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	keep_all_barcodes -> salmon_quantification	[_draw_="c 7 -#000000 B 10 2019.98 268.56 2010.11 265.49 1998.61 262.23 1988 260 1973.97 257.05 1934.28 261.99 1924 252 1921.49 249.56 1920.13 \
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	barcode_file -> salmon_quantification	[_draw_="c 7 -#000000 B 13 2123.4 268.52 2116.02 265.33 2107.26 261.99 2099 260 2059.96 250.59 2046.5 266.37 2009 252 2002.78 249.61 2003.06 \
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	fastq_dir -> salmon_quantification	[_draw_="c 7 -#000000 B 7 2800.09 268.57 2784.09 265.34 2765.22 261.97 2748 260 2468.93 228.09 2133.94 225.07 1990.63 225.44 ",
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	fastqc	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 3307 215.5 3307 234.5 3557 234.5 3557 215.5 ",
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		label="Runs fastQC on each fastq file in fastq directory",
		pos="3432,225",
		rects="3307,215.5,3557,234.5",
		width=3.4722];
	fastq_dir -> fastqc	[_draw_="c 7 -#000000 B 7 2924.47 276.27 3051.81 274.62 3283.51 269.26 3365 252 3379.42 248.95 3394.8 243.17 3407.18 237.84 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3408.06 240.13 3413.46 235.05 3406.07 235.66 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 3411 245.6 0 36 9 -fastq_dir ",
		label=fastq_dir,
		lp="3411,247.5",
		pos="e,3414.8,234.44 2924.5,276.27 3051.8,274.62 3283.5,269.26 3365,252 3379.4,248.95 3394.8,243.17 3407.2,237.84"];
	threads -> salmon_quantification	[_draw_="c 7 -#000000 B 13 2629.65 268.55 2614.2 265.24 2595.8 261.8 2579 260 2555.46 257.47 2175.38 259.7 2153 252 2146.7 249.83 2147.24 \
245.35 2141 243 2114.37 232.97 2044.74 228.86 1990.68 227.17 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1991.07 224.73 1984 226.97 1990.93 229.63 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2169 245.6 0 32 7 -threads ",
		label=threads,
		lp="2169,247.5",
		pos="e,1982.5,226.93 2629.7,268.55 2614.2,265.24 2595.8,261.8 2579,260 2555.5,257.47 2175.4,259.7 2153,252 2146.7,249.83 2147.2,245.35 \
2141,243 2114.4,232.97 2044.7,228.86 1990.7,227.17"];
	threads -> fastqc	[_draw_="c 7 -#000000 B 13 2700.35 268.52 2715.8 265.2 2734.2 261.77 2751 260 2812.11 253.57 3243.36 261.96 3304 252 3316.9 249.88 3319.3 \
246.1 3332 243 3342.74 240.38 3354.22 238.02 3365.44 235.95 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3365.6 238.41 3372.06 234.76 3364.73 233.59 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 3348 245.6 0 32 7 -threads ",
		label=threads,
		lp="3348,247.5",
		pos="e,3373.5,234.5 2700.3,268.52 2715.8,265.2 2734.2,261.77 2751,260 2812.1,253.57 3243.4,261.96 3304,252 3316.9,249.88 3319.3,246.1 \
3332,243 3342.7,240.38 3354.2,238.02 3365.4,235.95"];
	metadata_dir -> salmon_quantification	[_draw_="c 7 -#000000 B 7 1699.41 268.61 1717.5 260.72 1746.09 249.23 1772 243 1796.96 237 1824.82 233.09 1849.58 230.56 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1849.61 233.02 1856.34 229.9 1849.14 228.15 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1799.5 245.6 0 55 12 -metadata_dir ",
		label=metadata_dir,
		lp="1799.5,247.5",
