{"id":12130,"date":"2021-01-13T09:30:00","date_gmt":"2021-01-13T11:30:00","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/?p=12130"},"modified":"2022-10-18T08:09:26","modified_gmt":"2022-10-18T11:09:26","slug":"pyscratch-spatial-and-temporal-information-from-scratch-assays","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/lv\/pyscratch-spatial-and-temporal-information-from-scratch-assays\/","title":{"rendered":"PyScratch: Jauns r\u012bks, lai apstr\u0101d\u0101tu telpisko un laika inform\u0101ciju no \"scratch\" anal\u012bz\u0113m"},"content":{"rendered":"

PyScratch ir jauna atv\u0113rt\u0101 koda programmat\u016bra, kas ir ieviesta Python valod\u0101 migr\u0101cijas datu anal\u012bzes veik\u0161anai, ar lietot\u0101jam draudz\u012bgu saskarni, kas \u013cauj to izmantot zin\u0101tniekiem ar neliel\u0101m programm\u0113\u0161anas prasm\u0113m vai bez t\u0101m. <\/p>\n\n\n\n

Programmat\u016bra tika izstr\u0101d\u0101ta 2017. gad\u0101, sadarbojoties trim Braz\u012blijas zin\u0101tniekiem Kampinasas Universit\u0101tes NanoCell Interactions laboratorij\u0101. <\/p>\n\n\n\n

T\u0101 rad\u0101s no \u0161o zin\u0101tnieku vajadz\u012bbas, un \u0161odien programmat\u016bras m\u0113r\u0137is ir atvieglot p\u0113tnieku ikdienas praksi, izsl\u0113gt manu\u0101lo anal\u012bzi, palielin\u0101t reproduc\u0113jam\u012bbu un l\u012bdz minimumam samazin\u0101t cilv\u0113cisk\u0101s k\u013c\u016bdas.<\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

Att\u0113lu anal\u012bze ir viens no svar\u012bg\u0101kajiem veidiem, ko zin\u0101tnieki izmanto da\u017e\u0101d\u0101s metodolo\u0123ij\u0101s, lai analiz\u0113tu rezult\u0101tus. <\/p>\n\n\n\n

P\u0113d\u0113jos gados ir palielin\u0101jies ne tikai automatiz\u0113to mikroskopu izmanto\u0161anas apjoms, bet ar\u012b ieg\u016bto datu sare\u017e\u0123\u012bt\u012bba. <\/p>\n\n\n\n

Da\u013ca no zin\u0101tnieka darba ir atkl\u0101t, k\u0101 r\u012bkoties ar jauna veida inform\u0101ciju, turkl\u0101t analiz\u0113t un apstr\u0101d\u0101t datus. <\/p>\n\n\n\n

Lai to pan\u0101ktu, zin\u0101tniekiem ir nepiecie\u0161ami labi un specializ\u0113ti r\u012bki, kas \u013cauj pareizi ieg\u016bt un interpret\u0113t visus datus.<\/p>\n\n\n\n

PyScratch pirmo reizi tika izveidots, lai pal\u012bdz\u0113tu biolo\u0123ijas p\u0113tniecei Fernandai Garsijai-Fosai analiz\u0113t milz\u012bgu datu apjomu, kas ieg\u016bts migr\u0101cijas testos. <\/p>\n\n\n\n

\"Es veicu v\u0113\u017ea \u0161\u016bnu skr\u0101p\u0113\u0161anu un inkub\u0113ju iek\u0101rt\u0101 48 stundas, ieg\u016bstot att\u0113lus ik p\u0113c 15 min\u016bt\u0113m, un tikai viena eksperimenta beig\u0101s man bija aptuveni t\u016bksto\u0161 att\u0113lu, kurus apskat\u012bt un analiz\u0113t! <\/p>\n\n\n\n

To nebija iesp\u0113jams izdar\u012bt manu\u0101li,\" st\u0101sta Garsija-Fosa. Lai atrisin\u0101tu \u0161o probl\u0113mu, Garsija-Fosa v\u0113rs\u0101s p\u0113c pal\u012bdz\u012bbas pie sava partnera, fizi\u0137a Vladimira Gaala, kur\u0161 taj\u0101 laik\u0101 apguva Python, un t\u0101 bija lieliska iesp\u0113ja \u0161\u012bs zin\u0101\u0161anas pielietot praks\u0113.<\/p>\n\n\n\n

