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Sample information : Larus_michahellis



Estimated number of cells
The total number of barcodes identified as cells.
Median UMI counts per cell
Among barcodes identified as cells, the median number of UMI per cell.
Median genes per cell
The median number of genes per cell.
Mean reads per cell
The mean number of reads per cell.
465

Estimated number of cell

11,468

Median UMI counts per cell

3,175

Median genes per cell

27,776

Mean reads per cell

Beads to cells


(left) Beads to cells plot
In library, different mRNAs from the same cell will carry the same cell barcode and random unique molecular identifiers (UMIs). However, some mRNA from dead cells mixed in reflection system was inevitability. This graph shows the distribution of UMI counts in each barcode. Barcodes can be determined to be cell-associated based on their UMI counts or by their expression profiles. Therefore, the graph contains both cell-associated (Colored Regions) and background-associated barcodes (Gray Regions).
(right) Histogram
Histograms of number of beads per droplet.
Summary


Estimated number of cells
The total number of barcodes identified as cells.
Mean reads per cell
The mean number of reads detected per cell.
Mean UMI counts per cell
The average number of UMI counts per cell. This item refers the average abundance of expression in each cell.
Median UMI counts per cell
The median number of UMI counts per cell.
Total genes detected
The total number of genes detected.
Mean genes per cell
The mean number of genes detected per cell. This item refers the activity of gene expression in each cell.
Median genes per cell
The median number of genes detected per cell.
Sequencing saturation
The fraction of UMI originating from an already-observed UMI.
Fraction reads in cells
The fraction of uniquely-mapped-to-transcriptome reads with cell-associated barcode.
Plot
The distribution of nFeature and nCount in violin.
Sample name
Larus_michahellis
Species
Larus_michahellis
Estimated number of cells
465
Mean reads per cell
27,776
Mean UMI count per cell
13,076
Median UMI counts per cell
11,468
Total genes detected
14,356
Mean genes per cell
3,205
Median genes per cell
3,175
Fraction reads in cells
99.17%
Sequencing saturation
40.43%
Sequencing


Number of reads
Number of raw off-machine reads obtained by this sequencing program.
Reads pass QC
Number of reads after quality control (QC) that can be used for downstream analysis. QC includes filtering low quality reads and invalid barcodes.
Reads with exactly matched barcodes
Number of reads with barcodes that match the barcode whitelist before correction.
Reads with failed barcodes
Number of reads with invalid barcodes that fail to match the barcode whitelist.
Reads filtered on low quality
Number of reads in low quality. The QC will filter the average base quality < Q20 or 2 bases < Q10 in the first 15 bases.
Q30 bases in cell barcode
Fraction of cell barcode bases with Q-score ≥ 30.
Q30 bases in UMI
Fraction of UMI bases with Q-score ≥ 30.
Q30 bases in reads
Fraction of RNA read bases with Q-score ≥ 30.
mRNA
Number of reads
21,604,344
Reads pass QC
95.41%
Reads with exactly matched barcodes
100.0%
Reads with failed barcodes
0.0%
Reads filtered on low quality
0.0%
Q30 bases in cell barcode
88.41%
Q30 bases in UMI
88.36%
Q30 bases in reads
93.10%
Droplet index
Number of reads
218,724,924
Reads pass QC
96.18%
Reads with exactly matched barcodes
90.21%
Reads with failed barcodes
3.26%
Reads filtered on low quality
0.56%
Q30 bases in cell barcode
95.89%
Q30 bases in reads
96.75%
Mapping & Annotation