		pos="e,1857.8,229.76 1699.4,268.61 1717.5,260.72 1746.1,249.23 1772,243 1797,237 1824.8,233.09 1849.6,230.56"];
	scvelo_analysis	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 2117 80.5 2117 99.5 2293 99.5 2293 80.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 2205 87.5 0 160 32 -RNA velocity analysis via scVelo ",
		height=0.27778,
		label="RNA velocity analysis via scVelo",
		pos="2205,90",
		rects="2117,80.5,2293,99.5",
		width=2.4444];
	assay -> scvelo_analysis	[_draw_="c 7 -#000000 B 13 2234 268.7 2234 258.6 2234 241.05 2234 226 2234 226 2234 226 2234 134 2234 122.03 2233.64 117.96 2227 108 2226.23 \
106.84 2225.35 105.73 2224.4 104.66 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2226.33 103.11 2219.52 100.17 2223.01 106.71 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2260 178.1 0 52 10 -assay_name ",
		label=assay_name,
		lp="2260,180",
		pos="e,2218.4,99.141 2234,268.7 2234,258.6 2234,241.05 2234,226 2234,226 2234,226 2234,134 2234,122.03 2233.6,117.96 2227,108 2226.2,\
106.84 2225.3,105.73 2224.4,104.66"];
	scanpy_analysis	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 3048 125.5 3048 144.5 3260 144.5 3260 125.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 3154 132.5 0 196 39 -Dimensionality reduction and clustering ",
		height=0.27778,
		label="Dimensionality reduction and clustering",
		pos="3154,135",
		rects="3048,125.5,3260,144.5",
		width=2.9444];
	assay -> scanpy_analysis	[_draw_="c 7 -#000000 B 7 2258.42 268.55 2267.88 265.51 2278.86 262.28 2289 260 2561.92 198.66 2890.44 161.35 3052.87 145.28 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3052.73 147.76 3059.45 144.63 3052.25 142.88 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2636.5 200.6 0 25 5 -assay ",
		label=assay,
		lp="2636.5,202.5",
		pos="e,3061,144.49 2258.4,268.55 2267.9,265.51 2278.9,262.28 2289,260 2561.9,198.66 2890.4,161.35 3052.9,145.28"];
	assay -> salmon_quantification	[_draw_="c 7 -#000000 B 13 2211.18 268.52 2201.67 265.33 2190.43 261.99 2180 260 2131.41 250.73 2115.33 269.32 2069 252 2062.76 249.67 2063.18 \
245.49 2057 243 2036.31 234.65 2012.54 230.13 1990.68 227.75 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1991.12 225.33 1983.91 227.09 1990.64 230.21 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2081.5 245.6 0 25 5 -assay ",
		label=assay,
		lp="2081.5,247.5",
		pos="e,1982.4,226.94 2211.2,268.52 2201.7,265.33 2190.4,261.99 2180,260 2131.4,250.73 2115.3,269.32 2069,252 2062.8,249.67 2063.2,245.49 \
2057,243 2036.3,234.65 2012.5,230.13 1990.7,227.75"];
	compute_qc_results	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 1830 80.5 1830 99.5 1948 99.5 1948 80.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1889 87.5 0 102 18 -Compute QC metrics ",
		height=0.27778,
		label="Compute QC metrics",
		pos="1889,90",
		rects="1830,80.5,1948,99.5",
		width=1.6389];
	assay -> compute_qc_results	[_draw_="c 7 -#000000 B 10 2210.61 268.52 2201.21 265.41 2190.2 262.13 2180 260 2147.18 253.16 2136.21 264.23 2105 252 2093.59 247.53 1955.95 \
142.37 1906.53 104.46 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1908.15 102.62 1901.1 100.3 1905.17 106.5 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2029.5 178.1 0 25 5 -assay ",