T\u0101tad abi str\u0101d\u0101ja risin\u0101jum\u0101, izmantojot Python rut\u012bnu, kas atpazina saskr\u0101p\u0113t\u0101s zonas un eksport\u0113ja uz csv failu. <\/p>\n\n\n\n

\"Ar laiku m\u0113s jut\u0101m nepiecie\u0161am\u012bbu izstr\u0101d\u0101t lietot\u0101ja interfeisu, lai padar\u012btu v\u0113l viegl\u0101k lietojamu, t\u0101d\u0101 veid\u0101 m\u0113s var\u0113tu public\u0113t programmat\u016bru jebkuram p\u0113tniekam, kas nepiecie\u0161ams izmantot, k\u0101 ar\u012b\", saka Garcia-Fossa par programmat\u016bras rakstu, ka j\u016bs varat to p\u0101rbaud\u012bt. klik\u0161\u0137inot \u0161eit<\/a>.<\/p>\n\n\n\n

Garsija-Fosa ar\u012b st\u0101sta, ka migr\u0101cijas apgabala atpaz\u012b\u0161ana un noteik\u0161ana p\u0113c att\u0113liem pras\u012bja laiku, jo att\u0113li var \u013coti at\u0161\u0137irties viens no otra gaismas, fokusa un kontrasta d\u0113\u013c, un \u0161odien izmantot\u0101 versija jau sp\u0113j diezgan labi analiz\u0113t. <\/p>\n\n\n\n

Tom\u0113r vi\u0146i joproj\u0101m str\u0101d\u0101 pie programmat\u016bras, lai palaistu jaunas un lab\u0101kas versijas, jo public\u0113taj\u0101 rakst\u0101 ir izvirz\u012btas da\u017eas lietot\u0101ju piepras\u012bjuma uzlabojumu vajadz\u012bbas.<\/p>\n\n\n\n

Programmat\u016bras veiktsp\u0113jas valid\u0113\u0161anai izmantot\u0101 p\u0101rbaude, migr\u0101cijas p\u0101rbaude, skr\u0101p\u0113juma p\u0101rbaude vai br\u016b\u010du dz\u012b\u0161ana ir p\u0101rbaude, ko parasti izmanto biolo\u0123ij\u0101, jo t\u0101 \u013cauj analiz\u0113t fiziolo\u0123isko un patolo\u0123isko \u0161\u016bnu notikumu pamatmeh\u0101nismu. <\/p>\n\n\n\n

Izp\u0113t\u012bt br\u016b\u010du dz\u012b\u0161anu ir svar\u012bgs veids, k\u0101 izprast ne tikai angiog\u0113zi un audz\u0113ju att\u012bst\u012bbu, bet ar\u012b audu model\u0113\u0161anu un att\u012bst\u012bbu. <\/p>\n\n\n\n

Veicot testu div\u0101s dimensij\u0101s, ir iesp\u0113jams izm\u0113r\u012bt, cik \u0101tri \u0161\u016bnas rea\u0123\u0113 uz br\u016bci, aptverot noteiktu zonu.<\/p>\n\n\n\n

Citiem v\u0101rdiem sakot, eksperiments b\u016bt\u012bb\u0101 ir izveidot plaisu monosl\u0101n\u012b konfluences \u0161\u016bnu pl\u0101ksn\u0113. <\/p>\n\n\n\n

Laika gait\u0101, lai aizpild\u012btu spraugu, \u0161\u016bnas s\u0101k migr\u0113t, un var izm\u0113r\u012bt \u0161\u016bnu migr\u0101cijas \u0101trumu. <\/p>\n\n\n\n

P\u0113c tam, lai izm\u0113r\u012btu \u0161\u016bnu migr\u0101cijas \u0101trumu, vi\u0146iem ir j\u0101ieg\u016bst att\u0113li, to ir daudz, kas savuk\u0101rt ir problem\u0101tisks anal\u012bzes posms, jo tas prasa manu\u0101lu m\u0113r\u012b\u0161anu. <\/p>\n\n\n\n

Par laimi, m\u016bsdien\u0101s m\u016bsu r\u012bc\u012bb\u0101 ir daudz tehnolo\u0123iju, kas \u013cauj uzlabot un moderniz\u0113t anal\u012bzes procesu, \u013caujot zin\u0101tniekiem izmantot lab\u0101kus un personaliz\u0113t\u0101kus veidus rezult\u0101tu ieg\u016b\u0161anai. <\/p>\n\n\n\n

