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68 changes: 68 additions & 0 deletions docs/developers.md
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# Developers


## Installable version of isopretGO (debian linux)

To create an installable version of isopretGO for debian (e.g. Ubuntu) linux, run the following script (on a debian system).

```
bash package.sh
```
This will create a file called ``isopret-gui_1.0.0_amd64.deb``.

We can install the file using this command (you may need to prepend sudo)

```
dpkg -i isopret-gui_1.0.0_amd64.deb
```

This will install an executable that can be started using this command


```
/opt/isopret-gui/bin/isopret-gui
```

If desired, the executable file can be moved elsewhere. We have uploaded the ``isopret-gui_1.0.0_amd64.deb`` file to the isopret-GO releases page.

## Installable version ARM MacIntosh

isopret-GO runs under Mac M1, M2, and M3. Older (intel-based) Mac systems are not supported at this time. To create an installer,
run the same command as above.

```
bash package.sh
```

On a Mac, this command will create a file called ``isopret-gui-1.0.0.dmg``. Double clicking this file will install a version of isopret-gui in the Applications folder.
We have uploaded this file to the releases page.




## Set up documentation

This step is not needed to run the application, but rather describes the code we use to
generate the isopretGO documentation.
Enter the following code to install mkdocs and run a server with the documentation locally.
The GitHub action will create a comparable site online.

```
python3 -m venv venv
source venv/bin/activate
pip install mkdocs
pip install mkdocs-material
pip install mkdocs-material[imaging]
pip install mkdocs-material-extensions
pip install pillow cairosvg
pip install mkdocstrings[python]
mkdocs serve
```

Note that on an M1 Mac we have encountered a difficulty with mkdocs not finding the cairo library. This can be solved
by running

```
export DYLD_FALLBACK_LIBRARY_PATH=/opt/homebrew/lib
```
before running mkdocs serve.
264 changes: 8 additions & 256 deletions docs/examples.md
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Expand Up @@ -6,263 +6,15 @@ These experiments study a broad range of conditons, but they all contained two d
samples that could be compared in a case-control design.

A zip archive containing HBADEALS output files for each of the datasets can be obtained
from the zenodo archive ([6483996](https://zenodo.org/record/6483996)).

- [PMID:33524399](https://pubmed.ncbi.nlm.nih.gov/33524399/)
- [PMID:31468702](https://pubmed.ncbi.nlm.nih.gov/31468702/)
- [PMID:30641038](https://pubmed.ncbi.nlm.nih.gov/30641038/)
- [PMID:33876188](https://pubmed.ncbi.nlm.nih.gov/33876188/)
- [PMID:34413880](https://pubmed.ncbi.nlm.nih.gov/34413880/)
- [PMID:34295332](https://pubmed.ncbi.nlm.nih.gov/34295332/)
- [PMID:32152472](https://pubmed.ncbi.nlm.nih.gov/32152472/)
- [PMID:30554964](https://pubmed.ncbi.nlm.nih.gov/30554964/)
- [PMID:34669477](https://pubmed.ncbi.nlm.nih.gov/34669477/)
- [PMID:33749664](https://pubmed.ncbi.nlm.nih.gov/33749664/)
- [PMID:32243809](https://pubmed.ncbi.nlm.nih.gov/32243809/)
- [PMID:30340504](https://pubmed.ncbi.nlm.nih.gov/30340504/)
- [PMID:31829804](https://pubmed.ncbi.nlm.nih.gov/31829804/)
- [PMID:32817457](https://pubmed.ncbi.nlm.nih.gov/32817457/)
- [PMID:33188283](https://pubmed.ncbi.nlm.nih.gov/33188283/)
- [PMID:30503522](https://pubmed.ncbi.nlm.nih.gov/30503522/)
- [PMID:32487996](https://pubmed.ncbi.nlm.nih.gov/32487996/)
- [PMID:31474574](https://pubmed.ncbi.nlm.nih.gov/31474574/)
- [PMID:32735620](https://pubmed.ncbi.nlm.nih.gov/32735620/)
- [PMID:32615169](https://pubmed.ncbi.nlm.nih.gov/32615169/)
- [PMID:32441123](https://pubmed.ncbi.nlm.nih.gov/32441123/)
- [PMID:31221130](https://pubmed.ncbi.nlm.nih.gov/31221130/)
- [PMID:30135250](https://pubmed.ncbi.nlm.nih.gov/30135250/)
- [PMID:33327559](https://pubmed.ncbi.nlm.nih.gov/33327559/)
- [PMID:32294156](https://pubmed.ncbi.nlm.nih.gov/32294156/)
- [PMID:34793334](https://pubmed.ncbi.nlm.nih.gov/34793334/)
- [PMID:26679344](https://pubmed.ncbi.nlm.nih.gov/26679344/)
- [PMID:34450236](https://pubmed.ncbi.nlm.nih.gov/34450236/)
- [PMID:34215830](https://pubmed.ncbi.nlm.nih.gov/34215830/)
- [PMID:32354235](https://pubmed.ncbi.nlm.nih.gov/32354235/)
- [PMID:35310884](https://pubmed.ncbi.nlm.nih.gov/35310884/)
- [PMID:24747576](https://pubmed.ncbi.nlm.nih.gov/24747576/)