		label=assay,
		lp="2029.5,180",
		pos="e,1899.9,99.378 2210.6,268.52 2201.2,265.41 2190.2,262.13 2180,260 2147.2,253.16 2136.2,264.23 2105,252 2093.6,247.53 1956,142.37 \
1906.5,104.46"];
	squidpy_analysis	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 4631 80.5 4631 99.5 4843 99.5 4843 80.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 4737 87.5 0 196 39 -Dimensionality reduction and clustering ",
		height=0.27778,
		label="Dimensionality reduction and clustering",
		pos="4737,90",
		rects="4631,80.5,4843,99.5",
		width=2.9444];
	assay -> squidpy_analysis	[_draw_="c 7 -#000000 B 16 2256.68 268.5 2266.48 265.23 2278.16 261.83 2289 260 2315.8 255.47 3267 253.18 3267 226 3267 226 3267 226 3267 \
134 3267 114.9 3217.93 123.06 3421 108 3652.87 90.8 4347.79 90.2 4622.98 90.68 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4622.88 93.13 4629.88 90.69 4622.89 88.23 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 3279.5 178.1 0 25 5 -assay ",
		label=assay,
		lp="3279.5,180",
		pos="e,4631.4,90.697 2256.7,268.5 2266.5,265.23 2278.2,261.83 2289,260 2315.8,255.47 3267,253.18 3267,226 3267,226 3267,226 3267,134 \
3267,114.9 3217.9,123.06 3421,108 3652.9,90.8 4347.8,90.203 4623,90.682"];
	organism -> salmon_quantification	[_draw_="c 7 -#000000 B 7 1474.17 268.63 1480.36 265.37 1487.83 261.96 1495 260 1559.76 242.3 1746.14 232.61 1849.26 228.47 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1849.35 230.92 1856.25 228.19 1849.15 226.02 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1624.5 245.6 0 39 8 -organism ",
		label=organism,
		lp="1624.5,247.5",
		pos="e,1857.8,228.13 1474.2,268.63 1480.4,265.37 1487.8,261.96 1495,260 1559.8,242.3 1746.1,232.61 1849.3,228.47"];
	deepscence	[_draw_="c 7 -#000000 C 7 -#fafad2 P 4 1725.5 170.5 1725.5 189.5 1912.5 189.5 1912.5 170.5 ",
		_ldraw_="F 10 9 -Helvetica c 7 -#000000 T 1819 177.5 0 171 35 -Identify and score scenescent cells ",
		height=0.27778,
		label="Identify and score scenescent cells",
		pos="1819,180",
		rects="1725.5,170.5,1912.5,189.5",
		width=2.5972];
	organism -> deepscence	[_draw_="c 7 -#000000 B 7 1475.88 268.58 1490.97 260.9 1514.49 249.76 1536 243 1611.58 219.26 1701.28 201.26 1759.12 190.93 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1759.46 193.36 1765.93 189.72 1758.61 188.53 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1657.5 223.1 0 39 8 -organism ",
		label=organism,
		lp="1657.5,225",
		pos="e,1767.4,189.46 1475.9,268.58 1491,260.9 1514.5,249.76 1536,243 1611.6,219.26 1701.3,201.26 1759.1,190.93"];
	expected_cell_count -> salmon_quantification	[_draw_="c 7 -#000000 B 10 1899.11 268.53 1888.94 265.72 1877.5 262.64 1867 260 1851.52 256.11 1841.95 264.48 1832 252 1822.31 239.85 1832.79 \
233.18 1849.47 229.58 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1849.57 232.06 1856.03 228.41 1848.7 227.23 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1873.5 245.6 0 83 19 -expected_cell_count ",
		label=expected_cell_count,
		lp="1873.5,247.5",
		pos="e,1857.5,228.14 1899.1,268.53 1888.9,265.72 1877.5,262.64 1867,260 1851.5,256.11 1841.9,264.48 1832,252 1822.3,239.85 1832.8,233.18 \