Reads pass QC
Number of reads after quality control (QC) that can be used for downstream analysis. QC includes filtering low quality reads and invalid barcodes.
Reads mapped to genome
Fraction of reads that mapped to the genome.
Plus strand
The number of reads in plus strand.
Minus strand
The number of reads in minus strand.
Mitochondria ratio
The fraction of reads mapped to mitochondria.
Mapping quality corrected reads
The number of reads that align to a single exonic locus but also align to 1 or more non-exonic loci.
Reads mapped to exonic regionse
Fraction of reads that mapped to an exonic region of genome.
Reads mapped to intronic regions
Fraction of reads that mapped to an intronic region of genome.
Reads mapped antisense to gene
Fraction of reads mapped to transcriptome, but on the opposite strand of their annotated gene. This part of reads will be filtered out cause them are opposite to theoretical direction.
Reads mapped to intergenic regions
Fraction of reads that mapped to intergenic regions of genome.
Reads pass QC
20,612,408
Reads mapped to genome
63.38%
Plus strand
51.01%
Minus strand
48.99%
Mitochondria ratio
0.00%
Mapping quality corrected reads
0.03%
Reads mapped to exonic regions
82.1%
Reads mapped to intronic regions
8.9%
Reads mapped antisense to gene
11.3%
Reads mapped to intergenic regions
9.0%
Include introns
True
Cluster


Left
The figure is automated clustering each cell-barcode by UMAP algorithm. The cells clustered into the same group have similar expression profiles. Each dot represents a cell, and is colored according to different cluster.
Right
This plot shows that the total UMI counts for each cell-barcode. Two-dimensional horizontal and vertical coordinates of each dot are obtained using the uniform manifold approximation and projection (UMAP) algorithm. Each dot represents a cell and is colored according to UMI counts. Cells with greater UMI counts likely have higher RNA content than cells with fewer ones.
Marker