## Pathophysiology


The RNA-seq datasets in this group involve investigations of diseases and disease mechanisms.

.. csv-table:: pathophysiology
:header: "cohort", "case:control", "category", "author", "pmid"
:widths: 20, 20, 20, 20, 20

SRP120040_105,5:4,neurodegenerative disease,Osipovitch M (2019),30554964_
SRP120040_106,7:4,neurodegenerative disease,Osipovitch M (2019),30554964_
SRP188206_107,12:12,Neurodegenerative disease,Lavin KM (2020),31829804_
SRP188206_108,12:12,Neurodegenerative disease,Lavin KM (2020),31829804_
SRP051518_111,4:7,Kawasaki disease,Rowley AH (2015),26679344_
SRP051518_112,4:7,Kawasaki disease,Rowley AH (2015),26679344_
SRP150872_114,28:32,lupus,Davenport EE (2018),30340504_
SRP332552_117,12:12,diabetes,Gabriel BM (2021),34669477_
SRP223448_119,10:22,schizophrenia,Perez JM (2021),32152472_
SRP325897_221,10:12,liver pathophysiology,Lv Y (2021),34413880_
SRP228563_222,11:12,sickle cell disease,Creary S (2020),32487996_
SRP318393_244,10:10,Sjögren,Verstappen GM (2021),34295332_
SRP287301_247,8:13,enteric dysfunction.,Haberman Y (2021),33524399_
SRP144583_251,18:38,enteric fever,Blohmke CJ (2019),31468702_
SRP233184_261,12:12,aortic aneurysm,Chen PY (2020),32243809_
SRP222046_263,4:4,abdominal aortic aneurysm,Lu H (2020),32354235_
SRP219588_264,18:9,Vibrio vulnificus,Kim BS (2020),32817457_
SRP279451_265,8:8,atopic dermatitis,Möbus L (2021),32615169_
SRP165679_266,6:38,psoriasis,Tsoi LC (2019),30641038_
SRP289501_267,9:9,asthma,Helling BA (2020),33188283_
SRP234559_281,12:8,idiopathic aplastic anemia,Lim SP (2020),32294156_
SRP335222_286,18:12,basophil physiology,Puan KJ (2021),34215830_
SRP292025_287,6:11,neurodegenerative disease,Garofalo M (2020),33327559_
SRP292025_288,6:11,neurodegenerative disease,Garofalo M (2020),33327559_
SRP346219_294,4:4,peripheral vascular disease,Gross DA (2022),34793334_
SRP258588_299,12:24,Burn-McKeown syndrome,Wood KA (2020),32735620_
SRP262152_304,4:4,atherosclerosis,Kim JB (2020),32441123_
SRP305908_306,4:4,intracerebral hemorrhage,Goods BA (2021),33749664_
SRP040622_308,7:6,stroke,Huttner HB (2014),24747576_
SRP328165_310,5:8,liver pathophysiology,Zhang IW (2022),34450236_
SRP191103_312,8:12,gastroparesis,Herring BP (2019),31221130_
SRP279451_316,21:21,atopic dermatitis,Möbus L (2021),32615169_
SRP161727_321,9:5,Diamond-Blackfan anemia,Ulirsch JC (2018),30503522_
SRP134188_322,8:10,dystrophic epidermolysis bullosa,Cho RJ (2018),30135250_
SRP272540_323,8:6,immune thrombocytopenia,Han P (2021),33876188_
SRP189352_327,4:15,SF3B1 mutations,Zhang J (2019),31474574_
SRP342557_328,5:5,epilepsy,Gomes-Duarte A (2022),35310884_