1849.5,229.58"];
	img_dir -> salmon_quantification	[_draw_="c 7 -#000000 B 13 2368.08 268.52 2342.21 265.44 2312.25 262.19 2285 260 2247.08 256.95 2150.91 261.21 2114 252 2104.93 249.74 2104.01 \
245.49 2095 243 2061.23 233.67 2022.57 229.29 1990.18 227.29 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1990.73 224.87 1983.6 226.92 1990.45 229.76 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2129 245.6 0 30 7 -img_dir ",
		label=img_dir,
		lp="2129,247.5",
		pos="e,1982.1,226.84 2368.1,268.52 2342.2,265.44 2312.2,262.19 2285,260 2247.1,256.95 2150.9,261.21 2114,252 2104.9,249.74 2104,245.49 \
2095,243 2061.2,233.67 2022.6,229.29 1990.2,227.29"];
	img_dir -> squidpy_analysis	[_draw_="c 7 -#000000 B 16 2495.86 268.51 2522.6 265.21 2554.29 261.8 2583 260 2602.07 258.8 3253.19 258.93 3271 252 3287.13 245.72 3300 \
243.31 3300 226 3300 226 3300 226 3300 134 3300 100.98 4282.38 93.17 4622.63 91.45 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4622.54 93.9 4629.53 91.42 4622.52 89 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 3315 178.1 0 30 7 -img_dir ",
		label=img_dir,
		lp="3315,180",
		pos="e,4631,91.41 2495.9,268.51 2522.6,265.21 2554.3,261.8 2583,260 2602.1,258.8 3253.2,258.93 3271,252 3287.1,245.72 3300,243.31 3300,\
226 3300,226 3300,226 3300,134 3300,100.98 4282.4,93.168 4622.6,91.451"];
	scvelo_analysis -> scvelo_annotated_h5ad	[_draw_="c 7 -#000000 B 4 2219.62 80.5 2230.36 74.26 2245.14 65.68 2257.26 58.63 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2258.28 60.87 2263.1 55.24 2255.82 56.64 ",
		pos="e,2264.4,54.478 2219.6,80.505 2230.4,74.262 2245.1,65.676 2257.3,58.631"];
	scvelo_analysis -> scvelo_embedding_grid_plot	[_draw_="c 7 -#000000 B 4 2172.01 80.5 2145.36 73.64 2107.72 63.95 2079.11 56.59 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2079.78 54.23 2072.39 54.86 2078.56 58.97 ",
		pos="e,2070.9,54.478 2172,80.505 2145.4,73.643 2107.7,63.952 2079.1,56.586"];
	scanpy_analysis -> umap_plot	[_draw_="c 7 -#000000 B 13 3164.08 125.76 3167.09 123.1 3170.3 120.05 3173 117 3177.13 112.34 3199.5 73.91 3205 71 3222.31 61.83 3890.49 \
64.76 3910 63 3926.58 61.51 3944.55 58.8 3960.62 55.98 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3960.89 58.42 3967.35 54.76 3960.02 53.59 ",
		pos="e,3968.8,54.495 3164.1,125.76 3167.1,123.1 3170.3,120.05 3173,117 3177.1,112.34 3199.5,73.915 3205,71 3222.3,61.832 3890.5,64.758 \
3910,63 3926.6,61.506 3944.5,58.798 3960.6,55.975"];
	scanpy_analysis -> deepscence_binary_plot	[_draw_="c 7 -#000000 B 10 3169.81 125.57 3182.04 119.49 3199.61 111.73 3216 108 3602.18 20.1 3711.48 97.95 4106 63 4127.65 61.08 4151.19 \
58.32 4172.42 55.59 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4172.61 58.03 4179.23 54.69 4171.98 53.17 ",
		pos="e,4180.7,54.499 3169.8,125.57 3182,119.49 3199.6,111.73 3216,108 3602.2,20.1 3711.5,97.949 4106,63 4127.7,61.082 4151.2,58.324 4172.4,\
55.586"];
	scanpy_analysis -> marker_gene_plot_logreg	[_draw_="c 7 -#000000 B 7 3085.25 125.54 2984.53 112.97 2791.03 88.12 2627 63 2612.41 60.77 2596.69 58.23 2582.02 55.82 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2582.79 53.46 2575.49 54.74 2581.99 58.3 ",