T\u0101pat k\u0101 to dar\u012bja Garsija-Fosa un G\u0101ls.<\/p>\n\n\n\n

M\u016bsdien\u0101s ir iesp\u0113jams atrast citus komerci\u0101lus un nekomerci\u0101lus r\u012bkus, kas pieejami br\u016bces zonas apstr\u0101dei. <\/p>\n\n\n\n

Ta\u010du tie nav tik vienk\u0101r\u0161i k\u0101 PyScratch, un no lietot\u0101ja prasa zin\u0101mu programm\u0113\u0161anas l\u012bmeni, k\u0101 ar\u012b prasa no lietot\u0101ja pilna laika uzman\u012bbu, padarot anal\u012bzi uz\u0146\u0113m\u012bg\u0101ku pret cilv\u0113ka k\u013c\u016bd\u0101m, k\u0101 ar\u012b laiku, ko p\u0113tnieks pat\u0113r\u0113, lai analiz\u0113tu visus att\u0113lus un datus.<\/p>\n\n\n\n

Rakst\u0101 autori skaidro, k\u0101 programmat\u016bra darbojas. No visiem eksperimenta laik\u0101 uz\u0146emtajiem att\u0113liem lietot\u0101js sa\u0146em komat\u0101 atdal\u012btu v\u0113rt\u012bbu (.cvs) failu, kur\u0101 ir saglab\u0101ti tabulas dati vienk\u0101r\u0161\u0101 tekst\u0101. <\/p>\n\n\n\n

P\u0113c tam lietot\u0101js var apstr\u0101d\u0101t datus sav\u0101 ierastaj\u0101 k\u0101rt\u012bb\u0101. Garsija-Fosa st\u0101sta, ka programma bija b\u016btiska vi\u0146as ma\u0123istra darbam: \"Programmat\u016bra p\u0101rveido ievades datus v\u0113rt\u012bb\u0101s, kur\u0101m ir biolo\u0123iska j\u0113ga, piem\u0113ram, \u0161\u016bnu migr\u0101cijas \u0101trums. <\/p>\n\n\n\n

Pateicoties PyScratch, es var\u0113ju lab\u0101k analiz\u0113t savu nanoda\u013ci\u0146u iedarb\u012bbu uz prostatas v\u0113\u017ea \u0161\u016bn\u0101m un izm\u0113r\u012bt \u0161\u016bnu migr\u0101cijas \u0101trumu, k\u0101 ar\u012b prec\u012bzu laiku, kad t\u0101s labi nosl\u0113dzas.\"<\/p>\n\n\n\n

\"\"<\/a><\/figure><\/div>\n\n\n\n

Ja v\u0113laties izm\u0113\u0123in\u0101t PyScratch savos p\u0113t\u012bjumos, programmat\u016bra ir br\u012bvi pieejama, un ikvienam zin\u0101tnieku kopienas p\u0101rst\u0101vim ir at\u013cauts to izmantot, pal\u012bdzot Garsijai-Fosai un Gaalam uzlabot un pilnveidot programmu.<\/p>\n\n\n\n

 ____<\/p>\n\n\n\n

K\u0101da ir j\u016bsu l\u012bdz\u0161in\u0113j\u0101 pieredze ar Mind the Graph? Pal\u012bdziet mums uzlabot m\u016bsu platformu jums un daudziem citiem zin\u0101tniekiem, public\u0113jot Mind the Graph p\u0101rskatu. Past\u0101stiet mums par savu pieredzi, vienk\u0101r\u0161i noklik\u0161\u0137iniet uz \u0161eit<\/a>. <\/p>","protected":false},"excerpt":{"rendered":"