- [PMID:32652799](https://pubmed.ncbi.nlm.nih.gov/32652799/)
- [PMID:35115664](https://pubmed.ncbi.nlm.nih.gov/35115664/)
- [PMID:29025019](https://pubmed.ncbi.nlm.nih.gov/29025019/)
- [PMID:32891909](https://pubmed.ncbi.nlm.nih.gov/32891909/)
- [PMID:31827286](https://pubmed.ncbi.nlm.nih.gov/31827286/)
- [PMID:30333485](https://pubmed.ncbi.nlm.nih.gov/30333485/)
- [PMID:33986176](https://pubmed.ncbi.nlm.nih.gov/33986176/)
- [PMID:34755188](https://pubmed.ncbi.nlm.nih.gov/34755188/)
- [PMID:34739170](https://pubmed.ncbi.nlm.nih.gov/34739170/)
- [PMID:28101782](https://pubmed.ncbi.nlm.nih.gov/28101782/)
- [PMID:34758327](https://pubmed.ncbi.nlm.nih.gov/34758327/)
- [PMID:30993572](https://pubmed.ncbi.nlm.nih.gov/30993572/)
- [PMID:32710624](https://pubmed.ncbi.nlm.nih.gov/32710624/)
- [PMID:31339449](https://pubmed.ncbi.nlm.nih.gov/31339449/)
- [PMID:32365352](https://pubmed.ncbi.nlm.nih.gov/32365352/)
- [PMID:34587152](https://pubmed.ncbi.nlm.nih.gov/34587152/)
- [PMID:31941840](https://pubmed.ncbi.nlm.nih.gov/31941840/)
- [PMID:34784250](https://pubmed.ncbi.nlm.nih.gov/34784250/)
- [PMID:32645954](https://pubmed.ncbi.nlm.nih.gov/32645954/)
- [PMID:34215830](https://pubmed.ncbi.nlm.nih.gov/34215830/)
- [PMID:34886891](https://pubmed.ncbi.nlm.nih.gov/34886891/)
- [PMID:33024153](https://pubmed.ncbi.nlm.nih.gov/33024153/)
- [PMID:31029854](https://pubmed.ncbi.nlm.nih.gov/31029854/)
- [PMID:32066997](https://pubmed.ncbi.nlm.nih.gov/32066997/)
- [PMID:30367166](https://pubmed.ncbi.nlm.nih.gov/30367166/)

## Physiology


The RNA-seq datasets in this group involve investigations of physiology, cell biology, and gene regulation.

.. csv-table:: physiology
:header: "cohort", "case:control", "category", "author", "pmid"
:widths: 20, 20, 20, 20, 20

SRP162188_233,9:18,DRUG-seq,Ye C (2018),30333485_
SRP219481_236,6:6,erythropoiesis,Rossmann MP (2021),33986176_
SRP117167_242,7:7,memory T cell physiology,Belarif L (2018),30367166_
SRP258620_243,7:5,macrophage physiology,Gutbier S (2020),32645954_
SRP218229_249,12:8,adipose tissue,Vijay J (2020),32066997_
SRP218230_253,10:6,adipose tissue,Vijay J (2020),32066997_
SRP260413_255,4:6,radiation damage,Brambilla F (2020),32710624_
SRP302877_269,4:4,proteasome,Cáceres-Gutiérrez RE (2022),34739170_
SRP229996_271,8:4,CD8 T cell physiology,Jansen CS (2019),31827286_
SRP100829_272,5:5,oocyte physiology,Reyes JM (2017),29025019_
SRP202034_274,5:4,liver physiology,Mendoza A (2021),34784250_
SRP224022_275,6:6,intestinal enteroids,Chang-Graham AL (2019),31029854_
SRP221491_282,4:4,basal cell-like cells,Lu J (2021),32365352_
SRP229589_283,4:5,tacrolimus,Dai C (2020),31941840_
SRP168076_285,6:6,basophil physiology,Puan KJ (2021),34215830_
SRP335222_286,18:12,basophil physiology,Puan KJ (2021),34215830_
SRP094851_293,4:4,cardiomyocyte physiology,Necela BM (2017),28101782_
SRP300738_295,5:5,oocyte physiology,Ntostis P (2021),34755188_
SRP257383_296,4:4,development,Valcourt JR (2021),34758327_
SRP344260_297,4:4,pericyte physiology,Rezaei-Lotfi S (2021),34886891_
SRP253111_303,6:6,colon physiology,Bergenheim F (2020),32891909_
SRP162681_307,4:4,cell cycle,Mahmoud AD (2019),31339449_
SRP297875_311,6:6,gene expression,Grundman J (2021),34587152_
SRP255876_313,8:8,exposure to formaldehyde,Gonzalez-Rivera JC (2020),33024153_
SRP334204_317,4:4,macrophage physiology,De M (2022),35115664_
SRP334204_318,4:4,macrophage physiology,De M (2022),35115664_
SRP334204_319,4:4,macrophage physiology,De M (2022),35115664_
SRP334204_320,4:4,macrophage physiology,De M (2022),35115664_
SRP217536_324,9:10,high-protein diet,Xu C (2020),32652799_
SRP149366_329,4:4,breast cells,Meng P (2019),30993572_


