20250209.03

app.py

@@ -36,7 +36,7 @@ hide_streamlit_style = """
             """
 st.markdown(hide_streamlit_style, unsafe_allow_html=True) 
 
-pIdDf = pd.read_csv(os.path.join(ROOT, "../data/general/proteinNames4.tsv"), sep="\t")
+pIdDf = pd.read_csv(os.path.join(ROOT, "./data/general/proteinNames4.tsv"), sep="\t")
 
 pId = pIdDf['UniProtID'].values
 pIdDes = pIdDf['Description'].values
@@ -106,8 +106,26 @@ pIdIndex = st.sidebar.selectbox(label = "Select Protein", help = help_input3, op
 
 myPid = pId[pIdIndex]
 
-intDfOri = pd.read_csv(os.path.join(ROOT, "../data/general/finalScreen.tsv"), sep="\t")
-fpDf = pd.read_csv(os.path.join(ROOT, "../data/general/finalFp.tsv"), sep="\t")
+intDfOri = pd.read_csv(os.path.join(ROOT, "./data/general/finalScreenTSV00"), sep="\t")
+column_names = intDfOri.columns
+finalScreenSuffixes = ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "13"]
+for eachSuffix in finalScreenSuffixes:
+ fileAppend = "./data/general/finalScreenTSV" + eachSuffix
+ df_temp = pd.read_csv(os.path.join(ROOT, fileAppend), header=None, sep="\t")
+ df_temp.columns = intDfOri.columns
+ intDfOri = pd.concat([intDfOri, df_temp], ignore_index=True)
+#intDfOri = pd.read_csv(os.path.join(ROOT, "./data/general/finalScreen.tsv"), sep="\t")
+
+fpDf = pd.read_csv(os.path.join(ROOT, "./data/general/finalFpTSV00"), sep="\t")
+column_names = fpDf.columns
+finalFpSuffixes = ["01", "02"]
+for eachSuffix in finalFpSuffixes:
+ fileAppend = "./data/general/finalFpTSV" + eachSuffix
+ df_temp = pd.read_csv(os.path.join(ROOT, fileAppend), header=None, sep="\t")
+ df_temp.columns = fpDf.columns
+ fpDf = pd.concat([fpDf, df_temp], ignore_index=True)
+#fpDf = pd.read_csv(os.path.join(ROOT, "./data/general/finalFp.tsv"), sep="\t")
+
 intDf = intDfOri[intDfOri["accession"]==myPid]
 
 if len(intDf) == 0:
@@ -176,7 +194,7 @@ else:
     }
     data = draw_grid(intDf, formatter=formatter, fit_columns=True, selection='none', max_height=340)
   with col5:
-    st.image(os.path.join(ROOT, "../assets/proteinCentric/") + myPid + ".png")
+    st.image(os.path.join(ROOT, "./assets/proteinCentric/") + myPid + ".png")
     
   fragId = st.sidebar.selectbox(label = "Select Gen1 Fragment", options = intDf["fragId"])
   intDf2 = intDfOri[intDfOri["fragId"]==fragId]
@@ -200,7 +218,7 @@ else:
   
   intDf3 = intDf3.sort_values(by=['ligHits', 'l2fc'], ascending=[True, False])
     
-  st.sidebar.image(os.path.join(ROOT, "../assets/fragFiguresSingle/") + fragId + ".png")
+  st.sidebar.image(os.path.join(ROOT, "./assets/fragFiguresSingle/") + fragId + ".png")
   
   st.write(f"**:blue[{numProtDetected}]** proteins were enriched by fragment **{fragId}** (Fc compared to **CRF** control). **:blue[{numProtHits}]** of those proteins were labelled as **hits** by applying **medium** filter Set **(:blue[fS])**. **:blue[{bestProt}]** {varText2} **hit**. **:blue[{selectedGeneName}]** {varText} **:blue[{protRank}]**.")
   
@@ -210,7 +228,7 @@ else:
   
   col6, col7  = st.columns(2)
   with col6:
-    st.image(os.path.join(ROOT, "../assets/ligandVolcanoPlots/") + fragId + ".png")
+    st.image(os.path.join(ROOT, "./assets/ligandVolcanoPlots/") + fragId + ".png")
   with col7:
     if len(tempDf2.index) == 0:
       st.write("**:red[No]** data to display with selected filters. Applied **:blue[no filter]**")
@@ -298,7 +316,7 @@ else:
 
     # gen2Id = st.sidebar.selectbox(label = "Select Gen2 Fragment", options = temp4Df["fragId"])
     gen2Id = st.sidebar.selectbox(label = "Select Gen2 Fragment", options = sideBarList)
-    st.sidebar.image(os.path.join(ROOT, "../assets/fragFiguresSingle/") + gen2Id + ".png")
+    st.sidebar.image(os.path.join(ROOT, "./assets/fragFiguresSingle/") + gen2Id + ".png")
     