PyScratch ir jauna atv\u0113rt\u0101 koda programmat\u016bra, kas ir ieviesta Python valod\u0101 migr\u0101cijas datu anal\u012bzes veik\u0161anai, ar lietot\u0101jam draudz\u012bgu saskarni, kas \u013cauj to izmantot zin\u0101tniekiem ar neliel\u0101m programm\u0113\u0161anas prasm\u0113m vai bez t\u0101m. Programmat\u016bra tika izstr\u0101d\u0101ta 2017. gad\u0101, sadarbojoties trim Braz\u012blijas zin\u0101tniekiem Kampinasas Universit\u0101tes NanoCell Interactions laboratorij\u0101. T\u0101 tika [...]<\/p>","protected":false},"author":4,"featured_media":12133,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[959,28],"tags":[817,554,964],"yoast_head":"\nA new tool for processing spatial and temporal information<\/title>\n<meta name=\"description\" content=\"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/lv\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/\" \/>\n<meta property=\"og:locale\" content=\"lv_LV\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A new tool for processing spatial and temporal information\" \/>\n<meta property=\"og:description\" content=\"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/lv\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2021-01-13T11:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-10-18T11:09:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/01\/pyscratch-a-new-tool-to-process-spatial-and-temporal-information-from-scratch-assays.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1123\" \/>\n\t<meta property=\"og:image:height\" content=\"612\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Fabricio Pamplona\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fabricio Pamplona\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"A new tool for processing spatial and temporal information","description":"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/mindthegraph.com\/blog\/lv\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","og_locale":"lv_LV","og_type":"article","og_title":"A new tool for processing spatial and temporal information","og_description":"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.","og_url":"https:\/\/mindthegraph.com\/blog\/lv\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","og_site_name":"Mind the Graph Blog","article_published_time":"2021-01-13T11:30:00+00:00","article_modified_time":"2022-10-18T11:09:26+00:00","og_image":[{"width":1123,"height":612,"url":"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/01\/pyscratch-a-new-tool-to-process-spatial-and-temporal-information-from-scratch-assays.png","type":"image\/png"}],"author":"Fabricio Pamplona","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Fabricio Pamplona","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","url":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/","name":"A new tool for processing spatial and temporal information","isPartOf":{"@id":"https:\/\/mindthegraph.com\/blog\/#website"},"datePublished":"2021-01-13T11:30:00+00:00","dateModified":"2022-10-18T11:09:26+00:00","author":{"@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/c8eaee6d8007ac319523c3ddc98cedd3"},"description":"Read this blog to know what PyScratch is and how that new tool processes spatial and temporal information from scratch assays.","breadcrumb":{"@id":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/#breadcrumb"},"inLanguage":"lv","potentialAction":[{"@type":"ReadAction","target":["https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/mindthegraph.com\/blog\/it\/saggi-pyscratch-spatial-and-temporal-information-from-scratch\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/mindthegraph.com\/blog\/"},{"@type":"ListItem","position":2,"name":"PyScratch: A New Tool to Process Spatial and Temporal Information from Scratch Assays"}]},{"@type":"WebSite","@id":"https:\/\/mindthegraph.com\/blog\/#website","url":"https:\/\/mindthegraph.com\/blog\/","name":"Mind the Graph Blog","description":"Your science can be beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/mindthegraph.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"lv"},{"@type":"Person","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/c8eaee6d8007ac319523c3ddc98cedd3","name":"Fabricio Pamplona","image":{"@type":"ImageObject","inLanguage":"lv","@id":"https:\/\/mindthegraph.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/da6985d9f20ecb24f3238df103a638ac?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/da6985d9f20ecb24f3238df103a638ac?s=96&d=mm&r=g","caption":"Fabricio Pamplona"},"description":"Fabricio Pamplona is the founder of Mind the Graph - a tool used by over 400K users in 60 countries. He has a Ph.D. and solid scientific background in Psychopharmacology and experience as a Guest Researcher at the Max Planck Institute of Psychiatry (Germany) and Researcher in D'Or Institute for Research and Education (IDOR, Brazil). Fabricio holds over 2500 citations in Google Scholar. He has 10 years of experience in small innovative businesses, with relevant experience in product design and innovation management. Connect with him on LinkedIn - Fabricio Pamplona.","sameAs":["http:\/\/mindthegraph.com","https:\/\/www.linkedin.com\/in\/fabriciopamplona"],"url":"https:\/\/mindthegraph.com\/blog\/lv\/author\/fabricio\/"}]}},"_links":{"self":[{"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/posts\/12130"}],"collection":[{"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/comments?post=12130"}],"version-history":[{"count":1,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/posts\/12130\/revisions"}],"predecessor-version":[{"id":12134,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/posts\/12130\/revisions\/12134"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/media\/12133"}],"wp:attachment":[{"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/media?parent=12130"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/categories?post=12130"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mindthegraph.com\/blog\/lv\/wp-json\/wp\/v2\/tags?post=12130"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}