- [PMID:34903601](https://pubmed.ncbi.nlm.nih.gov/34903601/)
- [PMID:34458010](https://pubmed.ncbi.nlm.nih.gov/34458010/)
- [PMID:32463448](https://pubmed.ncbi.nlm.nih.gov/32463448/)
- [PMID:26566875](https://pubmed.ncbi.nlm.nih.gov/26566875/)
- [PMID:34493867](https://pubmed.ncbi.nlm.nih.gov/34493867/)
- [PMID:30014619](https://pubmed.ncbi.nlm.nih.gov/30014619/)
- [PMID:34301266](https://pubmed.ncbi.nlm.nih.gov/34301266/)
- [PMID:31048689](https://pubmed.ncbi.nlm.nih.gov/31048689/)
- [PMID:29108258](https://pubmed.ncbi.nlm.nih.gov/29108258/)
- [PMID:34546978](https://pubmed.ncbi.nlm.nih.gov/34546978/)
- [PMID:34580113](https://pubmed.ncbi.nlm.nih.gov/34580113/)
- [PMID:34986855](https://pubmed.ncbi.nlm.nih.gov/34986855/)
- [PMID:34359754](https://pubmed.ncbi.nlm.nih.gov/34359754/)
- [PMID:32109375](https://pubmed.ncbi.nlm.nih.gov/32109375/)
- [PMID:29066513](https://pubmed.ncbi.nlm.nih.gov/29066513/)
- [PMID:34238982](https://pubmed.ncbi.nlm.nih.gov/34238982/)
- [PMID:34458146](https://pubmed.ncbi.nlm.nih.gov/34458146/)
- [PMID:26367798](https://pubmed.ncbi.nlm.nih.gov/26367798/)
- [PMID:24929677](https://pubmed.ncbi.nlm.nih.gov/24929677/)
- [PMID:33203734](https://pubmed.ncbi.nlm.nih.gov/33203734/)
- [PMID:28350380](https://pubmed.ncbi.nlm.nih.gov/28350380/)
- [PMID:33499129](https://pubmed.ncbi.nlm.nih.gov/33499129/)
- [PMID:34059508](https://pubmed.ncbi.nlm.nih.gov/34059508/)
- [PMID:24176112](https://pubmed.ncbi.nlm.nih.gov/24176112/)
- [PMID:33147339](https://pubmed.ncbi.nlm.nih.gov/33147339/)
- [PMID:33318192](https://pubmed.ncbi.nlm.nih.gov/33318192/)
- [PMID:30037853](https://pubmed.ncbi.nlm.nih.gov/30037853/)
- [PMID:31843922](https://pubmed.ncbi.nlm.nih.gov/31843922/)
- [PMID:29152775](https://pubmed.ncbi.nlm.nih.gov/29152775/)
- [PMID:23024189](https://pubmed.ncbi.nlm.nih.gov/23024189/)
- [PMID:33106178](https://pubmed.ncbi.nlm.nih.gov/33106178/)
- [PMID:34270926](https://pubmed.ncbi.nlm.nih.gov/34270926/)
- [PMID:30770362](https://pubmed.ncbi.nlm.nih.gov/30770362/)
- [PMID:32629178](https://pubmed.ncbi.nlm.nih.gov/32629178/)
- [PMID:32888433](https://pubmed.ncbi.nlm.nih.gov/32888433/)

## Cancer


The RNA-seq datasets in this group involve investigations of cancer.

.. csv-table:: cancer
:header: "cohort", "case:control", "category", "author", "pmid"
:widths: 20, 20, 20, 20, 20