Table
The table shows the top 30 differentially expressed genes for each cluster. Here a differential expression test was performed between each cluster and the rest of the sample for each gene. The p-value is a measure of the statistical significance of the expression difference, the smaller the P value, the closer to the theoretical value. Avg_log2FC is log fold-chage of the average expression between the markers for every cluster compared to all remaining cells.
gene cluster p_val_adj p_val avg_log2FC pct.1 pct.2
PCDH1000.00070190521981640499.757519884838084e-064.6750.2870.017
CPM00.027984863186857120.00091107291597743864.3260.2250.024
LOC14174997800.061580529501230950.0025391000781371993.9130.2090.028
DKK200.0123470535010511020.000335138521361014543.7840.240.021
ALDH1A302.8103114808250697e-162.236974831509249e-193.590.6510.149
TWIST209.385142622915354e-158.964555557986489e-183.0170.6510.153
WNT9A01.1386991243159476e-212.719173265102159e-252.9990.7830.219
CRABP106.521651035852086e-101.5573472186226425e-122.9020.550.135
LOC14173646400.0150086608416169340.00041932977436977982.7920.2560.038
CEMIP06.494861239127048e-101.4992515795167109e-122.7620.5660.149
LOC14174367105.487134413847031e-063.756217142329417e-082.6780.4260.094
PDGFD03.866287490587089e-201.2310077180887014e-232.5840.8290.295
NTN100.0048964503332236610.0001032841947229382.5790.3020.069
LOC14174471206.506625256523624e-173.741025705017425e-202.5410.760.267
MXRA501.6168652156789591e-186.970195117215336e-222.4720.8680.41
IRX500.0020609932094093543.5763473664828405e-052.4550.3260.076
PTX301.0940933377868201e-231.7417708155485476e-272.420.9690.604
F2R00.0193901389086567520.00058804767366060832.3050.2870.083
LIMD200.00324069422687882926.319908346615563e-052.2950.3180.073
CTBP206.202026416107595e-129.873479926940373e-152.2660.6670.264
PRDM106.524859465889276e-111.3503649296594857e-132.2420.620.177
WNT2B00.0058742159946158610.00013232533045262192.1850.310.076
C3H1orf19803.9209588721041184e-253.1210370708462297e-292.1550.9690.604
CACNB200.056733413608696780.0022895678340849532.1360.2330.045
HAND204.2671833627989e-109.510557522754852e-132.1140.6670.302
AKAP1201.9331830506109054e-122.7698236815248183e-152.1060.7130.292
LOC14174367200.000292784818142061843.7521575834491725e-062.1010.3880.104
DIO201.6168652156789591e-187.722033983979746e-222.0760.9070.458
LOC14173967000.033069258002798810.00111608416725198552.0130.2710.069
ADGRA200.0026571187494754244.993816291836635e-052.010.3490.104
NRP105.543105838277671e-111.1030617365035564e-131.9180.7050.323
ADAMTS206.539072569412943e-082.602512365443343e-101.9130.6050.288
ROR200.00038124238428170434.976816924476599e-061.9090.4110.139
THBS101.5765594107709409e-161.1294304463056967e-191.8580.9690.785
FBLN502.589979147841606e-061.624501106273879e-081.8120.5190.174
NR2F203.9169061744640104e-163.429592288394819e-191.8050.8910.559
FBLN107.25320274506498e-121.2701620663171977e-141.7710.8220.42
PDE1C00.0097953453219632850.00024716424954727061.7550.3260.101
COL3A101.0998493336723952e-058.404484281823604e-081.7240.5580.267
ALAS101.587413961508207e-051.288834068883524e-071.7230.5350.25
GAS600.00039020584456703865.124887714205315e-061.6990.4420.17
LOC14174220801.3418718838191123e-131.4953598960015578e-161.6820.8290.507
HLF06.373350439491174e-064.5150695623236053e-081.6490.5740.285
CDCP100.0159325413637545520.000454019725242707151.6440.3330.122
CAV200.049120779717739010.00190132126488096641.6210.2950.108
CSRP202.0953721573132239e-132.6686264838821604e-161.6190.9530.753
KIAA051300.017981500280537440.00053244592090742081.6120.3410.135
PRICKLE106.205747114364952e-055.680656834768523e-071.5510.5350.253
TBX202.6907741412248457e-114.926196390047875e-141.5350.8060.545
HIC100.00276555232901877635.283232977509403e-051.5210.4190.181
C1QTNF310.00079618267045641931.1027285255067815e-051.8830.4040.122
CAMKV11.5053863495993894e-075.512041079485148e-101.6730.7020.36