		pos="e,2574,54.492 3085.2,125.54 2984.5,112.97 2791,88.116 2627,63 2612.4,60.767 2596.7,58.234 2582,55.819"];
	scanpy_analysis -> dispersion_plot	[_draw_="c 7 -#000000 B 4 3111.81 125.56 3030.44 109.29 2852.14 73.63 2764.57 56.11 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2765.21 53.74 2757.87 54.77 2764.25 58.55 ",
		pos="e,2756.4,54.477 3111.8,125.56 3030.4,109.29 2852.1,73.628 2764.6,56.114"];
	scanpy_analysis -> umap_density_plot	[_draw_="c 7 -#000000 B 4 3135.3 125.56 3100.43 109.83 3025.4 75.96 2985.39 57.91 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2986.41 55.68 2979.02 55.03 2984.39 60.15 ",
		pos="e,2977.6,54.412 3135.3,125.56 3100.4,109.83 3025.4,75.964 2985.4,57.908"];
	scanpy_analysis -> marker_gene_plot_t_test	[_draw_="c 7 -#000000 B 7 3152.94 125.62 3151.74 112.91 3151.11 88.42 3161 71 3163.5 66.6 3167.13 62.72 3171.07 59.42 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3172.46 61.44 3176.64 55.31 3169.55 57.5 ",
		pos="e,3177.9,54.411 3152.9,125.62 3151.7,112.91 3151.1,88.415 3161,71 3163.5,66.596 3167.1,62.722 3171.1,59.42"];
	scanpy_analysis -> spatial_plot	[_draw_="c 7 -#000000 B 10 3155.15 125.93 3157.53 110.57 3163.47 77.99 3172 71 3180.54 64 3260.03 64.2 3271 63 3290.04 60.92 3310.68 58.23 \
3329.52 55.61 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3329.66 58.07 3336.25 54.67 3328.98 53.22 ",
		pos="e,3337.7,54.458 3155.2,125.93 3157.5,110.57 3163.5,77.994 3172,71 3180.5,64.005 3260,64.2 3271,63 3290,60.917 3310.7,58.232 3329.5,\
55.613"];
	scanpy_analysis -> deepscence_continuous_plot	[_draw_="c 7 -#000000 B 10 3157.63 125.51 3164.85 108.69 3180.54 72.62 3183 71 3198.37 60.89 3495.67 64.56 3514 63 3533.34 61.35 3554.38 \
58.58 3573.16 55.74 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3573.29 58.19 3579.84 54.71 3572.54 53.35 ",
		pos="e,3581.3,54.474 3157.6,125.51 3164.8,108.69 3180.5,72.621 3183,71 3198.4,60.892 3495.7,64.559 3514,63 3533.3,61.355 3554.4,58.576 \
3573.2,55.736"];
	scanpy_analysis -> filtered_data_h5ad	[_draw_="c 7 -#000000 B 16 3160.82 125.5 3162.88 122.83 3165.09 119.84 3167 117 3171.89 109.73 3172.56 107.56 3177 100 3184.57 87.12 3181.09 \
78.52 3194 71 3207.18 63.32 3727.83 64.61 3743 63 3756.76 61.54 3771.59 58.93 3784.96 56.2 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3785.25 58.64 3791.59 54.8 3784.23 53.84 ",
		pos="e,3793.1,54.483 3160.8,125.5 3162.9,122.83 3165.1,119.84 3167,117 3171.9,109.73 3172.6,107.56 3177,100 3184.6,87.117 3181.1,78.522 \
3194,71 3207.2,63.322 3727.8,64.613 3743,63 3756.8,61.537 3771.6,58.932 3785,56.195"];
	scanpy_analysis -> compute_qc_results	[_draw_="c 7 -#000000 B 7 3048.04 132.06 2912.75 129.42 2671.43 124.2 2465 117 2280.91 110.57 2063.86 99.95 1956.35 94.49 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1956.48 92.04 1949.37 94.13 1956.23 96.93 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2512.5 110.6 0 95 21 -secondary_matrix_path ",
		label=secondary_matrix_path,
		lp="2512.5,112.5",
		pos="e,1947.9,94.054 3048,132.06 2912.8,129.42 2671.4,124.2 2465,117 2280.9,110.57 2063.9,99.953 1956.3,94.487"];
