“To work in a field like that you have to be confident that you’re right even when everybody else says you’re wrong.”

Geoffrey Hinton describes in his official Nobel Prize interview that success comes from never giving up, even if no one believes in you.

Hinton was awarded the 2024 physics prize “for foundational discoveries and inventions that enable machine learning with artificial neural networks”.

Watch the full interview here: https://bit.ly/4bAXtps

Linux: raw.HQ.samples.SNP.final.filtered-1.sample_standardized_label.AB_annotated.DP6.GQ20.remove_low_depth_sample.rename_chr.vcf.gz

tasavvur qiling sizda shunday uzunlikdagi fayl bor.

Bu bilan kod yozib ishlash nightmare, shunday paytda linuxning foydalanuvchi uchun eng zo'r funktsiyalaridan "ln -s" keladi.

Bu funksiya sizga original faylga boshqa qisqa symlink orqali nom berishga yordam beradi.

Masalan:
ln -s

raw.HQ.samples.SNP.final.filtered-1.sample_standardized_label.AB_annotated.DP6.GQ20.remove_low_depth_sample.rename_chr.vcf.gz

raw.filtered.vcf.gz

https://t.me/EvolutionaryGenomics

Bor kuchidan, bor kuchi bilan foydalanish shunday bo'lsa kerak, mavjud 160 threads ning hammasi xizmatda, peak.

Big Data Analysis

223 hours with 20 threads work. A huge amount of bootstrapping and fold in population admixture analysis.

https://t.me/EvolutionaryGenomics

Mushuk bilan ip galasini ko'rgansizlar-a? Ana shunday coding buyog'i o'rtoq grajdanlar.

Iyerarxik dendrogramma, sizda bir yoki bir nechta turlarning populyatsiyalaridan namunalar bo'lsa ular orasidagi faqatgina morfologik variatsiya emas, balki strukturani klasterlarga ham ajratib o'rganishingiz mumkin. Ushbu dendrogramma uch xil morfotiplarga asoslangan xolda qilindi. Rasmda blue circle va green diamond tipped namunalar bir turga mansub 2 morfotip. Unga sister klasterda esa boshqa triangular tipped namunalar boshqa ikkinchi turga tegishli. Bu analiz orqali sizda genetik DNK sekvens namunalari bo'lmasa ham turlararo va tur ichidagi strukturani o'rganishingiz mumkin.

https://t.me/EvolutionaryGenomics

The era for bioinformatician is already entered into actual practice. Today, you mostly don't need to take beginning pure python or R guidebook, where it does teach you formulas or structure, rather apply real biological data in scientific analyses. So luckily, you first address the reference paper for methods of analyses, and then move on github deposited scripts, while landing your raw script into AI for rapid modification regarding your input data structure. At the end, you start writing long scripts and debugging, so far, this is being bioinformatician.

https://t.me/EvolutionaryGenomics

It is great that my knowledge is valued to review a manuscript from scientists of University of California Davis.

https://youtu.be/nr4-VKr8q9A?si=fZ_6OBF01nyZimZZ


Guys here I wanna share some personal experiences those align with what Khabibulla Nizamov says:

If you are in your mid-age 25-30s, you may have private problems in life or work.

This age is quite prone to have addictions (bad habits). And you may face difficulties to maintain both emotional and physical stability.

Well, this can be fixed by just daily sport. Spending your around an hour at gym, would really first relax your mind. Step-by-step you could maintain patience at your work, later you promptly feel confidence in what you’re doing. At the beginning, it might be a little challenging to get consistent practice, but once you see change in your body, in your muscles, you feel utmost satisfaction and happiness.


This works with all successful people, keeps you hydrated and active throughout the day. Subsequently, people around you will start following your success road!

Sometimes you need to wait a long time, to get shit or pretty results!

🇨🇳 2027 CAS–ANSO SCHOLARSHIP: Xitoyda Magistratura va PhD Uchun To‘liq Grantga Tayyorgarlikni Hozirdan Boshlang!

Xitoyda Magistratura yoki PhD bosqichida 100% to‘liq grant asosida o‘qishni va dunyoning eng nufuzli ilmiy markazlarida tadqiqot olib borishni rejalashtirayotgan bo‘lsangiz, bu imkoniyatni qo‘ldan boy bermang!

📢 2027-yilgi rasmiy qabul hali e’lon qilinmagan, ammo oldingi yillardagi xronologiyani hisobga olsak, yangi chaqiruv yaqin oylarda (oktabr oyi o'rtalarida) boshlanishi kutilmoqda. Raqobat kuchli bo‘lgani sababli, g‘oliblik imkoniyatini oshirish uchun hujjatlarni hozirdanoq tayyorlash shart.

🎓 CAS–ANSO Scholarship O‘zi Nima?
Bu dastur Xitoy Fanlar Akademiyasi (Chinese Academy of Sciences — CAS) hamda ANSO (Alliance of International Science Organizations) tomonidan xalqaro talabalar uchun taqdim etiladigan eng nufuzli va eng yuqori stipendiyali grant dasturidir.
Ushbu grant orqali siz:

• University of Chinese Academy of Sciences (UCAS)
• University of Science and Technology of China (USTC)
• Hamda Xitoy Fanlar Akademiyasining 100 dan ortiq ilmiy-tadqiqot institutlarida eng zamonaviy laboratoriyalarda tahsil olish imkoniga ega bo‘lasiz.
Har yili dastur doirasida dunyo bo‘ylab taxminan:

• 🎓 100–200 nafar magistratura talabasi
• 🔬 300 nafar PhD talabasi to‘liq moliyalashtiriladi.

