; compare to the organism/transcriptome expectation. Shifts, extra peaks, or broadened spread suggest contamination or selection bias. Sources: FastQC

2025-12-20T21:28:27.036216 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/

Per-sequence quality distribution

Distribution of mean Phred scores per read. A left tail marks subpopulations of low-quality reads that may warrant tighter filtering. Sources: FastQC

2025-12-20T21:28:27.538032 image/svg+xml Matplotlib v3.10.5, https://matplotlib.org/