	scanpy_analysis -> squidpy_analysis	[_draw_="c 7 -#000000 B 10 3190.98 125.58 3198.46 123.26 3206.13 120.42 3213 117 3218.97 114.03 3218.69 110.14 3225 108 3257.99 96.8 4276.48 \
92.48 4622.93 91.34 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4622.74 93.79 4629.73 91.31 4622.72 88.89 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 3244 110.6 0 38 9 -h5ad_file ",
		label=h5ad_file,
		lp="3244,112.5",
		pos="e,4631.2,91.31 3191,125.58 3198.5,123.26 3206.1,120.42 3213,117 3219,114.03 3218.7,110.14 3225,108 3258,96.797 4276.5,92.483 4622.9,\
91.337"];
	salmon_quantification -> raw_count_matrix	[_draw_="c 7 -#000000 B 13 1857.52 221.11 1704.43 213.81 1323 194.29 1323 181 1323 181 1323 181 1323 89 1323 71.18 699.79 63.96 682 63 640.59 \
60.76 595.36 57.84 554.85 55.06 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 555.21 52.63 548.06 54.59 554.87 57.51 ",
		pos="e,546.55,54.483 1857.5,221.11 1704.4,213.81 1323,194.29 1323,181 1323,181 1323,181 1323,89 1323,71.18 699.79,63.963 682,63 640.59,\
60.758 595.36,57.84 554.85,55.057"];
	salmon_quantification -> genome_build_json	[_draw_="c 7 -#000000 B 7 1949.26 215.6 2002.85 198.75 2107.87 158.13 2069 108 2057.38 93.01 1948.29 69.41 1880.93 56.07 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1881.76 53.73 1874.42 54.78 1880.81 58.54 ",
		pos="e,1872.9,54.492 1949.3,215.6 2002.9,198.75 2107.9,158.13 2069,108 2057.4,93.01 1948.3,69.41 1880.9,56.067"];
	salmon_quantification -> salmon_output	[_draw_="c 7 -#000000 B 16 1857.58 221.52 1808.71 219.62 1739.03 216.99 1678 215 1644.34 213.9 466 214.68 466 181 466 181 466 181 466 89 \
466 57.53 215.14 67.5 184 63 171.15 61.14 157.31 58.64 144.57 56.12 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 145.21 53.75 137.87 54.77 144.25 58.55 ",
		pos="e,136.38,54.468 1857.6,221.52 1808.7,219.62 1739,216.99 1678,215 1644.3,213.9 466,214.68 466,181 466,181 466,181 466,89 466,57.534 \
215.14,67.501 184,63 171.15,61.143 157.31,58.635 144.57,56.117"];
	salmon_quantification -> deepscence	[_draw_="c 7 -#000000 B 7 1899.01 215.65 1892.28 212.94 1884.81 209.88 1878 207 1867.34 202.5 1855.67 197.39 1845.54 192.9 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1846.58 190.68 1839.19 190.08 1844.59 195.16 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1897 200.6 0 38 9 -h5ad_file ",
		label=h5ad_file,
		lp="1897,202.5",
		pos="e,1837.8,189.46 1899,215.65 1892.3,212.94 1884.8,209.88 1878,207 1867.3,202.5 1855.7,197.39 1845.5,192.9"];
	salmon_quantification -> compute_qc_results	[_draw_="c 7 -#000000 B 7 1920.87 215.74 1922.4 198.36 1924.4 156.97 1913 125 1910.58 118.21 1906.39 111.54 1902.19 105.93 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1904.24 104.57 1897.94 100.65 1900.42 107.64 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1942.5 155.6 0 45 10 -salmon_dir ",
		label=salmon_dir,
		lp="1942.5,157.5",
		pos="e,1897,99.473 1920.9,215.74 1922.4,198.36 1924.4,156.97 1913,125 1910.6,118.21 1906.4,111.54 1902.2,105.93"];
	deepscence -> deepscence_plot	[_draw_="c 7 -#000000 B 13 1771.4 170.55 1735.26 164 1684.4 154.46 1640 145 1631.26 143.14 1335.87 72.1 1327 71 1207.24 56.14 903.09 82.53 \
784 63 776.16 61.71 767.88 59.5 760.26 57.09 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 761.16 54.8 753.74 54.9 759.6 59.45 ",