 ############ Elaborates Fragment Centric View ##########################      
 
@@ -349,4 +367,4 @@ else:
       data = draw_grid(
         gen2Df2, formatter=formatter, fit_columns=True, selection='none', max_height=340)
     with col9:
-      st.image(os.path.join(ROOT, "../assets/gen2VolcanoPlots/") + gen2Id + ".png")
+      st.image(os.path.join(ROOT, "./assets/gen2VolcanoPlots/") + gen2Id + ".png")

data/general/finalScreenTSV14

@@ -0,0 +1,10 @@
+accession	geneName	protHits	fragId	ligHits	mdfClass	l2fc	l2fcM	ml10adjP	ml10p	expId	nUniq	nPep	perCovg	rankRel
+Q8IXH7	NELFCD	91	C001	61	3	4.8	3.73	1.45967993	4.52976356	BD20_057	8	8	16	1
+Q15165	PON2	91	C001	136	3	4.77	3.7	1.45967993	4.31649479	BD20_057	2	2	7	2
+Q16740	CLPP	91	C001	87	3	4.37	3.3	1.49119188	4.88106643	BD20_057	8	8	31	3
+P21796	VDAC1	91	C001	190	3	4.02	2.95	1.14624898	3.56597037	BD20_057	27	29	92	4
+P49721	PSMB2	91	C001	161	3	4.02	2.95	1.45967993	4.30548645	BD20_057	7	7	42	4
+O15217	GSTA4	91	C001	27	3	4.01	2.94	1.35876412	3.93162927	BD20_057	5	5	27	6
+P50897	PPT1	91	C001	160	3	3.84	2.77	1.11782803	3.42877249	BD20_057	9	9	25	7
+Q06520	SULT2A1	91	C001	13	3	3.83	2.76	1.27712867	3.79194196	BD20_057	2	2	11	8
+Q9UHX1	PUF60	91	C001	112	3	3.8	2.73	1.45967993	4.6669024	BD20_057	19	19	40	9

data/general/finalScreenTSV15

@@ -0,0 +1,10 @@
+P61158	ACTR3	1	C419	4	0	1.8	-0.25	0.4307393	0.62975068	BD22_110	6	8	26	2281
+P61313	RPL15	1	C419	0	0	1.8	-0.25	0.43092552	1.64819732	BD22_110	9	9	46	2281
+P62314	SNRPD1	1	C419	0	0	1.8	-0.25	0.41706506	0.52194457	BD22_110	2	2	28	2281
+P62487	POLR2G	1	C419	0	0	1.8	-0.25	0.42707499	0.58261501	BD22_110	4	4	31	2281
+P63241	EIF5A	1	C419	0	0	1.8	-0.25	0.43092552	0.66237125	BD22_110	5	12	45	2281
+Q01780	EXOSC10	1	C419	0	0	1.8	-0.25	0.43092552	0.65597438	BD22_110	13	13	17	2281
+Q13451	FKBP5	1	C419	1	0	1.8	-0.25	0.43092552	0.71657461	BD22_110	2	3	9	2281
+Q16643	DBN1	1	C419	0	0	1.8	-0.25	0.43092552	0.6884129	BD22_110	12	12	27	2281
+Q76FK4	NOL8	1	C419	0	0	1.8	-0.25	0.43092552	0.85305997	BD22_110	5	5	5	2281
+Q7L2H7	EIF3M	1	C419	1	0	1.8	-0.25	0.4307393	0.62957167	BD22_110	7	7	32	2281

data/general/finalScreenTSV16

@@ -0,0 +1,10 @@
+P56182	RRP1	75	C387	0	0	0.72	-0.26	2.37767053	2.60246425	BD21_065	6	6	14	2883
+P60468	SEC61B	75	C387	0	0	0.72	-0.26	2.13822223	2.32420874	BD21_065	3	3	39	2883
+P61019	RAB2A	75	C387	5	0	0.72	-0.26	2.24120911	2.44233331	BD21_065	3	8	41	2883
+P61225	RAP2B	75	C387	1	0	0.72	-0.26	2.01988204	2.18508243	BD21_065	4	8	50	2883
+P61970	NUTF2	75	C387	3	0	0.72	-0.26	1.59015763	1.70054914	BD21_065	2	2	19	2883
+P84090	ERH	75	C387	0	0	0.72	-0.26	2.18766892	2.3828976	BD21_065	5	5	44	2883
+Q12788	TBL3	75	C387	1	0	0.72	-0.26	3.01990055	3.40734023	BD21_065	14	14	24	2883
+Q15029	EFTUD2	75	C387	0	0	0.72	-0.26	3.63516151	4.28878753	BD21_065	35	36	41	2883
+Q5JTZ9	AARS2	75	C387	3	0	0.72	-0.26	2.58043661	2.85364898	BD21_065	18	18	23	2883
+Q6RFH5	WDR74	75	C387	0	0	0.72	-0.26	1.54992033	1.65574865	BD21_065	2	2	8	2883