SRP219837_113,7:5,colorectal cancer,Orouji E (2022),34059508_
SRP065445_115,7:5,Histiocytic neoplasms,Diamond EL (2016),26566875_
SRP286904_223,8:8,AML,Ho JM (2020),33147339_
SRP090124_224,26:11,breast cancer,Pouliot MC (2017),29108258_
SRP215936_225,13:18,breast cancer,Arruabarrena-Aristorena A (2020),32888433_
SRP042620_226,42:30,breast cancer,Varley KE (2014),24929677_
SRP281892_227,52:26,melanoma,Hong X (2021),33203734_
SRP090849_228,22:9,osteosarcoma,Scott MC (2018),29066513_
SRP026537_229,7:15,breast cancer,Daemen A (2013),24176112_
SRP233497_230,21:6,pancreatic cancer,Porter RL (2019),31843922_
SRP331153_231,4:4,breast cancer,Arruabarrena-Aristorena A (2020),32888433_
SRP092413_235,26:10,neuroblastoma,Harenza JL (2017),28350380_
SRP217026_237,6:6,pancreatic cancer,Salvador-Barbero B (2020),32109375_
SRP134389_238,18:4,breast cancer,Ye IC (2018),30037853_
SRP247679_239,8:12,cancer,Pearson JD (2021),34270926_
SRP119676_240,32:30,liver cancer,Hooks KB (2018),29152775_
SRP111914_241,10:19,liver cancer,Li S (2019),30014619_
SRP050440_246,7:6,resistance to BET inhibition,Rathert P (2015),26367798_
SRP220467_248,8:6,retinoblastoma,Liu H (2020),33318192_
SRP313282_254,9:11,lung cancer,Zhang T (2021),34493867_
SRP012167_256,5:4,parathyroid adenoma,Haglund F (2012),23024189_
SRP332697_257,6:6,parathyroid adenoma,Haglund F (2012),23024189_
SRP332697_257,6:6,parathyroid adenoma,Haglund F (2012),23024189_
SRP301216_258,5:5,colorectal cancer,Hong Q (2021),34458146_
SRP327911_260,5:5,malignant pleomorphic adenoma,Han Z (2022),34986855_
SRP278517_270,11:6,ovarian cancer,Cardillo N (2021),33499129_
SRP303687_273,7:19,thyroid cancer,He H (2021),34238982_
SRP302218_277,4:4,sarcoma,Carrabotta M (2022),34903601_
SRP276412_278,5:5,GI stromal ,Shao Y (2021),34458010_
SRP183071_280,7:9,DLBCL,McCord R (2019),30770362_
SRP311634_284,10:10,pancreatic cancer,Farshadi EA (2021),34580113_
SRP183757_290,5:5,EMT-chemoresistance,Sale MJ (2019),31048689_
SRP267712_291,6:6,melanoma,Grigore F (2020),32629178_
SRP336449_292,5:12,head and neck cancer,Bouhaddou M (2021),34546978_
SRP253895_301,6:6,cancer,Chan TW (2020),33106178_
SRP253895_302,6:6,cancer,Chan TW (2020),33106178_
SRP226592_305,6:6,resistance phenotypes,Johnson AG (2020),32463448_
SRP312693_314,4:4,medulloblastoma,Rea J (2021),34359754_
SRP254646_315,11:11,prostate cancer,He YD (2021),34301266_

- [PMID:26873097](https://pubmed.ncbi.nlm.nih.gov/26873097/)
- [PMID:31434901](https://pubmed.ncbi.nlm.nih.gov/31434901/)
- [PMID:33897690](https://pubmed.ncbi.nlm.nih.gov/33897690/)
- [PMID:34128839](https://pubmed.ncbi.nlm.nih.gov/34128839/)
- [PMID:31844885](https://pubmed.ncbi.nlm.nih.gov/31844885/)
## Infectious disease

The RNA-seq datasets in this group involve investigations of infectious disease.



.. csv-table:: infectious disease
:header: "cohort", "case:control", "category", "author", "pmid"
:widths: 20, 20, 20, 20, 20

SRP049605_116,28:13,Lyme disease,Bouquet J (2016),26873097_
SRP286302_118,6:6,Trypanosoma cruzi,Gil-Jaramillo N (2021),33897690_
SRP095674_220,4:6,Schistosoma haematobium,Labuda LA (2020),31844885_
SRP134018_250,15:24,Tuberculous meningitis,Rohlwink UK (2019),31434901_
SRP320156_309,6:6,tuberculosis,Reichmann MT (2021),34128839_
from the zenodo archive at [10369086](https://zenodo.org/records/10369086){:target="_blanl"}.

Details and PubMed identifiers for each of the experiments are available in the Supplementary material.

- Supplemental table S1: 33 disease-related cohorts
- Supplemental table S2: 28 RNA-seq experiments devoted primarily to the study of physiology, gene expression or cell biology.
- Supplemental table S3: 39 RNA-seq experiments devoted primarily to the study of cancer
- Supplemental table S4: 5 RNA-seq experiments related to infectious disease.


Additionally, the GitHub repository for the paper [Betacoronavirus-specific alternate splicing](https://pubmed.ncbi.nlm.nih.gov/35074468/)
also contains 15 HBA-DEALS output files related to that publication that can be used as input for isopretGO.
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