		pos="e,752.31,54.423 1771.4,170.55 1735.3,164 1684.4,154.46 1640,145 1631.3,143.14 1335.9,72.1 1327,71 1207.2,56.14 903.09,82.531 784,\
63 776.16,61.714 767.88,59.499 760.26,57.085"];
	deepscence -> count_matrix_h5ad	[_draw_="c 7 -#000000 B 7 1793.36 170.65 1728.38 149.87 1551.62 95.75 1400 71 1379.43 67.64 1280.85 60.73 1193.54 55.03 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1193.78 52.59 1186.64 54.58 1193.46 57.48 ",
		pos="e,1185.1,54.477 1793.4,170.65 1728.4,149.87 1551.6,95.746 1400,71 1379.4,67.643 1280.9,60.732 1193.5,55.026"];
	deepscence -> scvelo_analysis	[_draw_="c 7 -#000000 B 7 1912.31 170.68 1930.22 168.39 1948.76 165.53 1966 162 2041.85 146.47 2128.38 117.98 2173.64 102.22 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 2174.38 104.56 2180.17 99.94 2172.76 99.94 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2138.5 133.1 0 71 17 -spliced_h5ad_file ",
		label=spliced_h5ad_file,
		lp="2138.5,135",
		pos="e,2181.6,99.435 1912.3,170.68 1930.2,168.39 1948.8,165.53 1966,162 2041.8,146.47 2128.4,117.98 2173.6,102.22"];
	deepscence -> scanpy_analysis	[_draw_="c 7 -#000000 B 7 1912.21 175.92 1965.21 174.17 2032.82 171.95 2093 170 2437.8 158.81 2845.63 145.81 3039.97 139.62 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 3039.78 142.08 3046.69 139.41 3039.62 137.18 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 2634 155.6 0 38 9 -h5ad_file ",
		label=h5ad_file,
		lp="2634,157.5",
		pos="e,3048.2,139.36 1912.2,175.92 1965.2,174.17 2032.8,171.95 2093,170 2437.8,158.81 2845.6,145.81 3040,139.62"];
	deepscence -> compute_qc_results	[_draw_="c 7 -#000000 B 7 1819.24 170.87 1819.96 159.54 1822.71 138.83 1833 125 1839.87 115.76 1850.06 108.52 1859.87 103.13 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1860.77 105.42 1865.89 100.06 1858.54 101.06 ",
		_ldraw_="F 8 9 -Helvetica c 7 -#000000 T 1874.5 133.1 0 83 19 -primary_matrix_path ",
		label=primary_matrix_path,
		lp="1874.5,135",
		pos="e,1867.2,99.369 1819.2,170.87 1820,159.54 1822.7,138.83 1833,125 1839.9,115.76 1850.1,108.52 1859.9,103.13"];
	fastqc -> fastqc_dir	[_draw_="c 7 -#000000 B 13 3556.82 223.65 3916.57 222.24 4930 215.24 4930 181 4930 181 4930 181 4930 89 4930 57.91 5457.99 65.23 5489 63 \
5517.66 60.94 5548.91 58.07 5576.92 55.29 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 5576.89 57.75 5583.61 54.61 5576.4 52.88 ",
		pos="e,5585.1,54.463 3556.8,223.65 3916.6,222.24 4930,215.24 4930,181 4930,181 4930,181 4930,89 4930,57.911 5458,65.234 5489,63 5517.7,\
60.935 5548.9,58.073 5576.9,55.286"];
	compute_qc_results -> qc_report	[_draw_="c 7 -#000000 B 7 1831.97 80.54 1798.71 75.55 1755.96 69.05 1718 63 1703.85 60.74 1688.6 58.24 1674.32 55.87 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1674.84 53.47 1667.53 54.74 1674.04 58.3 ",
		pos="e,1666,54.486 1832,80.536 1798.7,75.549 1756,69.049 1718,63 1703.8,60.745 1688.6,58.243 1674.3,55.867"];
	compute_qc_results -> scanpy_qc_results	[_draw_="c 7 -#000000 B 7 1830.04 86.63 1756.72 83.28 1627.8 76.06 1518 63 1502.21 61.12 1485.13 58.48 1469.59 55.84 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 1470.42 53.5 1463.11 54.72 1469.59 58.33 ",