💰 Grant Nimalarni Qoplaydi? (2026-yilgi shartlar asosida)

• O‘qish to‘lovi — 100% bepul
• Ariza topshirish to‘lovi (Application fee) — qoplanadi
• Tibbiy sug‘urta va xalqaro safar xarajatlari uchun yordam puli
• Birinchi viza va yashash ruxsatnomasi (Residence Permit) xarajatlari
• 💵 Oylik stipendiya:
• Magistratura: 3 000 RMB/oy (36 oygacha)
• PhD: 6 000 – 7 000 RMB/oy (48 oygacha)

⚠️ Eslatma: 2027-yil uchun stipendiya miqdori va yakuniy shartlar rasmiy call chiqqach qayta tekshiriladi.

📑 HOZIRDAN NIMALARNI TAYYORLASH KERAK? (7 ta Muhim Qadam)

1. Academic CV: Ta’lim, ilmiy tajriba, konferensiyalar, maqolalar va loyihalaringizni xalqaro standartga keltiring.
2. Diplom va Transcriptlar: Hujjatlarni ingliz tiliga rasmiy tarjima va notarial tasdiqlashni oldindan hal qiling.
3. English Proficiency: IELTS, TOEFL yoki universitet mos keladigan boshqa til sertifikatini tayyorlang.
4. Motivation Letter / Study Plan: Nega aynan Xitoy, nima uchun aynan shu yo‘nalish va ilmiy maqsadingiz nimaligini asoslab beruvchi kuchli matn yozing.
5. Research Proposal (Faqat PhD uchun): Kelajakdagi tadqiqot rejangizni aniq shakllantiring.
6. SUPERVISOR (Ilmiy Rahbar) Qidirish: UCAS tizimida supervisorni oldindan topish majburiy bo‘lmasa-da, professorlardan Acceptance Letter olish sizni raqobatchilaringizdan 10 qadam oldinga olib chiqadi. Professorga qisqa, professional email, CV va research interests yuborishni hozirdan boshlash kerak.
7. Recommendation Letters: Oxirgi kunlarda shoshilib qolmaslik uchun sizga tavsiyanoma bera oladigan 2 nafar professor bilan hozirdanoq gaplashib qo‘ying.

📅 Taxminiy muddatlar: O'tgan yili qabul 15-oktabrda ochilib, 31-yanvarda yopilgan. Vaqt juda kam!

🚀 ANSO Grantini Yutishni Va UCAS Talabasi Bo‘lishni Xohlaysizmi?

Ushbu murakkab jarayonni yolg'iz bosib o'tish shart emas. Men CAS-ANSO stipendiyasini yutib, UCAS’da muvaffaqiyatli tahsil olishingiz uchun Individual Mentorlik Kursini ochmoqdaman!
Ushbu individual kursda siz bilan birma-bir ishlaymiz:

• 🎯 Yo‘nalishingizga mos CAS institutlari va professorlarni aniqlaymiz.

• ✍️ Professorlar rad eta olmaydigan Academic CV va Cold Email shablonlarini tuzamiz.

• 📝 Study Plan va Research Proposal hujjatlaringizni xalqaro talablarga moslab tahrirlaymiz.

• 💬 Professorlar bilan bo‘ladigan intervyu (suhbat) bosqichiga tayyorlanamiz va xatosiz ariza topshiramiz.

Hujjatlar poygasida vaqtni boy bermang. Kursda joylar soni juda cheklangan (chunki har bir nomzod bilan individual ishlanadi).

📥 Kurs formati, narxi va ro‘yxatdan o‘tish uchun menga shaxsiy xabar (DM) yuboring!

Telegram:
@Akbarjon_Rozimov


https://t.me/EvolutionaryGenomics

Guys, I’m thrilled to share that I have started sharing professional posts based on my personal experience on my own website. Hopefully, it would benefit scientists who are starting genomics from scratch!!!

Below is the link for post:

https://akbarjon-rozimov.com/blog/collecting-fish-tissues-sequencing/

Damn!!!

Reks was a warm-blooded buddy!!! 36.3 | 2.5^C😅😅😅


Read it here:
https://doi.org/10.1126/sciadv.aeb7653

Warm reminder regarding the scholarship guide course: we are starting individual preparations. DM to reserve your application!

Why should you pursue your MSc/PhD at UCAS?

Below is a clear answer:

On September 23, Clarivate Analytics released the latest Essential Science Indicators (ESI) data for September 2026, covering data from January 1, 2016, to June 30, 2026.

In terms of international rankings, University of Chinese Academy of Sciences (UCAS) retains its spot as No. 1 among universities in the Chinese mainland, currently ranking 8th globally. 

Tsinghua University ranks 2nd domestically and 18th internationally. Zhejiang University holds the 3rd spot, ranking 23rd worldwide. It is closely followed by Shanghai Jiao Tong University (24th globally) and Peking University (32nd globally). Other universities in the Chinese mainland ranked in the global top 100 include Sun Yat-sen University, Huazhong University of Science and Technology, Fudan University, Central South University, University of Science and Technology of China, Sichuan University, Xi'an Jiaotong University, Wuhan University, Nanjing University, and Tianjin University.

ESI (Essential Science Indicators) is currently one of the key analytical tools widely used around the world to evaluate the international academic performance and influence of universities, academic institutions, countries, and regions.


UCAS ranks as the No. 1 university in China, a way higher than Tsinghua or Peking University that you might not aware of it!

Happy to share I have completed Bioinformatics I course certified by the University of California San Diego.

https://coursera.org/share/14ab876c5c2a5d02b6702bb56eaacb37

Happy to share that I successfully completed the second course, Bioinformatics II, at the University of California, San Diego, which focused on genome sequencing and assembly.

https://coursera.org/share/087986fb4a45eadb87763f5c7b8888e5