FHL113.18538979058514e-095.32461876958433e-121.5210.7890.475
LIPC10.0503994994668690.00177720116722303331.490.3420.149
ITGA319.497040989836068e-091.814287859237966e-111.4850.7810.488
RSPO318.797915384770893e-091.6106985103059028e-111.3380.9210.693
LOC14173711310.000205641925507382652.368172333702488e-061.2770.5880.323
UCHL115.035086633434925e-063.37152334644388e-081.1970.7810.554
CDK2AP110.043868261799797390.00147356574699629841.1970.430.267
ACTG210.00427381854726555458.096543932573446e-051.1190.640.469
LOC14175013817.23997561030943e-057.376557176785855e-071.0870.7020.488
IL3410.0308420220154693170.00091571075473772621.080.4820.31
PDLIM112.4668994395951745e-052.0618040369139005e-071.0390.7540.564
NEFL10.020486911604992420.00055934177191056281.0250.50.314
CRIP114.514091979481771e-054.311796844207693e-070.9890.9910.914
AHNAK210.00123970058220997621.874895412082269e-050.9890.7980.564
TGFB218.270649843116365e-074.2133374986822205e-090.9720.9470.828
PDRG110.0055142131660315340.000108853368238145380.9140.6140.403
PRLH10.072739409147535160.0029413054084970040.9140.5610.406
LOC14173918510.084975009631467810.00367280348880737230.90.50.356
C1QTNF1211.8450400770796735e-051.4245712606600996e-070.880.9040.769
LOC14173286210.071097994298176330.0028636141936541610.8770.5180.356
NICN110.0013434365999380212.0638642345621116e-050.8740.6930.531
LOC14173549012.633987029372662e-101.8869603808289387e-130.8121.00.957
RPL10A13.5767520887697473e-131.423526263141665e-160.7841.00.977
ANXA211.120120330007657e-178.91602586967808e-220.7751.00.993
LOC14173548013.510638778251439e-071.5928234526811434e-090.7670.9910.964
LGALS311.8766919710170428e-051.4639482063175213e-070.7540.9560.884
DIO310.031011310226384640.00092320544652295280.7480.7370.653
VPS33B10.0369807550877483960.00115390081942190340.7470.6320.475
COX7A211.7169623327259079e-061.0250113424694985e-080.7390.9820.888
COTL113.2821830068770205e-062.0900632058438403e-080.7290.9740.931
RPL23A13.00835036956115e-174.7892229078423156e-210.7151.01.0
TAGLN10.00341382179448134755.923849010562237e-050.7040.9910.894
GCSH10.066606806282622650.00264560983324275270.70.6750.531
RPL22L110.00020699649290670712.405594839160968e-060.6920.9390.868
RPL3614.833760097401898e-132.308569655688242e-160.6871.01.0
BOLA315.035086633434925e-063.3540727165213404e-080.6870.9390.875
LOC14173450613.407094365378475e-131.0848027908552017e-160.6861.00.99
RPS2112.4235830591442366e-093.665372771132731e-120.681.00.99
SHISA210.089266610608806450.0039435619587588610.6750.6050.472
LOC14173583011.7961733823444103e-077.148664261499683e-100.6570.9820.977
CSRP112.4879020974192215e-071.0495806030662959e-090.6560.9910.97
ESD10.00561506551565212840.00011132166818127010.6450.7630.67
GM2A10.090870580613399460.0040650534350657090.630.6750.561
ELOF110.00074672953989280291.0223472169192239e-050.6240.9120.835
MICOS1310.000205641925507382652.3628721044378333e-060.6210.9650.865
RAB11B10.081316790984876240.00342406928528214040.6210.6840.548
ACTG111.4024120796304532e-143.3489104822823846e-180.621.00.997
RPL714.3828644813776937e-104.8841918920073e-130.6171.00.98
HMMR20.098910254501001840.007731423220567047627.4040.2030.0
CCNA220.0047453063953401410.000157887293898923758.3720.290.003
PLK123.0128374394751557e-053.2855108589357347e-078.0470.3910.003
AURKA20.0268146437556963030.00136175616621302587.090.2460.003
NUSAP120.00083777662746368591.862627298837935e-056.1110.3330.009
SPAG520.0054434441855067190.000187615325346207876.0710.290.006
DLGAP521.0782167808012381e-067.724230699045724e-096.060.4490.011
UBE2C26.99183396596202e-092.560092035614526e-116.0320.5220.017
KIF2C20.0488918398523240440.00290712444238526355.9740.2320.006
CDK128.15265955972864e-067.787305159336438e-085.9490.420.014
KPNA222.660330423152365e-052.850453857695766e-075.8450.4060.02
CDCA820.0519355826171311250.00319407069246563025.7710.2320.009