		pos="e,1461.6,54.465 1830,86.631 1756.7,83.28 1627.8,76.057 1518,63 1502.2,61.123 1485.1,58.483 1469.6,55.842"];
	squidpy_analysis -> neighborhood_enrichment_plot	[_draw_="c 7 -#000000 B 4 4708.75 80.5 4686.22 73.73 4654.53 64.2 4630.15 56.87 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4631.05 54.58 4623.64 54.91 4629.64 59.28 ",
		pos="e,4622.2,54.478 4708.7,80.505 4686.2,73.732 4654.5,64.201 4630.2,56.872"];
	squidpy_analysis -> co_occurrence_plot	[_draw_="c 7 -#000000 B 4 4737 80.71 4737 75.59 4737 68.85 4737 62.67 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4739.45 62.78 4737 55.78 4734.55 62.78 ",
		pos="e,4737,54.265 4737,80.709 4737,75.593 4737,68.848 4737,62.666"];
	squidpy_analysis -> sdata_zarr	[_draw_="c 7 -#000000 B 4 4771.18 80.5 4798.9 73.61 4838.11 63.87 4867.79 56.49 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4868.22 58.91 4874.42 54.84 4867.04 54.15 ",
		pos="e,4875.9,54.478 4771.2,80.505 4798.9,73.614 4838.1,63.869 4867.8,56.491"];
	squidpy_analysis -> squidpy_annotated_h5ad	[_draw_="c 7 -#000000 B 10 4798.35 80.52 4824.41 77.16 4855.15 73.5 4883 71 4945.52 65.38 4961.87 71.93 5024 63 5035.09 61.41 5046.97 58.96 \
5057.86 56.42 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 5058.26 58.85 5064.49 54.83 5057.11 54.08 ",
		pos="e,5066,54.471 4798.4,80.523 4824.4,77.16 4855.1,73.504 4883,71 4945.5,65.379 4961.9,71.929 5024,63 5035.1,61.407 5047,58.964 5057.9,\
56.422"];
	squidpy_analysis -> squidpy_spatial_plot	[_draw_="c 7 -#000000 B 10 4802.72 80.53 4832.39 77.02 4867.91 73.25 4900 71 4959.21 66.85 5108.3 71.8 5167 63 5176.38 61.59 5186.37 59.25 \
5195.52 56.74 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 5196.14 59.11 5202.2 54.83 5194.79 54.4 ",
		pos="e,5203.7,54.416 4802.7,80.531 4832.4,77.02 4867.9,73.249 4900,71 4959.2,66.85 5108.3,71.799 5167,63 5176.4,61.594 5186.4,59.248 \
5195.5,56.741"];
	squidpy_analysis -> ripley_plot	[_draw_="c 7 -#000000 B 10 4807.52 80.52 4839.91 76.97 4878.85 73.16 4914 71 4955.49 68.45 5247.45 72.11 5288 63 5293.18 61.84 5298.52 59.94 \
5303.5 57.83 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 5304.24 60.18 5309.58 55.03 5302.19 55.73 ",
		pos="e,5311,54.401 4807.5,80.523 4839.9,76.965 4878.9,73.159 4914,71 4955.5,68.451 5247.4,72.112 5288,63 5293.2,61.835 5298.5,59.938 \
5303.5,57.825"];
	squidpy_analysis -> centrality_scores_plot	[_draw_="c 7 -#000000 B 10 4819.65 80.5 4860.62 76.42 4905.6 72.16 4926 71 5022.31 65.53 5264.42 76.01 5360 63 5370.17 61.62 5381.02 59.22 \
5390.93 56.65 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 5391.41 59.06 5397.53 54.87 5390.13 54.33 ",
		pos="e,5399,54.479 4819.7,80.502 4860.6,76.417 4905.6,72.158 4926,71 5022.3,65.534 5264.4,76.008 5360,63 5370.2,61.616 5381,59.219 5390.9,\
56.654"];
	squidpy_analysis -> interaction_matrix_plot	[_draw_="c 7 -#000000 B 7 4639.41 80.51 4599.17 76.31 4552.18 70.51 4510 63 4500 61.22 4489.29 58.86 4479.34 56.46 ",
		_hdraw_="S 5 -solid c 7 -#000000 C 7 -#000000 P 3 4480.04 54.11 4472.66 54.81 4478.87 58.87 ",
		pos="e,4471.2,54.452 4639.4,80.505 4599.2,76.308 4552.2,70.507 4510,63 4500,61.219 4489.3,58.857 4479.3,56.461"];
}