BUB1B20.0069843412486725230.000257415346629229165.5530.290.014
TTK20.0061745050355230670.00021969304711285615.3590.290.009
CDCA325.496027690450049e-057.218375936673232e-075.3090.3910.017
ANLN22.181493442872506e-061.7017142195455352e-085.1790.4490.029
KIF20B23.361833048664718e-072.087264011747576e-095.050.4780.029
KIF4A20.0023647995787132126.399998859846311e-055.0310.3190.017
SKA320.056490961163481460.0036062843948986814.970.2320.011
CENPF27.873909277417909e-067.395696049791558e-084.880.4350.032
MKI6722.3247102640858143e-052.442583418445654e-074.8580.420.04
SHCBP120.077569266638366270.0056495963523127554.840.2170.006
CDC2020.00260427172357852527.296853034304233e-054.8330.3190.02
KIF1520.088140148880889580.006672075267509834.6780.2170.011
FAM72A20.058100301519011820.003773767892980474.6690.2320.011
CKAP221.5554978495294478e-061.163868485678326e-084.6070.4640.037
INCENP20.00279032915622326947.995848891509806e-054.5350.3190.02
SPC2520.093472982689012940.0071724870900428624.5110.2170.014
BUB120.038003770319366540.00209938841054209844.4030.2460.011
CCNB123.2379044822952555e-071.9845470439921566e-094.3720.4930.043
ERCC6L20.058689155593176090.00384004504478156024.2840.2320.011
DEPDC120.0285308964546873230.00147162468380461554.2170.2610.02
CKAP2L20.00629412915783576260.000224951364472519074.1410.3040.026
PIMREG24.883670593310113e-064.3538255707293847e-084.1110.4490.037
KNL120.048458287163915450.00286591637051573533.9520.2460.02
TOP2A21.5452605674348322e-051.599011969804411e-073.910.4640.08
NUF220.030635777907938260.00160458026454058543.9060.2610.02
CENPE20.0079988093989502630.00030434059481797543.8940.3040.034
PRC120.000116070455616773291.7923798765942862e-063.8550.4060.049
PBK29.899831256905032e-085.043295394745857e-103.8390.5220.055
CENPU20.00239477756838266466.519254384994598e-053.8280.3330.032
CENPW20.035416631702971090.0019254604356546413.8030.2610.026
CKS220.0255188938836243380.00127157745531710853.7270.2750.034
TK120.039642781602929770.00220570758102745433.6370.2610.032
KIF1120.0150791369274180730.0006565539997848993.630.290.034
PTTG120.00050118984683013471.0013424465045276e-053.6150.3770.049
SMC222.4836402069000723e-123.756201857128184e-153.560.6810.112
ZWILCH20.062763872043299320.00421656515199750253.4970.2460.029
CENPH24.879073618692099e-073.223458651209458e-093.4480.5070.06
RRM220.00117543624835823592.7628074186929725e-053.2970.3620.043
COL11A231.3450130517283103e-062.788226259622702e-095.8750.5090.031
COL9A130.094185178214259260.00178536194793856065.8240.2630.006
SPP130.0046244664151561223.7546412031037526e-054.7270.3680.033
AKR1D134.93858497044361e-087.075899822334233e-114.2860.5960.103
BMP732.065583212092415e-111.150925932074099e-144.2820.7020.117
FABP730.040989389601672620.00057749916098830333.8710.3160.039
MEF2C30.0074836501322560236.552587077514626e-053.830.3680.056
SOX836.427638023208192e-132.0465296579505508e-163.7890.7540.117
COL2A130.000335346099586683231.6549755770416588e-063.740.4740.117
LOC14175168832.2163689364004206e-165.292610689486e-203.5830.9820.725
KCNMB130.009215100255881028.948835717722552e-053.4390.3680.053
FGFR330.07598188101861460.00134318669001728133.3950.2980.036
TIMP430.0180598127366930930.000212755893101216073.3150.3510.05
LOXL330.0036403456734173822.83971882508082e-053.170.4040.069
FNDC132.1542860215157984e-082.4007008120051877e-113.1120.7190.236
FAT330.002456834995414211.6622699563019012e-053.0730.4210.075
LOC14174214331.6729436892295973e-054.927080832722686e-082.9340.5440.128
GBGT130.0020188591541203051.3016603636372262e-052.8130.4390.094
LRRC1730.029176693098512080.000389293446609654672.6770.3680.092
SPON130.00019909892563100859.033382759665275e-072.560.5610.208
MAFB31.2537161158993694e-161.9958865173913387e-202.4580.9820.75
BAMBI30.00044278454506782722.2909333303676482e-062.3990.5260.169
PTPRF30.075450255732167290.00132126532365492372.3660.3330.069
SERPINF130.0022725560580780971.5014101155813263e-052.3630.4910.158
COL11A131.5866918235771821e-127.57792799607028e-162.3450.930.578
ADAMTS1030.0011251660739529866.627580153826393e-062.2290.5090.153
ASS130.0066974870658271425.8109216761534546e-052.160.4560.133
ASPN30.05755885200772080.00093464982962469492.1550.4210.178
DACT130.0041349343207316093.258445417117163e-052.1430.4910.186
QPCT30.0094129521608036829.215896806326935e-052.1310.4560.161
FAM20A30.0288723307308662370.000381501783118983962.1140.4210.153
NID130.047177802579837950.00070975122881392772.0310.3860.114
THBS230.000204716000506891929.451188433813365e-072.00.5960.217
MDK32.8571541535919145e-074.775948199110897e-101.9940.930.6
LOC14174192830.0464121924259614240.00068715018635905631.9640.4040.139
LOC14174098730.089368098584695580.0016503541249422411.9580.3860.147
ACTG237.940575808473024e-062.085799583535858e-081.9560.8070.469
COL9A230.0011251660739529866.627580153826393e-061.9510.6140.317
LOC14173517330.06042719996575550.00099565632356215771.9160.4040.15
FKBP1B30.049854577542740950.00076192620299341421.8260.4390.217
CDH231.7297124131726172e-072.7536614075819744e-101.8180.8420.492
GNG1031.1715031089809018e-053.263759357982294e-081.7670.7020.328
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LOC14173450840.0099943007753490740.000342875398724464773.810.4670.121
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LOC14174955540.00177555306498922934.141025615233974e-053.7880.5330.134
OSBP240.00376930319985301250.000104411168793190193.730.50.114
TRPS149.106349328156054e-076.596177575914996e-093.7220.7330.176
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KCNMB240.098251682979289270.0063973475027508263.5690.3670.09
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CACNA1E40.0066128192751687080.000208969931723471883.5080.4670.096
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LOC14175168850.025794597098296891.847897587237698e-052.5731.00.749
CXCL1450.093276120934255450.00022274008023781452.4620.8330.632
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IGFBP450.00246956628319099873.931491336768286e-072.3291.00.599
AIF1L50.050682708865660948.471996228439701e-052.2910.7780.333
CYGB50.0617482576692642140.000127792302746228582.250.8890.456
FGFR150.078491341691797460.000174938913266761832.0360.7780.414
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TIMP350.025578162863475541.6287933050052082e-051.6421.00.972
PARD3B50.0504125122256405968.025553168135095e-051.5990.9440.596
PLA2R150.063447487715572650.000136359322480336011.5680.8890.581
SYN350.0504125122256405967.892722607103725e-051.5130.9440.516
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LGALS350.0504125122256405967.827089347431742e-051.20.9440.902
FSTL150.09574004534851820.000236244639481339181.1780.9440.805
MMP250.0617482576692642140.000126757818609768421.1391.00.932
COL1A250.0550594703178441250.000100801386397390351.0331.00.995
COL6A250.081413915573419440.00018793310129978220.9951.00.942
PPDPF50.0285848853381635572.5028555179479353e-050.9471.00.992
COL1A150.0285848853381635572.373143470991251e-050.8671.01.0
Saturation


Left
The plot shows the Sequencing Saturation metric as a function of downsampled sequencing depth in mean reads per cell, up to the observed sequencing depth. Sequencing Saturation is a measure of the observed library complexity, and approaches 1.0 (100%) when all converted mRNA transcripts have been sequenced. The slope of the curve near the endpoint can be interpreted as an upper bound to the benefit to be gained from increasing the sequencing depth beyond this point.
Right
The plot shows the Median Genes per Cell as a function of downsampled sequencing depth in mean reads per cell, up to the observed sequencing depth. The slope of the curve near the endpoint can be interpreted as an upper bound to the benefit to be gained from increasing the sequencing depth beyond this point.